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Hive facilitates reading, writing, and managing large datasets residing in distributed storage using SQL. Structure can be projected onto data already in storage. | It makes the data available from any database as a serverless web service, simplifying the process of building data-driven applications. Knative and OpenFaaS are the only supported serverless frameworks in octo-cli for now. |
Built on top of Apache Hadoop;
Tools to enable easy access to data via SQL;
Support for extract/transform/load (ETL), reporting, and data analysis;
Access to files stored either directly in Apache HDFS and HBase;
Query execution using Apache Hadoop MapReduce, Tez or Spark frameworks | Supported Databases: PostgresSQL, MSSQL;
Supported Serverless Frameworks: OpenFaaS, Knative |
Statistics | |
GitHub Stars 5.9K | GitHub Stars 688 |
GitHub Forks 4.8K | GitHub Forks 18 |
Stacks 488 | Stacks 0 |
Followers 475 | Followers 10 |
Votes 0 | Votes 0 |
Integrations | |

It is the universal MySQL and MariaDB client for database management, administration and development. With the help of this intelligent MySQL client the work with data and code has become easier and more convenient. This tool provides utilities to compare, synchronize, and backup MySQL databases with scheduling, and gives possibility to analyze and report MySQL tables data.

It is a powerful integrated development environment (IDE) which helps Oracle SQL developers to increase PL/SQL coding speed, provides versatile data editing tools for managing in-database and external data.

It is a GUI tool for database development and management. The IDE for PostgreSQL allows users to create, develop, and execute queries, edit and adjust the code to their requirements in a convenient and user-friendly interface.

It is a powerful IDE for SQL Server management, administration, development, data reporting and analysis. The tool will help SQL developers to manage databases, version-control database changes in popular source control systems, speed up routine tasks, as well, as to make complex database changes.

Spark is a fast and general processing engine compatible with Hadoop data. It can run in Hadoop clusters through YARN or Spark's standalone mode, and it can process data in HDFS, HBase, Cassandra, Hive, and any Hadoop InputFormat. It is designed to perform both batch processing (similar to MapReduce) and new workloads like streaming, interactive queries, and machine learning.

Liquibase is th leading open-source tool for database schema change management. Liquibase helps teams track, version, and deploy database schema and logic changes so they can automate their database code process with their app code process.

Sequel Pro is a fast, easy-to-use Mac database management application for working with MySQL databases.

It is a free multi-platform database tool for developers, SQL programmers, database administrators and analysts. Supports all popular databases: MySQL, PostgreSQL, SQLite, Oracle, DB2, SQL Server, Sybase, Teradata, MongoDB, Cassandra, Redis, etc.

Distributed SQL Query Engine for Big Data

It is an IntelliSense add-in for SQL Server Management Studio, designed to provide the fastest T-SQL query typing ever possible.