Topics / #hive

Hive projects on GitHub

SQL query engines and data warehouse layers on top of big data storage.

As of , the most-starred Hive projects on GitHub are spark (44.2K stars), APIJSON (18.4K stars) and BigData-Notes (17K stars). GitHub.Locker tracks 6 Hive repositories with 120.3K stars combined. The fastest-growing on October 16 was spark, with +10 stars in a day.

6Projects
120.3KStars in total
+18Stars in a day

Hot right now

Most stars gained in a day · Oct 16

The all-time top

6 projects · by stars

  1. #1 · apache/spark

    spark

    Apache Spark is a unified analytics engine for large-scale data processing, offering high-level APIs in Scala, Java, Python, and R on top of an optimized execution engine.

    44.2K
  2. #2 · APIJSON/APIJSON

    APIJSON

    APIJSON is a JSON-based communication protocol and ORM library that auto-provides CRUD APIs and documentation with no backend coding, while clients define exactly what JSON data and structure they get back.

    18.4K
  3. #3 · heibaiying/BigData-Notes

    BigData-Notes

    This is a comprehensive Chinese-language study guide covering the big data ecosystem: Hadoop, Hive, Spark, Storm, Flink, HBase, Kafka, Zookeeper, Flume, Sqoop, Azkaban, and Scala.

    17K
  1. 4

    presto

    16.8Kprestodb/presto · Java

    Presto is a distributed SQL query engine for running interactive analytic queries against big data sources.

  2. 5

    trino

    13.3Ktrinodb/trino · Java

    Trino is a fast distributed SQL query engine for big data analytics — you run it as a server (or cluster) and query large datasets with standard SQL. It was formerly known as PrestoSQL.

  3. 6

    God-Of-BigData

    10.6Kwangzhiwubigdata/God-Of-BigData

    A curated Chinese-language knowledge base for learning big data engineering and passing big data interviews, covering Java fundamentals, distributed systems theory, and deep dives into Hadoop, Hive, Spark, Flink, HBase, Kafka, and Zookeeper.

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