dbt-oracle VS piperider

Compare dbt-oracle vs piperider and see what are their differences.

Our great sponsors
  • InfluxDB - Power Real-Time Data Analytics at Scale
  • WorkOS - The modern identity platform for B2B SaaS
  • SaaSHub - Software Alternatives and Reviews
dbt-oracle piperider
1 6
41 467
- 0.6%
7.9 9.5
10 days ago about 2 months ago
Python Python
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-oracle

Posts with mentions or reviews of dbt-oracle. We have used some of these posts to build our list of alternatives and similar projects.

piperider

Posts with mentions or reviews of piperider. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-09-06.

What are some alternatives?

When comparing dbt-oracle and piperider you can also consider the following projects:

Mage - 🧙 The modern replacement for Airflow. Mage is an open-source data pipeline tool for transforming and integrating data. https://github.com/mage-ai/mage-ai

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

dbt-fal - do more with dbt. dbt-fal helps you run Python alongside dbt, so you can send Slack alerts, detect anomalies and build machine learning models.

great_expectations - Always know what to expect from your data.

dbt-clickhouse - The Clickhouse plugin for dbt (data build tool)

pointblank - Data quality assessment and metadata reporting for data frames and database tables

data-diff - Compare tables within or across databases

pandas-profiling - Create HTML profiling reports from pandas DataFrame objects [Moved to: https://github.com/ydataai/pandas-profiling]

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

ydata-profiling - 1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.

dbt-duckdb - dbt (http://getdbt.com) adapter for DuckDB (http://duckdb.org)

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.