24 leading ETL and data integration platforms for building reliable, scalable pipelines — from serverless cloud services to enterprise-grade engines.
From serverless managed cloud services to open-source engines, these platforms cover real-time streaming CDC, bulk batch loads, ELT transformations, and enterprise-grade data governance.
Low-code data pipeline platform for building, running, and monitoring ETL/ELT workflows. Xplenty merged with FlyData, DreamFactory, and Intermix.io to form Integrate.io in 2022, offering connectors for 200+ sources.
Visit site ↗Comprehensive data integration, quality, and governance platform with 1,000+ connectors, graphical pipeline design, and built-in data quality checks across cloud and on-premises environments.
Visit site ↗Real-time CDC (Change Data Capture) replication to Redshift and Snowflake. FlyData was acquired by Integrate.io, adding automated, scalable real-time database streaming to the platform.
Visit site ↗Enterprise-grade ETL and data integration platform for mission-critical workloads. Now part of Informatica IDMC (Intelligent Data Management Cloud) with a guided path to cloud modernisation.
Visit site ↗Comprehensive data integration platform covering all requirements from high-volume batch ETL to event-driven trickle feeds and SOA-enabled data services across Oracle and third-party systems.
Visit site ↗Simple, extensible ETL built for data teams. Connect 140+ sources — databases, SaaS tools, event streams — and replicate data to Redshift, BigQuery, Snowflake, or S3 with minimal setup.
Visit site ↗Automated, fully managed data movement platform. Pre-built connectors replicate data from any source into your warehouse with zero maintenance, automatic schema migration, and near-real-time syncs.
Visit site ↗Real-time data integration and streaming platform. Unlike batch ETL, Striim continuously integrates data from on-premises databases, logs, and cloud sources into MySQL-compatible and cloud destinations.
Visit site ↗Cloud-native ELT platform purpose-built for Snowflake, BigQuery, Redshift, and Delta Lake. Transform data fast with drag-and-drop pipeline design and built-in AI assistance.
Visit site ↗Lumada DataOps Suite built with Pentaho delivers end-to-end data integration and analytics at enterprise scale — from ingestion and transformation to reporting and visualisation.
Visit site ↗Fully managed, serverless ETL service on AWS. Automatically discovers, catalogs, and transforms data for analytics and machine learning — no infrastructure to provision or manage.
Visit site ↗Cloud data platform for syncing, storing, and accessing all your data — no code required. Automatically manages data models and warehousing infrastructure so teams focus on analysis.
Visit site ↗No-code data pipeline platform loading data reliably from relational databases, NoSQL stores, SaaS apps, files, and S3 buckets into your warehouse — with fault-tolerant pipelines and automatic schema mapping.
Visit site ↗Cloud-native data integration on IBM Cloud Pak for Data. Accelerates AI innovation with high-performance ETL, ELT, and streaming pipelines across hybrid and multi-cloud environments at petabyte scale.
Visit site ↗Wizard-based cloud ETL platform for data import, migration, replication, and continuous integration. Supports 180+ cloud apps, databases, and data warehouses with a no-code visual interface.
Visit site ↗Maximise the value of structured and unstructured data with powerful capabilities for data integration, quality cleansing, and governance across SAP and non-SAP enterprise systems.
Visit site ↗Graphical tools for designing, scheduling, and monitoring data transformation workflows at enterprise scale. Base business decisions on complete, consistent, and auditable data across all sources.
Visit site ↗Hybrid data integration at enterprise scale. Visually build, orchestrate, and monitor ETL/ELT pipelines that move and transform data across 90+ connectors spanning cloud and on-premises sources.
Visit site ↗Flexible open-source-based ETL powered by Talend technology. Graphical drag-and-drop pipeline design for data integration, transformation, and cleansing across enterprise systems at any scale.
Visit site ↗Fully managed, serverless unified stream and batch data processing powered by Apache Beam. Auto-scales resources on demand for cost-effective, fast, fault-tolerant data pipelines with no server management.
Visit site ↗Real-time streaming data integration platform that uses Apache Spark for ETL and ML pipelines. Smart DataOps pipelines detect and self-heal data drift across hybrid and multi-cloud environments.
Visit site ↗Plug-and-play cloud-to-warehouse ELT pipelines that pull data from SaaS tools, databases, and data lakes into your warehouse — eliminating data silos across your cloud ecosystem.
Visit site ↗AI-powered data extraction and enterprise automation platform (XDAS). Delivers digital shelf analytics, competitive intelligence, brand reputation tracking, and workflow automation across 200+ solutions.
Visit site ↗The only high-performance, all-in-one data management platform. Control data across every lifecycle stage — discovery, integration, migration, governance, masking, and analytics — in one unified platform.
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