Company
DataSpren the analytical data platform
Analytical data workloads are probably the most interesting ones we have. It can be all or nothing. There were situations where we expected "weird" randomness but instead the data followed a normal distribution that immediately becomes actionable. And of course there is also the part where nothing made sense and we spent days transforming and fixing the data to even come to this point. Nonetheless, knowing that some part of your business follows a normal distribution makes it actionable and predictable (usage, orders, sales, ... you name it).
We used the tools available in our domain, surely not all of them, but the ones we used usually made us question all the time: why didn't they do this, what are these companies doing all day long? They are worth over one billion dollars. Do they even use their own tooling?
Well, some complaints might be unreasonable but we think there is some truth to it. That's our bet. These data integration and analytical platform providers either miss important functionality or are overly complex instead of having sensible defaults that work for more than 95% of the users. We don't want to replace these platforms but rather create an alternative that is more aligned with the analytical data needs of most businesses (usually not in the petabyte territory of queried data).
At the end of the day:
- Engineers want to: Move, Transform, Visualize, and Govern data easily.
- Business people want to: Gain valuable insights that are actionable.
We can build that!
Not a day goes by where we don't think about our beloved PostgreSQL (even our friends make fun of it). We just love data and the technology that drives it. We already figured out an architecture that allows us to build what we want. Removing lots of complexity.
We are going to build a platform that lets our users:
- move data reliably with time-travel, replay, fanout, debugging tools, ...
- analyze their data in our analytical database with features like time-travel, ACID, schema evolution, ...
- build actionable dashboards
- connect with existing tooling via PostgreSQL Wire Protocol
We are aware that these are a lot of moving pieces and we don't intend to build them all at once. To mitigate this, we leverage existing software to the full extent. One of our features is going to be a PostgreSQL interface to our database. Meaning that basically all existing tooling will be compatible with our platform right from the start.
We are building this company in Europe, and your data stays here too. We are our own users and even DataSpren uses DataSpren.
We are looking for:
- investors who also offer advice
- talented employees in the future who are as excited as we are
Give us the space and support and we will make this happen!
select * from investors where quality >= 'great' limit 1;Best,
Alexander Netz
Founder of DataSpren