dbt-clickhouse
The Clickhouse plugin for dbt (data build tool) (by ClickHouse)
tsbs
Time Series Benchmark Suite, a tool for comparing and evaluating databases for time series data (by timescale)
dbt-clickhouse | tsbs | |
---|---|---|
1 | 76 | |
213 | 1,216 | |
3.8% | 1.2% | |
8.5 | 1.6 | |
4 days ago | 5 days ago | |
Python | Go | |
Apache License 2.0 | MIT License |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
dbt-clickhouse
Posts with mentions or reviews of dbt-clickhouse.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-10-21.
-
What is ClickHouse how it compares to PostgreSQL and TimescaleDB for time series
Is your comment on ClickHouse and DBT based on using the DBT ClickHouse plugin? [0] If so I would be very interested in understanding what you or others see as deficiencies.
[0] https://github.com/silentsokolov/dbt-clickhouse
tsbs
Posts with mentions or reviews of tsbs.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-08-17.
- tsbs: NEW Data - star count:1149.0
-
Fuzz Testing Is the Best Thing to Happen to Our Application Tests
1. correctness: from small units tests to relatively complex integrations tests. they typically populate a test database and query it via various interfaces, such as REST or the Postgres protocol. we use Azure Pipelines to execute them - testing in MacoOS, Linux (both Intel and ARM) and Windows.
2. performance: we tend to use the TSBS project for most of our performance testing and profiling. fun fact: we actually had to patch it as the vanilla TSBS was a bottleneck in some tests. Sadly, the PR with the improvements is still not merged: https://github.com/timescale/tsbs/pull/186
- tsbs: NEW Data - star count:1058.0
-
MongoDB Time Series Benchmark and Review
As usual, we use the industry standard Time Series Benchmark Suite (TSBS) as the benchmark tool. Unfortunately, TSBS upstream does not support MongoDB time series collections.
What are some alternatives?
When comparing dbt-clickhouse and tsbs you can also consider the following projects:
ClickHouse - ClickHouse® is a free analytics DBMS for big data
QuestDB - An open source time-series database for fast ingest and SQL queries