Desktop first made me think of Superintendant[0] which I’ve enjoyed using 0: https://superintendent.app/. - Source: Hacker News / 9 months ago

Project 3: Electron with typescripts. 15 paying users. Source: 11 months ago

That is exactly https://superintendent.app (disclaimer: I'm the creator). - Source: Hacker News / about 1 year ago

Well, shameless plug. https://superintendent.app (paid with free trial) enables you to load a bunch of CSVs and write SQL on those CSV files. It's a much faster to work with if you know SQL well. It can also handle millions of rows easily (e.g. Loading 1GB CSV file takes 10s on Macbook Pro). I initially built it because I had to identify the mismatched transactions between 2 giant CSVs using "full outer join". - Source: Hacker News / over 1 year ago

I'd recommend https://superintendent.app which enables you to load CSVs and write SQL immediately. It can load GBS of CSV in <10 seconds. Disclaimer: I'm the creator, and it's not a free app; it's $40/year with 2 weeks of free trial. The app is completely offline. Source: over 1 year ago

To fully leverage the data is the new oil concept, companies require a special database designed to manage vast amounts of data instantly. This need has led to different database forms, including NoSQL databases, vector databases, time-series databases, graph databases, in-memory databases, and in-memory data grids. Recent years have seen the rise of cloud-based streaming databases such as RisingWave, Materialize,... - Source: dev.to / 3 months ago

Some recent solutions to this problem include Differential Dataflow and Materialize. It would be neat if postgres adopted something similar for live-updating materialized views. https://github.com/timelydataflow/differential-dataflow. - Source: Hacker News / 7 months ago

Materialize | Full-Time | NYC Office or Remote | https://materialize.com Materialize is an Operational Data Warehouse: A cloud data warehouse with streaming internals, built for work that needs action on what’s happening right now. Keep the familiar SQL, keep the proven architecture of cloud warehouses but swap the decades-old batch computation model for an efficient incremental engine to get complex queries that... - Source: Hacker News / 8 months ago

Materialize | EM (Compute), Senior PM | New York, New York | https://materialize.com/ You shouldn't have to throw away the database to build with fast-changing data. Keep the familiar SQL, keep the proven architecture of cloud warehouses, but swap the decades-old batch computation model for an efficient incremental engine to get complex queries that are always up-to-date. That is Materialize, the only true SQL... - Source: Hacker News / 12 months ago

Materialize | NY, NY | https://materialize.com/ The Cloud Database for Fast-Changing Data. We put a streaming engine in a database, so your team can build real-time data products without the cost, complexity, and development time of stream processing. Cloud team openings: https://grnh.se/0ad6ab6b4us Senior PM openings: https://grnh.se/415c267f4us. - Source: Hacker News / about 1 year ago