cloud computing
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NS1 brings open-source service NetBox to the cloud
New York City based startup NS1 got its start providing organizations with managed DNS services to help accelerate application delivery and reliability. With its new NetBox Cloud service that is being announced in preview today, NS1 is expanding its services into a new area beyond DNS.
It can often be a challenging task for a network administrator in an enterprise to understand where all the networking infrastructure is and how it’s all supposed to be connected. That’s a job for an emerging class of enterprise technology known as Infrastructure Resource Management (IRM) that NS1 is now jumping into. TechCrunch profiled NS1 in a wide-ranging EC-1 series last month. The company provides DNS as a service, for some of the biggest sites on the internet. DNS, or domain name system is about connecting IP addresses to domain names and NS1 has technology that helps organizations to intelligently optimize application traffic delivery.
With its new NetBox Cloud service, NS1 is providing a managed service for NetBox which is a popular open source IRM tool that was initially built by developer Jeremy Stretch, while he was working at cloud provider DigitalOcean. Stretch joined NS1 as a distinguished engineer in April of this year, with NS1 now supporting the open source project.
Stretch recounted that at one point during his tenure at DigitalOcean he was using Microsoft Excel spreadsheets to track IP address management. Using a spreadsheet to track IP addresses doesn’t scale, so Stretch coded the initial version of NetBox in 2015 to address that need. Over the last several years, NetBox has expanded with additional capabilities that will now also help users of NS1’s NetBox Cloud service.
Stretch explained that Netbox’s role is primarily in modelling network infrastructure in an approach that provides what he referred to as a “source of truth” for network infrastructure. The basic idea is to enable organizations to model their desired state of their networks and then from that point they can draw in monitoring to verify that the operational state is the same as the desired state.
“So the idea of this source of truth is that it is the actual documented authoritative record of what is supposed to be configured on the network,” Stretch said.
NetBox has continued to grow over the years as a popular open source tool, but it hasn’t been particularly accessible to enterprises that required commercial support to get started, or that wanted a managed service. The goal with the new service is to make it easier for organizations of any size to get started with NetBox to better manage their networks.
NS1 co-founder and CEO Kris Beevers told TechCrunch that while Stretch has done a solid job of building the NetBox open source community, there hasn’t been a commercial service for NetBox. Beevers said that while NetBox has had broad adoption as an open source effort, in his view there are a lot of enterprises that will want commercial support and a managed service.
One key theme that Beevers reiterated time and again in the Extra Crunch EC-1 series is that NS1 is very experimental as a business, and that same theme holds true for NetBox. The primary objective for the initial beta release of the NetBox Cloud is all about figuring out exactly who is trying to adopt the technology and learning what challenges commercial users will face. Fundamentally, Beevers said that NS1 will be actively iterating on NetBox Cloud to make sure it addresses the things that enterprises care about.
“From the NS1 point of view, this is just such a compelling open source product and community and we want to drive barriers to adoption as low as we possibly can,” Beevers said.
NS1 was founded in 2013 and has raised $118.4 million in funding, including a $40 million Series D which the company closed in July 2020.
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Announcing the agenda for TechCrunch Sessions: SaaS
On October 27, we’re taking on the ferociously competitive field of software as a service (SaaS), and we’re thrilled to announce our packed agenda, overflowing with some of the biggest names and most exciting startups in the industry. And you’re in luck, because $75 early-bird tickets are still on sale — make sure you book yours so you can enjoy all the agenda has to offer and save $100 bucks before prices go up!
Throughout the day, you can expect to hear from industry experts, and take part in discussions about the potential of new advances in data, open source, how to deal with the onslaught of security threats, investing in early-stage startups and plenty more.
We’ll be joined by some of the biggest names and the smartest and most prescient people in the industry, including Javier Soltero at Google, Kathy Baxter at Salesforce, Jared Spataro at Microsoft, Jay Kreps at Confluent, Sarah Guo at Greylock and Daniel Dines at UiPath.
You’ll be able to find and engage with people from all around the world through world-class networking on our virtual platform — all for $75 and under for a limited time, with even deeper discounts for nonprofits and government agencies, students and up-and-coming founders!
Our agenda showcases some of the powerhouses in the space, but also plenty of smaller teams that are building and debunking fundamental technologies in the industry. We still have a few tricks up our sleeves and will be adding some new names to the agenda over the next month, so keep your eyes open.
