clickhouse-java VS dbt-unit-testing

Compare clickhouse-java vs dbt-unit-testing and see what are their differences.

dbt-unit-testing

This dbt package contains macros to support unit testing that can be (re)used across dbt projects. (by EqualExperts)
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clickhouse-java dbt-unit-testing
1 7
1,370 404
0.7% 1.5%
9.0 7.7
4 days ago 14 days ago
Java Shell
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.

clickhouse-java

Posts with mentions or reviews of clickhouse-java. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-01-30.
  • SQL should be your default choice for data engineering pipelines
    5 projects | news.ycombinator.com | 30 Jan 2023
    Agree with the OP that SQL will almost assuredly still be in use for 20+ years in the future, given the simplicity and flexibility of the declarative language, standardization, and as applicable to today as it was then to our big data problems.

    Any discussion of SQL at scale must include ClickHouse [https://clickhouse.com/docs/en/install#self-managed-install], given it's broad open-source use, integrations available for Spark with JDBC [https://github.com/ClickHouse/clickhouse-jdbc/] or the open-source Spark-ClickHouse Connector [https://github.com/housepower/spark-clickhouse-connector], and capability to scale SQL as a network service.

    Disclosure: I work for ClickHouse

dbt-unit-testing

Posts with mentions or reviews of dbt-unit-testing. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-05-03.

What are some alternatives?

When comparing clickhouse-java and dbt-unit-testing you can also consider the following projects:

jaybird - JDBC driver for Firebird

sqlglot - Python SQL Parser and Transpiler

data-diff - Compare tables within or across databases

dbt-expectations - Port(ish) of Great Expectations to dbt test macros

sqlx - 🧰 The Rust SQL Toolkit. An async, pure Rust SQL crate featuring compile-time checked queries without a DSL. Supports PostgreSQL, MySQL, and SQLite.

SS-Unit - A 100% T-SQL based unit testing framework for SQL Server

hash-db - Experimental distributed pseudomultimodel keyvalue database (it uses python dictionaries) imitating dynamodb querying with join only SQL support, distributed joins and simple Cypher graph support and document storage

spark-style-guide - Spark style guide

pg-mem - An in memory postgres DB instance for your unit tests

bytebase - The GitLab/GitHub for database DevOps. World's most advanced database DevOps and CI/CD for Developer, DBA and Platform Engineering teams.

fugue - A unified interface for distributed computing. Fugue executes SQL, Python, Pandas, and Polars code on Spark, Dask and Ray without any rewrites.

integresql - IntegreSQL manages isolated PostgreSQL databases for your integration tests.