spark-snowflake
flintrock
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| spark-snowflake | flintrock | |
|---|---|---|
| 1 | 1 | |
| 196 | 630 | |
| -0.5% | - | |
| 5.6 | 5.0 | |
| about 2 months ago | 14 days ago | |
| Scala | Python | |
| Apache License 2.0 | Apache License 2.0 |
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.
spark-snowflake
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Why Databricks Is Winning
Snowflake and Databricks are different, sometimes complementary technologies. You can store data in Snowflake & query it with Databricks for example: https://github.com/snowflakedb/spark-snowflake
Snowflake predicate pushdown filtering seems quite promising: https://www.snowflake.com/blog/snowflake-spark-part-2-pushin...
Think both these companies can win.
flintrock
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Why Databricks Is Winning
> * AWS has a managed Spark offering called EMR
There is also my rinky-dink open source project, Flintrock [0], that will launch open source Spark clusters on AWS for you.
It's probably not the right tool for production use (and you would be right to wonder why Flintrock exists when we have EMR [1]), but I know of several companies that have used Flintrock at one point or other in production at large scale (like, 400+ node clusters).
[0]: https://github.com/nchammas/flintrock
[1]: https://github.com/nchammas/flintrock#why-build-flintrock-wh...
What are some alternatives?
databricks-nutter-repos-demo - Demo of using the Nutter for testing of Databricks notebooks in the CI/CD pipeline
Apache Spark - Apache Spark - A unified analytics engine for large-scale data processing
dask-gateway - A multi-tenant server for securely deploying and managing Dask clusters.
chispa - PySpark test helper methods with beautiful error messages
delta - An open-source storage framework that enables building a Lakehouse architecture with compute engines including Spark, PrestoDB, Flink, Trino, and Hive and APIs
MLflow - Open source platform for the machine learning lifecycle
quinn - pyspark methods to enhance developer productivity 📣 👯 🎉