Apache Hudi

Apache Hudi

Apache Hudi revolutionizes data lake management by enabling rapid updates and deletions through efficient, pluggable indexing. It supports database CDC and high-scale streaming, ensuring optimal performance in bursty traffic scenarios. With atomic writes and snapshot isolation, users can effortlessly track historical changes, adapt schemas dynamically, and automate table services for continuous optimization.

Top Apache Hudi Alternatives

1

Apache Doris

Apache Doris revolutionizes real-time analytics with its compute-storage decoupled architecture, delivering lightning-fast query performance while significantly reducing costs by up to 90%.

By: The Apache Software Foundation From United States
2

dashDb Local

dashDB Local enables users to deploy a client-managed database on any infrastructure supporting Docker, including private data centers and cloud platforms like Amazon AWS EC2 and Microsoft Azure.

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3

Qlik Compose

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4

IBM Db2 Warehouse

IBM Db2 Warehouse delivers optimized performance for always-on workloads, enabling seamless access to data across hybrid cloud environments.

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5

Apache Kylin

Apache Kylin is a powerful OLAP engine designed for high-performance and high-concurrency data analytics.

By: Apache Software Foundation From United States
6

IBM Netezza Performance Server

IBM® Netezza® Performance Server is a cloud-native enterprise data warehouse tailored for deep analytics, business intelligence, and AI/ML workloads.

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7

Datawarehouse.io

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8

VMware Tanzu Greenplum

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WhereScape

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Milliman Transparent

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Task Factory

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12

Actian Avalanche

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13

Cloudera Operational DB

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14

Astera DW Builder

Its no-code interface simplifies building complex data models while ensuring seamless integration across diverse environments...

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15

Attunity Compose

It automates the data warehouse lifecycle, ensuring analytics-ready datasets while supporting AI-driven insights...

By: Qlik From United States

Top Apache Hudi Features

  • Fast
  • pluggable indexing
  • Incremental streaming ingestion
  • Atomic writes support
  • Snapshot isolation model
  • Non-blocking concurrency controls
  • Historical data querying
  • Rollback to table version
  • Commit history auditing
  • Automated table services
  • Continuous optimization scheduling
  • Built-in auto ingestion tools
  • Schema evolution support
  • Multi-modal indexing subsystem
  • Efficient upserts mechanism
  • Streamlined data lake management
  • Integration with cloud ecosystems
  • Extensive data source support
  • Rapid query performance
  • Data deduplication capabilities
  • Support for out-of-order records