In the meantime, check out these agenda highlights:
Survival of the Fittest: Investing in Today’s SaaS Market
with Casey Aylward (Costanoa Ventures), Kobie Fuller (Upfront) and Sarah Guo (Greylock)
- The venture capital world is faster and more competitive than ever. For investors hoping to get into the hottest SaaS deal, things are even crazier. With more nontraditional money pouring into the sector, remote dealmaking now the norm and an increasingly global market for software startups, venture capitalists are being forced to shake up their own operations — and expectations. TechCrunch sits down with three leading investors to discuss how they are fighting for allocation in hot deals, what they’ve changed in their own processes, and what today’s best founders are demanding.
Data, Data Everywhere
with Ali Ghodsi (Databricks)
- As companies struggle to manage and share increasingly large amounts of data, it’s no wonder that Databricks, whose primary product is a data lake, was valued at a whopping $28 billion for its most recent funding round. We’re going to talk to CEO Ali Ghodsi about why his startup is so hot, and what comes next.
SaaS Security, Today and Tomorrow
with Edna Conway (Microsoft), Olivia Rose (Amplitude)
- Enterprises face a constant stream of threats, from nation states to cybercriminals and corporate insiders. After a year where billions worked from home and the cloud reigned supreme, startups and corporations alike can’t afford to stay off the security pulse. Find out what SaaS startups need to know about security now, and in the future.
Automation’s Moment Is Now
with Daniel Dines (UiPath), Laela Sturdy (CapitalG) and Dave Wright (ServiceNow)
- One thing we learned during the pandemic is the importance of automation, and that’s only likely to be more pronounced as we move forward. We’ll be talking to UiPath CEO Daniel Dines, Laela Sturdy, an investor at CapitalG and Dave Wright from ServiceNow about why this is automation’s moment.
Was the Pandemic Cloud Productivity’s Spark
with Javier Soltero (Google)
- One big aspect of SaaS is productivity apps like Gmail, Google Calendar and Google Drive. We’ll talk with executive Javier Soltero about the role Google Workspace plays in the Google cloud strategy.
The Future Is Wide Open
with Abby Kearns (Puppet), Aghi Marietti (Kong) and Jason Warner (Redpoint)
- Many startups today have an open-source component, and it’s no wonder. It builds an audience and helps drive sales. We’ll talk with Abby Kearns from Puppet, Augusto “Aghi” Marietti from Kong and Jason Warner, an investor at Redpoint, about why open source is such a popular way to build a business.
How Microsoft Shifted from On-Prem to the Cloud
with Jared Spataro (Microsoft)
- Jared Spataro has been with Microsoft for over 15 years and he was a part of the shift from strictly on-prem software to that which is dominated by the cloud. Today he runs one of the most successful SaaS products out there, and we’ll talk to him about how Microsoft made that shift and what it’s meant to the company.
How Startups are Turning Data into Software Gold
with Jenn Knight (Agentsync), Barr Moses (Monte Carlo) and Dan Wright (DataRobot)
- The era of big data is behind us. Today’s leading SaaS startups are working with data, instead of merely fighting to help customers collect information. We’ve collected three leaders from three data-focused startups that are forging new markets to get their insight on how today’s SaaS companies are leveraging data to build new companies, attack new problems and, of course, scale like mad.
What Happens After Your Startup Is Acquired
with Jyoti Bansal (Harness), Nick Mehta (GainSight) and Jewel Burkes Solomon (Partpic)
- We’ll speak to three founders about the emotional upheaval of being acquired and what happens after the check clears and the sale closes. Our panel includes Jyoti Bansal who founded AppDynamics, Jewel Burkes Solomon, who founded Partpic and Nick Mehta from GainSight.
Fireside Chat
with Jay Kreps (Confluent)
- Confluent, the streaming platform built on top of Apache Kafka, was born out of a project at LinkedIn, and rode that from startup to IPO. We’ll speak to co-founder and CEO Jay Kreps to learn about what that journey was like.
We’ll have more sessions and names shortly, so stay tuned. But get excited in the meantime, we certainly are.
Pro tip: Keep your finger on the pulse of TC Sessions: SaaS. Get updates when we announce new speakers, add events and offer ticket discounts.
