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IBM InfoSphere DataStage

Extract, transfer and load ETL data across multiple systems, with support forextended metadata management and big data enterprise connectivity.

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IBM InfoSphere DataStage Alternatives

The best IBM InfoSphere DataStage alternatives based on verified products, votes, reviews and other factors.
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  1. Learn more about Azure Data Factory, the easiest cloud-based hybrid data integration solution at an enterprise scale. Build data factories without the need to code.

  2. An easy to use, powerful, and reliable system to process and distribute data.

  3. Talend Big Data Platform is a data integration and data quality platform built on Spark for cloud and on-premises.

  4. Sqoop is a command-line interface application for transferring data between relational databases and Hadoop.

  5. SnapLogic's Cloud Integration Platform as a Service helps to connect your data, apps and APIs faster. Get more from your big data investments with SnapLogic.

  6. Talend offers open source middleware solutions that address big data integration, data management and application integration needs for businesses of all sizes.

  7. Adverity is the best data intelligence software for data-driven decision making. Connect to all your sources and harmonize the data across all channels.

  8. Qubole delivers a self-service platform for big aata analytics built on Amazon, Microsoft and Google Clouds.

  9. Fully managed extract, transform, and load (ETL) service

  10. Seamless two-way sync between your CRM, marketing apps and Google in no time

  11. TIBCO Spotfire is a Business Intelligence (BI) solution that provides users with executive dashboards, data visualization, data analytics and KPIs push to mobile devices.

  12. The #1 Integration Cloud - Build Integrations anytime, anywhere with no coding required using Dell Boomi's industry leading iPaaS platform.

  13. Control‑M simplifies and automates diverse batch application workloads while reducing failure rates, improving SLAs, and accelerating application deployment.

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This article was published on | Author: | Publisher: SaaSHub
Categories: Data Integration, Web Service Automation, API Tools