Data Engineering Products

A 7-Year Leader: Gartner 2020 Magic Quadrant for Enterprise iPaaS

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OUR APPROACH TO DATA ENGINEERING

The Benefits of Intelligent Data Engineering

Best explosive data growth with intelligent, scalable data engineering in the cloud, powered by CLAIRE

Simplify operations with serverless

Advanced serverless deployment option with integrated metering dashboard cuts admin overhead.

Improve productivity with automation

Rapidly build intelligent data pipelines with CLAIRE®-powered automation, including automatic change data capture (CDC)

Scale to handle petabytes of data

Ingest thousands of databases and millions of files, and streaming events.

Modernize Analytics with Data Engineering in the Cloud

Unleash the full Power of Data

Accelerate time-to-value ROI with self-service access to trusted, high quality data.

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Customer Success

Shire Pharmaceuticals implemented a next-gen iPaaS and data analytics to speed therapy development for rare diseases.

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Future-proof reference architectures for modern data integration

Reference architectures for sustainable data engineering solutions

Architecting for Cloud Data Warehouse and Data Lakes

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DATA ENGINEERING PRODUCTS

Explore our data engineering solutions

AI-powered data engineering in the cloud delivers the trusted, high quality data your analysts and data scientists need to transform business.

Cloud Mass Ingestion

Efficiently ingest databases, files and streaming data for real-time data replication and streaming analytics.

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Cloud Data Integration

Intelligent, automated, high performance, multi-cloud data integration at scale

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Cloud Data Quality

Quickly identify, fix and monitor data quality problems in cloud and on-premises business applications.

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Enterprise Data Catalog

Find and inventory all data assets throughout your organization.

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Data Prep

Discover how easy it is to prepare your data across clouds with a cloud-native data preparation solution.

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ANALYST REPORTS, EBOOKS, AND MORE

Essential resources for data engineering

The impact of data engineering - 7 critical capabilities of data engineering

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MLOps: How to Operationalize Machine Learning Models in 5 Steps

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How Change Data Capture Speeds Decision-Making and Lowers Operational Costs

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Cloud-Ready Data Engineering for AI and Analytics in Government Agencies

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