Upserts, Deletes And Incremental Processing on Big Data.
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Updated
May 13, 2024 - Java
Upserts, Deletes And Incremental Processing on Big Data.
The leading data integration platform for ETL / ELT data pipelines from APIs, databases & files to data warehouses, data lakes & data lakehouses. Both self-hosted and Cloud-hosted.
Database replication platform that leverages change data capture. Stream production data from databases to your data warehouse (Snowflake, BigQuery, Redshift) in real-time.
Infinitely scalable, event-driven, language-agnostic orchestration and scheduling platform to manage millions of workflows declaratively in code.
An orchestration platform for the development, production, and observation of data assets.
Turns Data and AI algorithms into production-ready web applications in no time.
Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
CloudQuery Go SDK for source and destination plugins
Conduit streams data between data stores. Kafka Connect replacement. No JVM required.
🧙 Build, run, and manage data pipelines for integrating and transforming data.
Jitsu is an open-source Segment alternative. Fully-scriptable data ingestion engine for modern data teams. Set-up a real-time data pipeline in minutes, not days
Privacy and Security focused Segment-alternative, in Golang and React
Business Automations is a collection of automations built to enhance productivity, increase revenue, and reduce manual data manipulation at a retail store location that integrates a NCR Counterpoint SQL database with the BigCommerce e-commerce platform.
SeaTunnel is a next-generation super high-performance, distributed, massive data integration tool.
The open source high performance ELT framework powered by Apache Arrow
Flink CDC is a streaming data integration tool
Building data processing pipelines for documents processing with NLP using Apache NiFi and related services
Translator of spreadsheet mappings into R2RML, RML or YARRRML
Apache DevLake is an open-source dev data platform to ingest, analyze, and visualize the fragmented data from DevOps tools, extracting insights for engineering excellence, developer experience, and community growth.
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