Search Results for "postgres-xl"

...Cube was designed to work with all SQL-enabled data sources, including cloud data warehouses like Snowflake or Google BigQuery, query engines like Presto or Amazon Athena, and application databases like Postgres. Cube has a built-in relational caching engine to provide sub-second latency and high concurrency for API requests.

sq is a command line tool that provides jq-style access to structured data sources: SQL databases, or document formats like CSV or Excel. sq executes jq-like queries, or database-native SQL. It can join across sources: join a CSV file to a Postgres table, or MySQL with Excel. sq outputs to a multitude of formats including JSON, Excel, CSV, HTML, Markdown and XML, and can insert query results directly to a SQL database. sq can also inspect sources to view metadata about the source structure (tables, columns, size). You can use sq diff to compare tables, or entire databases. sq has commands for common database operations to copy, truncate, and drop tables.

Static security code scanner (SAST) for Node.js applications powered by libsast and semgrep. nodejsscan is a static security code scanner for Node.js applications.

Bots-ediint is a file translator for EDI (Electronic Data Interchange). Translate files and databases data format to another one: edifact, x12, tradacoms, xml, json, raw, database (postgres, sqlite, mysql, oracle, ...) and more. Bots-ediint is based on Bots https://bots.sourceforge.net Support Python 2 and Python 3 AS2 communications are carried out with my external software that could work in standalone and/or in a Bots channel to send and receive AS2 messages (SYNC and ASYNC) Help the future to be an open world.

Now also living on gitlab. https://gitlab.com/mds-/xplordb Mineral Exploration Database template/ system for Postgres/PostGIS and QGIS. The project incorporates import scripts, data storage, validation, reporting, 3D drill trace generation and more. psql, pgAdmin and QGIS are the suggested database and GIS front-end programs.

...Sources and destinations include different SQL and NoSQL backends, file formats like .csv, XML and excel. Even untidy HTML web pages. It has a database abstraction layer that supports connectivity to Postgres, MySQL, DB2, Oracle, MS SQL server. JSON and MongoDB is coming. It uses XML/JSON formats(self-generated SQL schemas) for representing queries, transformation and merging, making it scriptable. This means that QAL can be backend agnostic about a subset of SQL features and data types. Of course custom SQL:s are also supported. ...