How we achieved write speeds of 1.4 million rows per second

This page summarizes the projects mentioned and recommended in the original post on dev.to

InfluxDB - Power Real-Time Data Analytics at Scale
Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
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SaaSHub helps you find the best software and product alternatives
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  • tsbs

    Time Series Benchmark Suite, a tool for comparing and evaluating databases for time series data

  • We saw the Time Series Benchmark Suite (TSBS) regularly coming up in discussions about database performance and decided we should provide the ability to benchmark QuestDB along with other systems. The TSBS is a collection of Go programs to generate datasets and then benchmark read and write performance. The suite is extensible so that different use cases and query types can be included and compared across systems.

  • tsbs

    Time Series Benchmark Suite, a tool for comparing and evaluating databases for time series data (by questdb)

  • We have opened a pull request (Questdb benchmark support) in TimescaleDB's TSBS GitHub repository, to add the ability to run the benchmark against QuestDB. In the meantime, users may clone our fork of the benchmark and run the suite to see the results for themselves.

  • InfluxDB

    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

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  • QuestDB

    An open source time-series database for fast ingest and SQL queries

  • Beyond making QuestDB easy to use, we want to make it easy to audit, review, and make code or general project contributions. All of QuestDB's source code is available on GitHub under the Apache 2.0 license and we welcome all sorts of contributions from GitHub issues to pull requests.

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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