Alternatives

Products that do what AWS Data Wrangler - Move pandas/spark dataframes across AWS services does

1. 1
   Mover▲81

   Easily move files between cloud services

   2014

2. 2DM
   DataFire – Move Data between APIs▲6

   2015 · datafire.io

3. 3IM
   I made this tool for navigating pandas datasets▲20

   2020 · github.com

4. 4PW
   Python Wrapper for AWS DynamoDB▲5

   2021 · github.com

5. 5BR
   Build Real-Time Data Pipelines with Spark Streamliner▲20

   2015 · blog.memsql.com

6. 6SB
   Splitgraph - Build and share data with Postgres, inspired by Docker/Git▲81

   2020 · splitgraph.com

7. 7BA
   Bamboolib – A GUI for Pandas (Python Data Science)▲119

   2019 · bamboolib.com

8. 8AS
   Amazon S3 API Support for Backblaze B2 Cloud Storage Service▲74

   2017 · blog.minio.io

9. 9CA
   CurioDB – A distributed/persistent Redis clone built with Scala/Akka▲62

   2015 · github.com

10. 10DM
    DB Migrations as Clojure data▲31

    2014 · github.com

11. 11AC
    Auto-Cluster RabbitMQ with AWS Autoscaling Groups▲44

    2016 · aweber.github.io

12. 12EM
    Easily move between cloud storage (S3, Backblaze, OneDrive, etc.)▲30

    2020 · movebot.io

13. 13DI
    Dataframes in Elixir Backed by Rust▲16

    2021 · github.com

14. 14PI
    Pandas in JS▲14

    2017 · stratodem.github.io

15. 15AG
    A globally distributed, cross-region/cloud DB in 25 regions in 40s▲17

    2019 · macrometa.co

16. 16UP
    Using Pandas/WebGL/SQLite to map a million new sister cities▲12

    2020 · leebutterman.com

17. 17AS
    A step-by-step, open-source tool for easy Docker deployments to AWS▲18

    2017 · zenc.io

18. 18SD
    Streaming DataFrames–a Pandas-like syntax for real-time data▲8

    Hey all! We’ve built a Pandas-like interface to make it easy to work with streaming data using what we call ‘Streaming DataFrames’. For example, suppose that you want to convert speed measurement units from meters per second to kilometers per hour With static data in Pandas, you’d do this: df["speed_km_h"] = df["speed_m_s"] * 3.6 With Streaming DataFrames, it’s pretty much the same thing… sdf["speed_km_h"] = sdf["speed_m_s"] * 3.6 …except it’s being done continuously and the updated records can be sent to an output topic in Kafka with almost no delay after they’ve been processed. You can…

    2024 · github.com

19. 19DE
    DataDuck ETL – Ruby framework for setting up a Redshift data warehouse▲7

    2015 · github.com

20. 20WT
    Ways to build real time interactions with Apache Spark▲9

    2017 · spoddutur.github.io

21. 21MB
    Migrating Between Different Databases in 4 LOC (Python)▲6

    2016 · github.com

22. 22EH
    Event Horizon with AWS DynamoDB (CQRS/ES in Go)▲8

    2016 · github.com

23. 23KS
    Kev – S3 and Redis as Datastores (with Redis Indexing)▲8

    2016 · github.com

24. 24HS
    Hot-swap API endpoints and Kafka streams with Clojure and Dataworks▲8

    2020 · github.com

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