Why should you carve a day out of your hectic schedule to attend TC Sessions: SaaS? This may be the first year we’ve focused on SaaS, but this ain’t our first rodeo. Here’s what other attendees have to say about their TC Sessions experience.
“TC Sessions: Mobility offers several big benefits. First, networking opportunities that result in concrete partnerships. Second, the chance to learn the latest trends and how mobility will evolve. Third, the opportunity for unknown startups to connect with other mobility companies and build brand awareness.” — Karin Maake, senior director of communications at FlashParking.
“People want to be around what’s interesting and learn what trends and issues they need to pay attention to. Even large companies like GM and Ford were there, because they’re starting to see the trend move toward mobility. They want to learn from the experts, and TC Sessions: Mobility has all the experts.” — Melika Jahangiri, vice president at Wunder Mobility.
TC Sessions: SaaS 2021 takes place on October 27. Grab your team, join your community and create opportunity. Don’t wait — jump on the early bird ticket sale right now.
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Insight Partners leads $30M round into Metabase, developing enterprise business intelligence tools
Open-source business intelligence company Metabase announced Thursday a $30 million Series B round led by Insight Partners.
Existing investors Expa and NEA joined in on the round, which gives the San Francisco-based company a total of $42.5 million in funding since it was founded in 2015. Metabase previously raised $8 million in Series A funding back in 2019, led by NEA.
Metabase was developed within venture studio Expa and spun out as an easy way for people to interact with data sets, co-founder and CEO Sameer Al-Sakran told TechCrunch.
“When someone wants access to data, they may not know what to measure or how to use it, all they know is they have the data,” Al-Sakran said. “We provide a self-service access layer where they can ask a question, Metabase scans the data and they can use the results to build models, create a dashboard and even slice the data in ways they choose without having an analyst build out the database.”
He notes that not much has changed in the business intelligence realm since Tableau came out more than 15 years ago, and that computers can do more for the end user, particularly to understand what the user is going to do. Increasingly, open source is the way software and information wants to be consumed, especially for the person that just wants to pull the data themselves, he added.
George Mathew, managing director of Insight Partners, believes we are seeing the third generation of business intelligence tools emerging following centralized enterprise architectures like SAP, then self-service tools like Tableau and Looker and now companies like Metabase that can get users to discovery and insights quickly.
“The third generation is here and they are leading the charge to insights and value,” Mathew added. “In addition, the world has moved to the cloud, and BI tools need to move there, too. This generation of open source is a better and greater example of all three of those.”
To date, Metabase has been downloaded 98 million times and used by more than 30,000 companies across 200 countries. The company pursued another round of funding after building out a commercial offering, Metabase Enterprise, that is doing well, Al-Sakran said.
The new funding round enables the company to build out a sales team and continue with product development on both Metabase Enterprise and Metabase Cloud. Due to Metabase often being someone’s first business intelligence tool, he is also doubling down on resources to help educate customers on how to ask questions and learn from their data.
“Open source has changed from floppy disks to projects on the cloud, and we think end users have the right to see what they are running,” Al-Sakran said. “We are continuing to create new features and improve performance and overall experience in efforts to create the BI system of the future.
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Disaster recovery can be an effective way to ease into the cloud
Operating in the cloud is soon going to be a reality for many businesses whether they like it or not. Points of contention with this shift often arise from unfamiliarity and discomfort with cloud operations. However, cloud migrations don’t have to be a full lift and shift.
Instead, leaders unfamiliar with the cloud should start by moving over their disaster recovery program to the cloud, which helps to gain familiarity and understanding before a full migration of production workloads.
What is DRaaS?
Disaster recovery as a service (DRaaS) is cloud-based disaster recovery delivered as a service to organizations in a self-service, partially managed or fully managed service model. The agility of DR in the cloud affords businesses a geographically diverse location to failover operations and run as close to normal as possible following a disruptive event. DRaaS emphasizes speed of recovery so that this failover is as seamless as possible. Plus, technology teams can offload some of the more burdensome aspects of maintaining and testing their disaster recovery.
When it comes to disaster recovery testing, allow for extra time to let your IT staff learn the ins and outs of the cloud environment.
