Open-source alternatives to Inlong

Benthos is a stream processing engine and data integration pipeline used for routing, transforming, and connecting data streams between diverse sources and sinks. It functions as event routing middleware and a change data capture tool, streaming real-time database modifications as discrete events for downstream processing. The system utilizes a declarative pipeline configuration, where data flow and processing logic are defined in a single static file. It features a specialized domain-specific language for mapping, filtering, and enriching data payloads, allowing for complex transformations w

CloudQuery is a cloud infrastructure ETL tool and multi-cloud data pipeline designed to collect, synchronize, and normalize resource metadata from various cloud providers and SaaS platforms. It functions as a centralized asset inventory manager and security posture manager, extracting configuration and state data into relational databases, data lakes, or data warehouses. The system distinguishes itself by transforming complex, nested cloud API responses into flat relational tables, enabling the use of standard SQL for asset querying and analysis. It employs a modular plugin system for data ex

Data Integration for Production Data Stores. :dizzy:

dlt is a Python data ingestion tool and ETL pipeline framework designed to fetch data from diverse sources and persist it into structured destinations. It functions as a schema inference engine that automatically detects data types and flattens nested JSON structures into relational tables, moving data from sources to lakehouses, warehouses, or vector databases. The project distinguishes itself through AI-powered pipeline generation, using large language models to scaffold extraction code and connectors for REST APIs. It also supports multimodal vector storage and specialized population of ve

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Confluence Cloud to Markdown crawler with incremental updates and local link rewriting

omniparser: a native Golang ETL streaming parser and transform library for CSV, JSON, XML, EDI, text, etc.

Meltano is an open-source platform for building, running, and orchestrating ELT (Extract, Load, Transform) data pipelines. It provides a declarative, YAML-driven configuration system that defines entire pipeline workflows, including data connectors, schedules, and transformations, without requiring imperative code. The platform is built on the Singer specification for data connectors and integrates with dbt for SQL-based transformations and Apache Airflow for scheduling and orchestration. What distinguishes Meltano is its comprehensive approach to pipeline management, combining a curated cata

Pentaho Kettle is an enterprise ETL data integration platform designed to extract, transform, and load data between disparate sources and target databases. It functions as a metadata-driven orchestrator that utilizes a visual workflow designer to create and manage complex sequences of data tasks and transformation pipelines. The system is distinguished by its distributed data processing engine, which executes workloads across clusters of server nodes to increase throughput. It employs a plugin-based architecture, allowing the platform to be extended via external JAR files to provide connectiv

Singer is an open source standard for moving data between databases, web APIs, files, queues, and just about anything else you can think of. The Singer spec describes how data extraction scripts — called “Taps” — and data loading scripts — called “Targets” — should communicate using a standard…