Open Source ETL Tools

Python scripts for ETL (extract, transform and load) jobs for Ethereum blocks, transactions, ERC20 / ERC721 tokens, transfers, receipts, logs, contracts, internal transactions. Data is available in Google BigQuery. Ethereum ETL lets you convert blockchain data into convenient formats like CSVs and relational databases.

ETL Framework is a standalone Extract Transform Load engine written in Java. It includes executables for all major platforms and can be easily integrated into other applications. Key Features: * embeddable, open source and free * fast and scalable * uses target database features to do transformations and loads * manual and automatic data mapping * data streaming * bulk data loads * data quality features using SQL, JavaScript? and regex * data transformations Requirements * Java 1.6 and up * At least 4 MB of RAM New in 3.2 (01/18/2013) * Improved auto-update functionality * Bug fixes

Compose Transporter helps with database transformations from one store to another. It can also sync from one to another or several stores. This version officially only supports the mongodb and postgresql adaptors. Support for other DBs will be added later on. Other adaptors may or may not work. You're encouraged to still use v0.5.2 for non mongo/postgres migrations. Transporter allows the user to configure a number of data adaptors as sources or sinks. These can be databases, files or other resources. Data is read from the sources, converted into a message format, and then send down to the sink where the message is converted into a writable format for its destination. The user can also create data transformations in JavaScript which can sit between the source and sink and manipulate or filter the message flow. Adaptors may be able to track changes as they happen in source data. This "tail" capability allows a Transporter to stay running and keep the sinks in sync.

Better SQL in java! Offering a seamless java class mapping and SQL-like domain-specific language implemented for number of commercial and open-source DBMS

“Genoma Datawarehouse framework version 1.0” esta compuesto por un conjunto de atributos y entidades relacionadas entre si que tienen por objetivo almacenar los datos en un datawarehouse corporativo.

Pypes is a framework which allows users to break complex data processing logic down into a series of smaller less complex tasks. These tasks, referred to as components, can then be connected so that the output of one becomes the input to another.