Introducing Delta4C: a high speed, adaptive, lossless compressor for timeseries

Posted by Edouard on 08 May 2019

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!

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Tags: quasardb, time series, performance, compression, managed

Should you care about performance?

Posted by Edouard on 29 Apr 2019
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, 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!

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Tags: quasardb, software, time series, performance

Benchmarking timeseries ingress

Posted by Edouard on 16 Apr 2019
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.

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Tags: quasardb, time series, performance

Database performance

Posted by Edouard on 12 Mar 2019

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 situation where everyone is faster than everyone.

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Tags: memory, optimization, process, software, performance