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Introducing Exasol Personal

Alexander Stigsen
· · 4 mins read

Democratizing Big Data Analytics

The field of analytics has been blessed with good tools recently. If you are working with a set of data that fits on a single machine (as most datasets easily do), then you have a plethora of great tools available out there. Where the challenges start to arise is when you are working with datasets so large that they will never fit on a single machine.

Why does this matter? As mentioned earlier, the large majority of datasets happily fits on a single machine. So why not just stick to that? Do you really need a cluster?

The reality is that many of the most interesting datasets out there are huge and constantly growing bigger. If you are working in science or research, or in any moderately large company, you are likely to have access to vast data lakes with terabytes if not petabytes of interesting data, and working with these datasets is often out-of-reach for the average analyst or data scientist, simply because of the cost and complexity of the tools capable of dealing with that level of scale.

Exasol is one of those tools that companies often reach for when dealing with complex analytics and data processing at truly high scale. As a truly enterprise grade MPP (Massively Parallel Processing) analytics engine, it has long been one of the favorite battle-tested tools for big companies to solve their most gnarly data processing tasks at unprecedented performance. But as with most high-end enterprise tools, it has never really been available to be used by regular folks outside of these massive enterprises.

We are now changing that!

We are launching Exasol Personal, free for personal use at any scale, all enterprise features included. No more limits! With Exasol Personal you can spin up a distributed cluster on your own hardware in minutes, capable of dealing with any amount of data.

Try Exasol Personal for Free

Run real workloads at full Exasol performance.

Whether you are a citizen scientist exploring vast amounts of public data, a researcher at a university, or just a regular analyst that wants to get your work done without all the red tape, Exasol Personal allows you to quickly spin up a cluster of any size to get your work done, instantly and with minimal fuzz.

Exasol is unique in giving you the ability to seamlessly intermix SQL with native code in almost any language (Python, R, Java and Lua supported out-of-the-box) and distribute it across any number of nodes for truly massive parallel computation, allowing you to handle even the most complex data processing and ML workloads. With Virtual Schemas you can federate queries over any number of external data sources, consolidating all your data into a single unified view, and with our AI Lab, MCP Server and model handling capabilities, you can leverage AI at scale to solve your most complicated problems.

With Exasol Personal there are no limits on your personal usage. No memory limits. No storage limits. No compute limits. It is free at any scale. You can use it at home, at your studies or at work. All enterprise features included. The only restriction is that it is limited to a single user, you!

We are delighted to be able to take something that used to be restricted to only the biggest enterprises of the world and finally making it available free of charge to everybody, doing our part to start democratizing the world of analytics.

We are a launching with the initial ability to spin up clusters on your own AWS account, and the next steps will be to allow you to spin up clusters everywhere, on any cloud, your own on-prem hardware or even locally on your own laptop. So join us in this adventure, try out the new release and join the community.

Product
Alexander Stigsen
Alexander Stigsen

Alexander Stigsen is the Chief Product Officer at Exasol, where he leads product strategy and innovation for one of the world’s fastest analytics engines. With a deep-rooted background in engineering and a career spanning more than two decades, Alexander has been at the forefront of database technology and product development. He is best known as the founder and former CEO of Realm, a groundbreaking mobile database platform that quickly became one of the most widely adopted solutions for mobile app developers worldwide. Under his leadership, Realm was used in applications on over a billion devices and was ultimately acquired by MongoDB, further cementing his influence in the data infrastructure space. Alexander brings a unique perspective that bridges the worlds of engineering, product leadership, and entrepreneurship. At conferences, he shares insights on building scalable data systems, innovating in developer tools, and navigating the startup-to-acquisition journey—all with a focus on delivering products that developers love.