Alternatives

Products that do what Apache Amoro is a Lakehouse management system built on iceberg does

Apache Amoro (incubating) is a Lakehouse management system built on open data lake formats. Working with compute engines including Flink, Spark, and Trino, Amoro brings pluggable and self-managed features for Lakehouse to provide out-of-the-box data warehouse experience, and helps data platforms or products easily build infra-decoupled, stream-and-batch-fused and lake-native architecture.

1. 1
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2. 2
   Amploo▲1,152

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3. 3OS
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4. 4UF
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5. 5
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6. 6AB
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8. 8HD
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9. 9
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10. 10
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11. 11
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12. 12SR
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13. 13
    Hanko Cloud (Beta)▲135

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14. 14AF
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15. 15KA
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16. 16MI
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17. 17SS
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18. 18
    Streambased▲114

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19. 19OA
    Obelisk – a WASM-based deterministic workflow engine▲103

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20. 20GO
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    Hi HN! We are Ashish and Armend, founders of GlassFlow. We just launched our open-source streaming ETL that deduplicates and joins Kafka streams before ingesting them to ClickHouse https://github.com/glassflow/clickhouse-etl Why we built this: Dedup with batch data is straightforward. You load the data into a temporary table. Then, find only the latest versions of the record through hashes or keys and keep them. After that, move the clean data into your main table. But have you tried this with streaming data? Users of our prev product were running real-time analytics…

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21. 21GA
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22. 22BD
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23. 23
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24. 24
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