Tiger Data

“Continuous aggregates are what well and truly sold me on Tiger Data. We went from 6.4 s to execute a query to 30 ms. Yes, milliseconds.”

“Tiger Data has been our go-to from the start, seamlessly handling our high insert rates and complex analytics, allowing us to focus on improving our product without worrying about database issues.”

“With TimescaleDB, we transitioned from a 64-core, 512GB RAM machine to a 4-core, 16GB RAM setup, and we’re still getting faster performance.”

“Since we started using Tiger Cloud, I've always been really pleased with support and reliability of the service. It's always been solid.”

“Other teams have been able to quickly make use of Tiger Cloud due to the familiar SQL syntax. Just about any team who needs to get information about the various sensors have been able to do so on their own.”

“Timescale not only solved our data problems but made our old solutions look cumbersome. It's impressive how much easier our workflow has become.”

“Tiger Data unlocked use cases that weren’t possible before. We’re saving customers and ourselves tens of thousands a month.”

“Tiger Data is perfect for applications that deal with high data loads and need efficient ways to ingest, query, and manage time-based info. With Tiger Data, you can tackle complex engineering challenges related to time series data without the headache”

“With Tiger Data, we can perform correlations, aggregate group-bys on URLs, join time-series with metadata, and use full SQL to work across datasets. Now we get better query performance, run complex queries, and can focus on our goal: helping customers.”

“Timescale has been greatly beneficial to us and accelerated our development process. For us, the greatest advantage of using Timescale Cloud is that it enables us to do spatial-temporal queries with ease.”

“Tiger Cloud solution is highly user-friendly, easy to maintain, and can upscale accordingly with the user’s demand.”

“We went from a 10-second load for a large customer to a 500ms load, thanks to Tiger Data's materialized views.”

“The combination of a performant, scalable repository for our time-series data, the core SQL features we know and trust, and the built-in time-series functionality. This is where we’ve gotten the most value out of Tiger Data.”

“The data retention policies are very handy... if you don’t do retention, the data just grows, and we’re handling 50,000 vehicles sending GPS locations every 10 seconds.”

““Now that we are with Tiger Data, we connected more than 20 different systems to our database and the performance is very good.””

“We have a compression ratio of 93%. That is incredible, and we’re very happy.”

“We rely on Tiger Data for everything now. It’s super efficient, and we’ve reduced query load times from 30 seconds down to almost nothing.”

“The reliability of Tiger Data manifests in the ease of horizontal scaling across multiple servers, which we are very interested in.”

“We shaved off months from our minimum viable product development time by choosing Timescale. The advanced time-series features enable us to produce top-notch market data feeds.”

“Tiger Data fits so well with what we do... It integrates so seamlessly into PostgreSQL.”

“With Tiger Cloud, we haven't experienced any issues since migrating, which has drastically improved our reliability and allowed us to avoid costly downtime.”

“Thanks to Tiger Data, we drastically shortened the time to process data and accelerated our progress in delivering quality results for the projects.”

“Tiger Data by itself is what allows for the hypertables, the query performance, and the compression. That's where it's something like $12,000 monthly storage savings.”

“We don't have a lot of skills around large data management,”

“It's actually helped us find bottlenecks and problems in our application by switching to Tiger Cloud. One of our processes is doing 8,000 queries to insert one report. If I send one query that inserts all of that data at once, it's going to massively speed things up.”