--- title: Blog | QuasarDB | performance description: performance | --- [![Quasar](https://blog.quasar.ai/hubfs/logo-1.svg?t=1538728673587)](https://quasardb.net/) - [What is Quasar?](https://quasar.ai/what-is-quasar/) - [Deployment & Pricing](https://quasar.ai/deployment-pricing/) - [Blog & News](https://quasar.ai/blog-news/) - Company - [About us](https://quasar.ai/about/) - [Contact us](https://quasar.ai/contact/) - [Support & Services](https://quasar.ai/support-services/) - [Documentation](https://doc.quasardb.net/master/) # Blog [![](https://blog.quasar.ai/hubfs/rocket.jpg)](https://blog.quasar.ai/achieving-maximum-write-speed-with-quasardb) ## [Achieving maximum write speed with QuasarDB](https://blog.quasar.ai/achieving-maximum-write-speed-with-quasardb) Posted by [Edouard](https://blog.quasar.ai/author/edouard) on 22 Oct 2020 - [Tweet](https://twitter.com/share) [QuasarDB](https://www.quasardb.net)is the fastest timeseries database in the world by ingestion speed (and probably by querying speed, but it's [very hard to establish objectively](http://oldblog.antirez.com/post/redis-memcached-benchmark.html)), 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 More](https://blog.quasar.ai/achieving-maximum-write-speed-with-quasardb) Tags: [time series](https://blog.quasar.ai/tag/time-series), [performance](https://blog.quasar.ai/tag/performance), [tuning](https://blog.quasar.ai/tag/tuning) [![Containers!](https://blog.quasar.ai/hubfs/chuttersnap-9cCeS9Sg6nU-unsplash.jpg)](https://blog.quasar.ai/using-c-containers-efficiently) ## [Using C++ containers efficiently](https://blog.quasar.ai/using-c-containers-efficiently) Posted by [Edouard](https://blog.quasar.ai/author/edouard) on 23 Mar 2020 - [Tweet](https://twitter.com/share) > A new version of this post is available [here](https://quasar.ai/2026/04/07/using-c-containers-efficiently-2/)! Hello, dear reader! I think you have many assumptions about the performance and usage of data structures in C++. This blog post is me, destroying your world. [Read More](https://blog.quasar.ai/using-c-containers-efficiently) Tags: [c++](https://blog.quasar.ai/tag/c), [performance](https://blog.quasar.ai/tag/performance), [containers](https://blog.quasar.ai/tag/containers) [![chuttersnap-l75UcYjdiC0-unsplash-1](https://blog.quasar.ai/hubfs/chuttersnap-l75UcYjdiC0-unsplash-1.jpg)](https://blog.quasar.ai/ingesting-10-billion-rows-of-timeseries-data-in-95-seconds) ## [Ingesting 10 billion rows of timeseries data in 95 seconds](https://blog.quasar.ai/ingesting-10-billion-rows-of-timeseries-data-in-95-seconds) Posted by [Edouard](https://blog.quasar.ai/author/edouard) on 12 Dec 2019 - [Tweet](https://twitter.com/share) ## Timeseries data = ingestion challenges 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 More](https://blog.quasar.ai/ingesting-10-billion-rows-of-timeseries-data-in-95-seconds) Tags: [quasardb](https://blog.quasar.ai/tag/quasardb), [time series](https://blog.quasar.ai/tag/time-series), [performance](https://blog.quasar.ai/tag/performance) [![mushon-tamir-1417810-unsplash](https://blog.quasar.ai/hubfs/mushon-tamir-1417810-unsplash.jpg)](https://blog.quasar.ai/introducing-delta4c-a-high-speed-adaptive-lossless-compressor-for-timeseries) ## [Introducing Delta4C: a high speed, adaptive, lossless compressor for timeseries](https://blog.quasar.ai/introducing-delta4c-a-high-speed-adaptive-lossless-compressor-for-timeseries) Posted by [Edouard](https://blog.quasar.ai/author/edouard) on 08 May 2019 - [Tweet](https://twitter.com/share) > This post is part of a series about the challenges behind database performance and how to accurately assess it. ## Why compression matters so much for timeseries data 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 More](https://blog.quasar.ai/introducing-delta4c-a-high-speed-adaptive-lossless-compressor-for-timeseries) Tags: [quasardb](https://blog.quasar.ai/tag/quasardb), [time series](https://blog.quasar.ai/tag/time-series), [performance](https://blog.quasar.ai/tag/performance), [compression](https://blog.quasar.ai/tag/compression), [managed](https://blog.quasar.ai/tag/managed) [![daniel-olah-631653-unsplash](https://blog.quasar.ai/hubfs/daniel-olah-631653-unsplash.jpg)](https://blog.quasar.ai/should-you-care-about-performance) ## [Should you care about performance?](https://blog.quasar.ai/should-you-care-about-performance) Posted by [Edouard](https://blog.quasar.ai/author/edouard) on 29 Apr 2019 - [Tweet](https://twitter.com/share) > This post is part of a series about the challenges behind database performance and how to accurately assess it. ## You don’t care about performance When we started selling [QuasarDB](https://www.quasardb.net/), 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 More](https://blog.quasar.ai/should-you-care-about-performance) Tags: [quasardb](https://blog.quasar.ai/tag/quasardb), [software](https://blog.quasar.ai/tag/software), [time series](https://blog.quasar.ai/tag/time-series), [performance](https://blog.quasar.ai/tag/performance) [![chris-liverani-552652-unsplash](https://blog.quasar.ai/hubfs/chris-liverani-552652-unsplash.jpg)](https://blog.quasar.ai/benchmarking-timeseries-ingress) ## [Benchmarking timeseries ingress](https://blog.quasar.ai/benchmarking-timeseries-ingress) Posted by [Edouard](https://blog.quasar.ai/author/edouard) on 16 Apr 2019 - [Tweet](https://twitter.com/share) > This post is part of a series about the challenges behind database performance and how to accurately assess it. ## Purpose of an ingress benchmark 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 More](https://blog.quasar.ai/benchmarking-timeseries-ingress) Tags: [quasardb](https://blog.quasar.ai/tag/quasardb), [time series](https://blog.quasar.ai/tag/time-series), [performance](https://blog.quasar.ai/tag/performance) [![us_navy](https://blog.quasar.ai/hubfs/us_navy.jpg)](https://blog.quasar.ai/database-performance) ## [Database performance](https://blog.quasar.ai/database-performance) Posted by [Edouard](https://blog.quasar.ai/author/edouard) on 12 Mar 2019 - [Tweet](https://twitter.com/share) > This port is the first in a series about the challenges behind database performance and how to accurately assess it. In future posts, we will dig more into the specifics of benchmarks and design choices. ## The Penrose stairs of performance If you are following database innovation you can see that nearly every database vendor out there has at least one benchmark putting them in the first place. With every vendor selling the fastest database there is, you end up in a [Penrose stairs](https://en.wikipedia.org/wiki/Penrose_stairs) situation where everyone is faster than everyone. [Read More](https://blog.quasar.ai/database-performance) Tags: [memory](https://blog.quasar.ai/tag/memory), [optimization](https://blog.quasar.ai/tag/optimization), [process](https://blog.quasar.ai/tag/process), [software](https://blog.quasar.ai/tag/software), [performance](https://blog.quasar.ai/tag/performance) [All posts](https://blog.quasar.ai/all) - [![QuasarDB](https://blog.quasar.ai/hubfs/logo-1.svg?t=1539155681377)](https://quasardb.net/) - [What is Quasar?](https://quasar.ai/what-is-quasar/) - [Deployment & Pricing](https://quasar.ai/deployment-pricing/) - [Blog & News](https://quasar.ai/blog-news/) - [Support & Services](https://quasar.ai/support-services/) - [Documentation](https://doc.quasardb.net/master/) - [About Us](https://quasar.ai/about/) - [Contact us](https://quasar.ai/contact/) - - - - © Copyright 2026 QuasarDB. All rights reserved - [Legal information](https://quasar.ai/legal-information/) - [Privacy policy](https://quasar.ai/privacy-policy/)