dbt-data-reliability VS deequ

Compare dbt-data-reliability vs deequ and see what are their differences.

dbt-data-reliability

dbt package that is part of Elementary, the dbt-native data observability solution for data & analytics engineers. Monitor your data pipelines in minutes. Available as self-hosted or cloud service with premium features. (by elementary-data)

deequ

Deequ is a library built on top of Apache Spark for defining "unit tests for data", which measure data quality in large datasets. (by awslabs)
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dbt-data-reliability deequ
2 17
328 3,103
7.3% 1.6%
9.7 7.5
8 days ago 18 days ago
Python Scala
Apache License 2.0 Apache License 2.0
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.

dbt-data-reliability

Posts with mentions or reviews of dbt-data-reliability. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-03-04.

deequ

Posts with mentions or reviews of deequ. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-03-01.

What are some alternatives?

When comparing dbt-data-reliability and deequ you can also consider the following projects:

soda-sql - Data profiling, testing, and monitoring for SQL accessible data.

azure-kusto-spark - Apache Spark Connector for Azure Kusto

elementary - The dbt-native data observability solution for data & analytics engineers. Monitor your data pipelines in minutes. Available as self-hosted or cloud service with premium features.

re_data - re_data - fix data issues before your users & CEO would discover them 😊

Quill - Compile-time Language Integrated Queries for Scala

BigDL - Accelerate local LLM inference and finetuning (LLaMA, Mistral, ChatGLM, Qwen, Baichuan, Mixtral, Gemma, etc.) on Intel CPU and GPU (e.g., local PC with iGPU, discrete GPU such as Arc, Flex and Max). A PyTorch LLM library that seamlessly integrates with HuggingFace, LangChain, LlamaIndex, DeepSpeed, vLLM, FastChat, ModelScope, etc.

SynapseML - Simple and Distributed Machine Learning

soda-core - :zap: Data quality testing for the modern data stack (SQL, Spark, and Pandas) https://www.soda.io

Apache Spark - Apache Spark - A unified analytics engine for large-scale data processing

sqllineage - SQL Lineage Analysis Tool powered by Python