DRaaS is a perfect candidate for a first step into the cloud for five main reasons:
- Using DRaaS helps leaders get accustomed to the ins and outs of cloud before conducting a full production shift.
- Testing cycles of the DRaaS solution allows IT teams to see firsthand how their applications will operate in a cloud environment, enabling them to identify the applications that will need a full or partial refactor before migrating to the cloud.
- With DRaaS, technology leaders can demonstrate an early win in the cloud without risking full production.
- DRaaS success helps gain full buy-in from stakeholders, board members and executives.
- The replication tools that DRaaS uses are sometimes the same tools used to migrate workloads for production environments — this helps the technology team practice their cloud migration strategy.
Steps to start your DRaaS journey to the cloud
Define your strategy
Do your research to determine if DRaaS is right for you given your long-term organizational goals. You don’t want to start down a path to one cloud environment if that cloud isn’t aligned with your company’s objectives, both for the short and long term. Having cross-functional conversations among business units and with company executives will assist in defining and iterating your strategy.
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VCs are betting big on Kubernetes: Here are 5 reasons why
I worked at Google for six years. Internally, you have no choice — you must use Kubernetes if you are deploying microservices and containers (it’s actually not called Kubernetes inside of Google; it’s called Borg). But what was once solely an internal project at Google has since been open-sourced and has become one of the most talked about technologies in software development and operations.
For good reason. One person with a laptop can now accomplish what used to take a large team of engineers. At times, Kubernetes can feel like a superpower, but with all of the benefits of scalability and agility comes immense complexity. The truth is, very few software developers truly understand how Kubernetes works under the hood.
I like to use the analogy of a watch. From the user’s perspective, it’s very straightforward until it breaks. To actually fix a broken watch requires expertise most people simply do not have — and I promise you, Kubernetes is much more complex than your watch.
How are most teams solving this problem? The truth is, many of them aren’t. They often adopt Kubernetes as part of their digital transformation only to find out it’s much more complex than they expected. Then they have to hire more engineers and experts to manage it, which in a way defeats its purpose.
Where you see containers, you see Kubernetes to help with orchestration. According to Datadog’s most recent report about container adoption, nearly 90% of all containers are orchestrated.
All of this means there is a great opportunity for DevOps startups to come in and address the different pain points within the Kubernetes ecosystem. This technology isn’t going anywhere, so any platform or tooling that helps make it more secure, simple to use and easy to troubleshoot will be well appreciated by the software development community.
In that sense, there’s never been a better time for VCs to invest in this ecosystem. It’s my belief that Kubernetes is becoming the new Linux: 96.4% of the top million web servers’ operating systems are Linux. Similarly, Kubernetes is trending to become the de facto operating system for modern, cloud-native applications. It is already the most popular open-source project within the Cloud Native Computing Foundation (CNCF), with 91% of respondents using it — a steady increase from 78% in 2019 and 58% in 2018.
While the technology is proven and adoption is skyrocketing, there are still some fundamental challenges that will undoubtedly be solved by third-party solutions. Let’s go deeper and look at five reasons why we’ll see a surge of startups in this space.
Containers are the go-to method for building modern apps
Docker revolutionized how developers build and ship applications. Container technology has made it easier to move applications and workloads between clouds. It also provides as much resource isolation as a traditional hypervisor, but with considerable opportunities to improve agility, efficiency and speed.
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Tech leaders can be the secret weapon for supercharging ESG goals
Environmental, social and governance (ESG) factors should be key considerations for CTOs and technology leaders scaling next generation companies from day one. Investors are increasingly prioritizing startups that focus on ESG, with the growth of sustainable investing skyrocketing.
What’s driving this shift in mentality across every industry? It’s simple: Consumers are no longer willing to support companies that don’t prioritize sustainability. According to a survey conducted by IBM, the COVID-19 pandemic has elevated consumers’ focus on sustainability and their willingness to pay out of their own pockets for a sustainable future. In tandem, federal action on climate change is increasing, with the U.S. rejoining the Paris Climate Agreement and a recent executive order on climate commitments.
Over the past few years, we have seen an uptick in organizations setting long-term sustainability goals. However, CEOs and chief sustainability officers typically forecast these goals, and they are often long term and aspirational — leaving the near and midterm implementation of ESG programs to operations and technology teams.
