Top Databases Startups in 2025

Postgres for time-series data High-performance PostgreSQL in the cloud. We've extended PostgreSQL for time-series data and analytics, so you can build faster, scale further, and stay under budget. Our team includes top researchers and industry veterans with experience building scalable systems at a variety of large and small companies. We are backed by top-tier investors with a track record of success in the industry. The only official Careers page for Timescale is timescale.com/careers and the only emails from us originate from our timescale.com domain. Our jobs are hosted on the Greenhouse platform, and our job listings are located under the “timescale” folder. Like this one, for example, lnkd.in/dxYmA6Sc

MongoDB is the leading modern, general purpose database platform, designed to unleash the power of software and data for developers and the applications they build. Headquartered in New York, MongoDB has more than 15,000 customers over 100 countries. The MongoDB database platform has been downloaded over 60 million times and there have been more than one million MongoDB University registrations.

SingleStore is one platform for all data, built so you can engage with insight in every moment. Trusted by industry leaders, SingleStore enables enterprises to adapt to change as it happens, embrace diverse data with ease, and accelerate the pace of innovation. SingleStore is venture-backed and headquartered in San Francisco with offices in Portland, Seattle, Boston, London, Lisbon, and Kyiv. Defining the future starts with The Database of Now™.

We started Bubble to provide a no-code platform that works for everyone, from first-time app builders to experienced software engineers. To see how our visual programming language has evolved since we launched in 2012, check out our recently updated No-Code Manifesto on our company site! Today, we support thousands of businesses and millions of users as they build their dreams, one application at a time. With our $100M Series A funding, we’re excited to keep building momentum as the leader of the no-code movement.

Through its Native Parallel Graph™ technology, our TigerGraph™ graph platform represents what’s next in the graph database evolution: a complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-time. We fulfill the true promise and benefits of the graph platform by tackling the toughest data challenges in real time, no matter how large or complex the dataset. TigerGraph supports applications such as IoT, AI and machine learning to make sense of ever-changing big data. Our proven technology is used by customers including China Mobile, Intuit, Wish, and Zillow.

MindsDB is a fast-growing open-source infrastructure company that enables developers to quickly integrate machine learning into applications and connect any data source with any ML framework easily, all in one place. We are the largest & fastest growing open source Applied Machine Learning project in the world with over 14k Github stars. MindsDB is a fast-growing open-source company that enables developers to quickly integrate Artificial Intelligence Logic into applications and ship AI-powered solutions from prototyping & experimentation to production in a fast & scalable way. MindsDB was founded in 2017 by Adam Carrigan (COO) and Jorge Torres (CEO) and based in San Francisco, California, is backed with over $50M in total funding from Mayfield, Benchmark, YCombinator, OpenOcean, Walden Catalyst Ventures, MMC, Speedinvest, TQ Ventures and the University of California Berkeley SkyDeck fund. MindsDB is also recognized by Forbes as one of America's most promising AI companies (2021) and by Gartner as a Cool Vendor for Data and AI (2022).

CB Insights fuses machine learning, algorithms, data and visualizations together to help large enterprises ask, answer and articulate compelling answers to difficult questions - about growth, about competition and about the markets and technologies of the future. Our machine learning technology mines vast numbers of unstructured documents such as patents, earnings calls, news articles, company websites, regulatory filings, social media and more to derive insights into the future of the global economy.

As a business intelligence services firm, Lovelytics uses Tableau and data as a means of providing clients with a better understanding of their business data to make smarter decisions. Lovelytics provides top data architecture and Tableau talent, which bridges the gap between the best data architecture and Tableau talent with business users who need help better understanding their data. Our goal is to make dashboards that help translate the complicated material into the simple. Staying true to our name, Lovelytics, we shorten complex data into understandable mash-ups that simplify information. With data architecture and modeling being the backbone of any analytics project, we’re constantly driven to put your data in the simplest form that exists. We believe that is vital in today’s world, where big data can feel often feel ominous and confusing.

Source is the developer data management infrastructure for the open web. With an expected 75% of the data generated by humanity to be at the edge, developers at organizations of all sizes face complex challenges in managing distributed data. Our database, DefraDB, along with our Trust Protocol, SourceHub, provides developers with the tools to create and deploy software for edge environments. With native cryptographic primitives for data security, granular data governance, and interoperability and portability across the edge. We address the crucial aspects of edge data management, empowering developers to introduce the next wave of local-first software and edge AI for smart cities, industry 4.0, automotive, health care and beyond.

Convex's mission is to fundamentally change how software is built on the Internet and who gets to build it. We aim to empower teams, large or small, to build fast, reliable, and dependable dynamic systems at scale. Developers shouldn't have to form an opinion on Alpine Linux vs. Ubuntu or have the slightest idea how to configure Kafka. We believe with the right abstractions, it's possible to develop sophisticated apps entirely on your laptop, deploy them seamlessly on managed backends, and head out to dinner—confident your application will run identically in production at scale. No DevOps. This is the fulfillment of the exciting new serverless movement, and we're going to make it happen. Our team includes Principal Engineers and Engineering Directors who have led exabyte-scale storage projects, built custom global databases with trillions of records, and shipped desktop and mobile software onto billions of devices. All of us have deep experience with managing critical shared user state in large, successful services. Now, together at Convex, we've reflected on those collective lessons, and we have asked, listened, and learned about the needs of modern web and mobile teams. We've started to create something we believe is an entirely new and substantially better platform for teams of the future. We're eager to create the solution we wished we'd had for all those tricky frontend and backend problems we've wrestled to the ground over the years. We're motivated by the prospect of a new wave of teams using Convex and excited to empower them to solve challenges that only recently were quite daunting.