Tiger Data

“We chose Tiger Data because it was cost-efficient, easy for analysts to use, and perfectly suited for our time-based queries and real-time operations.”

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

“After implementing Tiger Data, our AWS cloud costs went down about 35 % because it is cheaper to run than the AWS OpenSearch we used before. In addition, the query performance improved dramatically. A majority of queries take under 100 ms to complete.”

“Tiger Data allows us to scale our services without introducing completely new technologies to the mix. As PostgreSQL users, Tiger Data adds very little maintenance overhead compared to learning and maintaining a brand new database system.”

“We have scaled from 200 sensors to 2000 in just a few months without encountering issues, thanks to Tiger Data.”

“Moving from SQL Server to Tiger Data allowed us to scale efficiently, manage our growing data needs, and maintain optimal performance without additional overhead.”

“I’m using Tiger Data because it’s the same as PostgreSQL but magically faster.”

“Compression ratio is jaw-droppingly high. When compressing a single hypertable in Timescale, we receive 77 GB of compressed data from 1396 GB of uncompressed data. That is 94% compression ratio.”

“By using Tiger Data, we were able to turn around a real-time dashboard for our API, handling up to 25 million requests a day with exceptional query performance.”

“In order for predictive maintenance and collision avoidance to provide contextualized and accurate results, we must gather and process 100M+ data points per machine. We use hypertables to handle these large datasets. We've saved lives using Tiger Data.”

“We leverage TimescaleDB’s continuous aggregates, which let us efficiently process large volumes of time-series data while maintaining performance. This has been essential for providing real-time insights to our customers.”

“Tiger Cloud has proven to be a key enabler of Octave’s data-driven Battery Cloud technology allowing us to collect and analyze millions of data points daily while dramatically saving disk space and delivering lightning-fast queries.”

“By using TimescaleDB, we have significantly improved our data management efficiency, achieving query times of 25 milliseconds, reducing our database size from 200 GB to 55 GB with compression, and maintaining high insertion rates.”

“The greatest Tiger Data feature for us is the ability to automatically downsample data thanks to continuous aggregates.”

“The support and active community around TimescaleDB have been invaluable in helping us optimize our database performance and troubleshoot issues quickly.”

“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 needed to time bucket properly depending on the range that our customers are looking at… Tiger Data did that for us extremely easily.”

“The compression and the downsampling has been really amazing...the documentation [that Tiger Data has] is really great.”

“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”

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

“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.”

“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.”

“Cost wise, it's very good for us. The Tiger Cloud solution is very cost effective. We've been getting a very decent benefit in performance. We just quantified what our cost per sensor is out there, and it's good and we're happy with the results.”

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