Tilaback

Tilaback is an open-source data processing framework designed to streamline the development of data pipelines. It provides a modular architecture with pluggable components for data ingestion, transformation, and output. The framework supports both batch and streaming processing and is designed to run on-premises, in private clouds, or in public clouds.

Key features include a core runtime that coordinates pipeline execution, a library of connectors to databases, message queues, file stores, and cloud services, and a plugin system for custom processing steps. Tilaback emphasizes portability across execution engines and storage backends, fault tolerance, backpressure handling, and exactly-once processing semantics in streaming mode. Configuration is typically defined in declarative files and version-controlled.

History and governance: Tilaback originated as a collaborative effort among researchers and engineers from several institutions. It is maintained by an international community of contributors with a governance model that includes a core maintainers group and a foundation or sponsorship program supporting ongoing development and documentation. The project has regular minor releases and periodic major versions.

Usage and impact: Organizations use Tilaback to integrate data from databases, message brokers, and file systems, apply transformations, and publish results to data warehouses, data lakes, or analytics dashboards. The ecosystem includes a growing set of connectors, monitoring tools, and example pipelines. Tilaback positions itself alongside other data-processing frameworks such as Apache Beam, Apache Flink, and Apache NiFi, offering a lightweight alternative for teams prioritizing modularity and cloud portability.