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Apache Tajo

A big data warehouse system on Hadoop

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Apache Tajo is a robust big data relational and distributed data warehouse system for Apache Hadoop. It is designed for low-latency and scalable ad-hoc queries, online aggregation, and ETL on large-data sets stored on HDFS and other data sources. It supports SQL standards and leverages advanced database techniques for distributed execution and data flow.

12 alternatives to Apache Tajo

Ranked by how well each tool replaces Apache Tajo: shared features, audience, price and popularity.

  1. Apache Hive

    Distributed data warehouse for massive-scale analytics.

    Covers 0 of 12 key features.

    Open source
    62 out of 100 match—

  2. Apache Pig

    A platform for analyzing large data sets with a high-level language and infrastructure for

    Covers 0 of 12 key features.

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    57 out of 100 match—

  3. Apache Spark

    Unified engine for large-scale data analytics.

    Covers 0 of 12 key features.

    Open source
    55 out of 100 match—

  4. Apache Kylin

    Apache Kylin Overview.

    Covers 0 of 12 key features.

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  5. Apache Hadoop

    Open-source software for reliable, scalable, distributed computing

    Covers 0 of 12 key features and has a free plan.

    Free planOpen source
    53 out of 100 matchFree

  6. Apache Impala

    Open source, native analytic database for open data and table formats.

    Covers 1 of 12 key features.

    Open source
    51 out of 100 match—

  7. Apache Drill

    Schema-free SQL query engine for Hadoop, NoSQL and cloud storage

    Covers 1 of 12 key features and has a free plan.

    Free planOpen source
    50 out of 100 matchContact sales

  8. Apache Apex

    Enterprise-grade unified stream and batch processing engine with event-time windowing.

    Covers 1 of 12 key features.

    Open source
    49 out of 100 match—

  9. Apache Kudu

    Fast analytics on fast data.

    Covers 0 of 12 key features.

    Open source
    49 out of 100 match—

  10. Apache AsterixDB

    A scalable, open source Big Data Management System (BDMS) for storing, indexing and semi-.

    Covers 0 of 12 key features.

    Open source
    48 out of 100 match—

  11. Hazelcast

    Unified real-time data platform combining stream processing and a fast data store for real

    Covers 0 of 12 key features.

    44 out of 100 matchContact sales

  12. Apache Storm

    Distributed real-time computation system for processing unbounded data streams

    Covers 1 of 12 key features and has a free plan.

    Free planOpen source
    44 out of 100 matchFree