QuasarDB is the fastest timeseries database in the world by ingestion speed (and probably by querying speed, but it's very hard to establish objectively), by a significant margin. In the 3.9 branch, we furthered our advance further, and we are working to deliver another major performance boost in the following releases.
Read MoreTags: time series, performance, tuning
If there’s one thing that’s hard when managing timeseries data is just the sheer amount of it. Timeseries data has volume built-in because it’s cumulative. You don’t want a single picture: you want the whole movie!
Read MoreTags: quasardb, time series, performance
This post is part of a series about the challenges behind database performance and how to accurately assess it.
Whatever database engine you are using, efficient disk storage is always welcomed. When your 10 GiB become 100 GiB once in the database, that’s never a nice thing!
Read MoreTags: quasardb, time series, performance, compression, managed
This post is part of a series about the challenges behind database performance and how to accurately assess it.
When we started selling QuasarDB, we focused on its performance advantages and touted how great they were. The logic behind that was obvious: we were very strong in this area; thus we should bring the battle to where we are strong!
Read MoreTags: quasardb, software, time series, performance
This post is part of a series about the challenges behind database performance and how to accurately assess it.
When evaluating a timeseries database management system (later referred as TSDBMS or TSDB), one important dimension is the ingress speed (a.k.a. insertion or ingestion), that is, how fast the database can store new data points.
Read MoreTags: quasardb, time series, performance
At first an interrogation - At the beginning, there was a question. Why are we waiting for machines to give us an answer? Why aren't we able to analyze everything in real time?
Read MoreTags: analytics, big data, quasardb, time series, Uncategorized