Until recently, choosing cloud regions meant considering factors like cost and latency to end users. But carbon is another factor worth considering.
CTOs are a crucial part of the planning process, and in fact, can be the secret weapon to help their organization supercharge their ESG targets. Below are a few immediate steps that CTOs and technology leaders can take to achieve sustainability and make an ethical impact.
Reducing environmental impact
As more businesses digitize and more consumers use devices and cloud services, the energy needed by data centers continues to rise. In fact, data centers account for an estimated 1% of worldwide electricity usage. However, a forecast from IDC shows that the continued adoption of cloud computing could prevent the emission of more than 1 billion metric tons of carbon dioxide from 2021 through 2024.
Make compute workloads more efficient: First, it’s important to understand the links between computing, power consumption and greenhouse gas emissions from fossil fuels. Making your app and compute workloads more efficient will reduce costs and energy requirements, thus reducing the carbon footprint of those workloads. In the cloud, tools like compute instance auto scaling and sizing recommendations make sure you’re not running too many or overprovisioned cloud VMs based on demand. You can also move to serverless computing, which does much of this scaling work automatically.
Deploy compute workloads in regions with lower carbon intensity: Until recently, choosing cloud regions meant considering factors like cost and latency to end users. But carbon is another factor worth considering. While the compute capabilities of regions are similar, their carbon intensities typically vary. Some regions have access to more carbon-free energy production than others, and consequently the carbon intensity for each region is different.
So, choosing a cloud region with lower carbon intensity is often the simplest and most impactful step you can take. Alistair Scott, co-founder and CTO of cloud infrastructure startup Infracost, underscores this sentiment: “Engineers want to do the right thing and reduce waste, and I think cloud providers can help with that. The key is to provide information in workflow, so the people who are responsible for infraprovisioning can weigh the CO2 impact versus other factors such as cost and data residency before they deploy.”
Another step is to estimate your specific workload’s carbon footprint using open-source software like Cloud Carbon Footprint, a project sponsored by ThoughtWorks. Etsy has open-sourced a similar tool called Cloud Jewels that estimates energy consumption based on cloud usage information. This is helping them track progress toward their target of reducing their energy intensity by 25% by 2025.
Make social impact
Beyond reducing environmental impact, CTOs and technology leaders can have significant, direct and meaningful social impact.
Include societal benefits in the design of your products: As a CTO or technology founder, you can help ensure that societal benefits are prioritized in your product roadmaps. For example, if you’re a fintech CTO, you can add product features to expand access to credit in underserved populations. Startups like LoanWell are on a mission to increase access to capital for those typically left out of the financial system and make the loan origination process more efficient and equitable.
When thinking about product design, a product needs to be as useful and effective as it is sustainable. By thinking about sustainability and societal impact as a core element of product innovation, there is an opportunity to differentiate yourself in socially beneficial ways. For example, Lush has been a pioneer of package-free solutions, and launched Lush Lens — a virtual package app leveraging cameras on mobile phones and AI to overlay product information. The company hit 2 million scans in its efforts to tackle the beauty industry’s excessive use of (plastic) packaging.
Responsible AI practices should be ingrained in the culture to avoid social harms: Machine learning and artificial intelligence have become central to the advanced, personalized digital experiences everyone is accustomed to — from product and content recommendations to spam filtering, trend forecasting and other “smart” behaviors.
It is therefore critical to incorporate responsible AI practices, so benefits from AI and ML can be realized by your entire user base and that inadvertent harm can be avoided. Start by establishing clear principles for working with AI responsibly, and translate those principles into processes and procedures. Think about AI responsibility reviews the same way you think about code reviews, automated testing and UX design. As a technical leader or founder, you get to establish what the process is.
Impact governance
Promoting governance does not stop with the board and CEO; CTOs play an important role, too.
Create a diverse and inclusive technology team: Compared to individual decision-makers, diverse teams make better decisions 87% of the time. Additionally, Gartner research found that in a diverse workforce, performance improves by 12% and intent to stay by 20%.
It is important to reinforce and demonstrate why diversity, equity and inclusion is important within a technology team. One way you can do this is by using data to inform your DEI efforts. You can establish a voluntary internal program to collect demographics, including gender, race and ethnicity, and this data will provide a baseline for identifying diversity gaps and measuring improvements. Consider going further by baking these improvements into your employee performance process, such as objectives and key results (OKRs). Make everyone accountable from the start, not just HR.
