Improving our release process

Posted by Edouard on 27 May 2020

You might have noticed that we didn't release QuasarDB 3.9.0 on May 4th, 2020, as our previous release schedule would have commanded.

Since the beginning of the year, QuasarDB's user base grew faster than we anticipated, creating many pain points in our release process, especially the QA phase.

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Tags: process, quasardb, release

Timeseries: what are ASOF joins?

Posted by Edouard on 30 Jan 2020

In QuasarDB 3.5 we introduced ASOF joins. If you're new to timeseries databases, you may be confused about what ASOF joins are, and how useful they are.

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Tags: quasardb, capital markets, asof

Ingesting 10 billion rows of timeseries data in 95 seconds

Posted by Edouard on 12 Dec 2019

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!

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Tags: quasardb, time series, performance

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

Secure by default

Posted by user on 18 Jul 2017

The security debacle. As a database user or administrator, you may have learnt that MongoDB recently took a very serious hit. A hit of over 28,000 hacked installs.

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Tags: Security, quasardb, Uncategorized

Time series in quasardb

Posted by user on 10 Apr 2017

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?

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Tags: analytics, big data, quasardb, time series, Uncategorized

Forward and backward compatibility in quasardb

Posted by user on 04 Jul 2016

I think the number one request from all our existing customers is to have as much as backward compatibility as possible with quasardb.

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Tags: compatibility, quasardb, Uncategorized