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  2. Apache Hive - Wikipedia

    en.wikipedia.org/wiki/Apache_Hive

    Apache Hive is a data warehouse software project. It is built on top of Apache Hadoop for providing data query and analysis. [ 3 ] [ 4 ] Hive gives an SQL-like interface to query data stored in various databases and file systems that integrate with Hadoop.

  3. JDBC driver - Wikipedia

    en.wikipedia.org/wiki/JDBC_driver

    The JDBC type 4 driver, also known as the Direct to Database Pure Java Driver, is a database driver implementation that converts JDBC calls directly into a vendor-specific database protocol. Written completely in Java , type 4 drivers are thus platform independent .

  4. List of Apache Software Foundation projects - Wikipedia

    en.wikipedia.org/wiki/List_of_Apache_Software...

    HBase: Apache HBase software is the Hadoop database. Think of it as a distributed, scalable, big data store; Helix: a cluster management framework for partitioned and replicated distributed resources; Hive: the Apache Hive data warehouse software facilitates querying and managing large datasets residing in distributed storage.

  5. Java Database Connectivity - Wikipedia

    en.wikipedia.org/wiki/Java_Database_Connectivity

    An example of this is the KPRB (Kernel Program Bundled) driver [16] supplied with Oracle RDBMS. "jdbc:default:connection" offers a relatively standard way of making such a connection (at least the Oracle database and Apache Derby support it). However, in the case of an internal JDBC driver, the JDBC client actually runs as part of the database ...

  6. Apache iBATIS - Wikipedia

    en.wikipedia.org/wiki/Apache_iBATIS

    The result is a significant reduction in the amount of code that a developer needs to access a relational database using lower level APIs like JDBC and ODBC. Other persistence frameworks such as Hibernate allow the creation of an object model (in Java, say) by the user, and create and maintain the relational database automatically.

  7. Oracle NoSQL Database - Wikipedia

    en.wikipedia.org/wiki/Oracle_NoSQL_Database

    Oracle Big Data SQL is a common SQL access layer to data stored in Hadoop, HDFS, Hive and OND. This allows customers to query Oracle NoSQL Data from Hive or Oracle Database. Users can run MapReduce jobs against data stored in OND that is configured for secure access. The latest release also supports both primitive and complex data types

  8. Apache Phoenix - Wikipedia

    en.wikipedia.org/wiki/Apache_Phoenix

    Apache Phoenix is an open source, massively parallel, relational database engine supporting OLTP for Hadoop using Apache HBase as its backing store. Phoenix provides a JDBC driver that hides the intricacies of the NoSQL store enabling users to create, delete, and alter SQL tables, views, indexes, and sequences; insert and delete rows singly and in bulk; and query data through SQL. [1]

  9. Apache Iceberg - Wikipedia

    en.wikipedia.org/wiki/Apache_Iceberg

    Apache Iceberg is a high performance open-source format for large analytic tables. Iceberg enables the use of SQL tables for big data while making it possible for engines like Spark , Trino , Flink , Presto , Hive , Impala , StarRocks, Doris, and Pig to safely work with the same tables, at the same time. [ 1 ]