These are just a few of the ways CTOs and technology leaders can contribute to ESG progress in their companies. The first step, however, is to recognize the many ways you as a technology leader can make an impact from day one.
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Platform as a service startup Porter aims to become go-to for deploying, managing cloud-based apps
By the time Porter co-founders Trevor Shim, Alexander Belanger and Justin Rhee decided to build a company around DevOps, the pair were well versed in doing remote development on Kubernetes. And like other users, they were consistently getting burnt by the technology.
They realized that for all of the benefits, the technology was there, but users were having to manage the complexity of hosting solutions as well as incurring the costs associated with a big DevOps team, Rhee told TechCrunch.
They decided to build a solution externally and went through Y Combinator’s Summer 2020 batch, where they found other startup companies trying to do the same.
Today, Porter announced $1.5 million in seed funding from Venrock, Translink Capital, Soma Capital and several angel investors. Its goal is to build a platform as a service that any team can use to manage applications in its own cloud, essentially delivering the full flexibility of Kubernetes through a Heroku-like experience.
Why Heroku? It is the hosting platform that developers are used to, and not just small companies, but also later-stage companies. When they want to move to Amazon Web Services, Google Cloud or DigitalOcean, Porter will be that bridge, Shim said.
However, while Heroku is still popular, the pair said companies are thinking the platform is getting outdated because it is standing still technology-wise. Each year, companies move on from the platform due to technical limitations and cost, Rhee said.
A big part of the bet Porter is taking is not charging users for hosting, and its cost is a pure SaaS product, he said. They aren’t looking to be resellers, so companies can use their own cloud, but Porter will provide the automation and users can pay with their AWS and GCP credits, which gives them flexibility.
A common pattern is a move into Kubernetes, but “the zinger we talk about” is if Heroku was built in 2021, it would have been built on Kubernetes, Shim added.
“So we see ourselves as a successor to Heroku,” he said.
To be that bridge, the company will use the new funding to increase its engineering bandwidth with the goal of “becoming the de facto standard for all startups.” Shim said.
Porter’s platform went live in February, and in six months became the sixth-fastest growing open-source platform download on GitHub, said Ethan Batraski, partner at Venrock. He met the company through YC and was “super impressed with Rhee’s and Shim’s vision.
“Heroku has 100,000 developers, but I believe it has stagnated,” Batraski added. “Porter already has 100 startups on its platform. The growth they’ve seen — four or five times — is what you want to see at this stage.”
His firm has long focused on data infrastructure and is seeing the stack get more complex, saying “at the same time, more developers are wanting to build out an app over a week, and scale it to millions of users, but that takes people resources. With Kubernetes it can turn everyone into an expert developer without them knowing.”
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“Developers, as you know, do not like to pay for things”
In the previous part of this EC-1, we looked at the technical details of CockroachDB and how it provides accurate data instantaneously anywhere on the planet. In this installment, we’re going to take a look at the product side of Cockroach, with a particular focus on developer relations.
As a business, Cockroach Labs has many things going for it. The company’s approach to distributed database technology is novel. And, as more companies operate on a global level, CockroachDB has the potential to gain some significant market share internationally. The company is seven years into a typical 10-year maturity model for databases, has raised $355 million, and holds a $2 billion market value. It’s considered a double unicorn. Few database companies can say this.
The company is now aggressively expanding into the database-as-a-service space, offering its own technology in a fully managed package, expanding the spectrum of clients who can take immediate advantage of its products.
But its growth depends upon securing the love of developers while also making its product easier to use for new customers. To that end, I’m going to analyze the company’s pivot to the cloud as well as its extensive outreach to developers as it works to set itself up for long-term, sustainable success.
Cockroach Labs looks to the cloud
These days, just about any company of consequence provides services via the internet, and a growing number of these services are powered by products and services from native cloud providers. Gartner forecasted in 2019 that cloud services are growing at an annual rate of 17.5%, and there’s no sign that the growth has abated at all.
Its founders’ history with Google back in the mid-2000s has meant that Cockroach Labs has always been aware of the impact of cloud services on the commercial web. Unsurprisingly, CockroachDB could run cloud native right from its first release, given that its architecture presupposes the cloud in its operation — as we saw in part 2 of this EC-1.
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Scaling CockroachDB in the red ocean of relational databases
Most database startups avoid building relational databases, since that market is dominated by a few goliaths. Oracle, MySQL and Microsoft SQL Server have embedded themselves into the technical fabric of large- and medium-size companies going back decades. These established companies have a lot of market share and a lot of money to quash the competition.
So rather than trying to compete in the relational database market, over the past decade, many database startups focused on alternative architectures such as document-centric databases (like MongoDB), key-value stores (like Redis) and graph databases (like Neo4J). But Cockroach Labs went against conventional wisdom with CockroachDB: It intentionally competed in the relational database market with its relational database product.
While it did face an uphill battle to penetrate the market, Cockroach Labs saw a surprising benefit: It didn’t have to invent a market. All it needed to do was grab a share of a market that also happened to be growing rapidly.
Cockroach Labs has a bright future, compelling technology, a lot of money in the bank and has an experienced, technically astute executive team.
In previous parts of this EC-1, I looked at the origins of CockroachDB, presented an in-depth technical description of its product as well as an analysis of the company’s developer relations and cloud service, CockroachCloud. In this final installment, we’ll look at the future of the company, the competitive landscape within the relational database market, its ability to retain talent as it looks toward a potential IPO or acquisition, and the risks it faces.
CockroachDB’s success is not guaranteed. It has to overcome significant hurdles to secure a profitable place for itself among a set of well-established database technologies that are owned by companies with very deep pockets.
It’s not impossible, though. We’ll first look at MongoDB as an example of how a company can break through the barriers for database startups competing with incumbents.
When life gives you Mongos, make MongoDB
Dev Ittycheria, MongoDB CEO, rings the Nasdaq Stock Market Opening Bell. Image Credits: Nasdaq, Inc
MongoDB is a good example of the risks that come with trying to invent a new database market. The company started out as a purely document-centric database at a time when that approach was the exception rather than the rule.
Web developers like document-centric databases because they address a number of common use cases in their work. For example, a document-centric database works well for storing comments to a blog post or a customer’s entire order history and profile.
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To guard against data loss and misuse, the cybersecurity conversation must evolve
Data breaches have become a part of life. They impact hospitals, universities, government agencies, charitable organizations and commercial enterprises. In healthcare alone, 2020 saw 640 breaches, exposing 30 million personal records, a 25% increase over 2019 that equates to roughly two breaches per day, according to the U.S. Department of Health and Human Services. On a global basis, 2.3 billion records were breached in February 2021.
It’s painfully clear that existing data loss prevention (DLP) tools are struggling to deal with the data sprawl, ubiquitous cloud services, device diversity and human behaviors that constitute our virtual world.
Conventional DLP solutions are built on a castle-and-moat framework in which data centers and cloud platforms are the castles holding sensitive data. They’re surrounded by networks, endpoint devices and human beings that serve as moats, defining the defensive security perimeters of every organization. Conventional solutions assign sensitivity ratings to individual data assets and monitor these perimeters to detect the unauthorized movement of sensitive data.
It’s painfully clear that existing data loss prevention (DLP) tools are struggling to deal with the data sprawl, ubiquitous cloud services, device diversity and human behaviors that constitute our virtual world.
Unfortunately, these historical security boundaries are becoming increasingly ambiguous and somewhat irrelevant as bots, APIs and collaboration tools become the primary conduits for sharing and exchanging data.
In reality, data loss is only half the problem confronting a modern enterprise. Corporations are routinely exposed to financial, legal and ethical risks associated with the mishandling or misuse of sensitive information within the corporation itself. The risks associated with the misuse of personally identifiable information have been widely publicized.
However, risks of similar or greater severity can result from the mishandling of intellectual property, material nonpublic information, or any type of data that was obtained through a formal agreement that placed explicit restrictions on its use.
Conventional DLP frameworks are incapable of addressing these challenges. We believe they need to be replaced by a new data misuse protection (DMP) framework that safeguards data from unauthorized or inappropriate use within a corporate environment in addition to its outright theft or inadvertent loss. DMP solutions will provide data assets with more sophisticated self-defense mechanisms instead of relying on the surveillance of traditional security perimeters.
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