Digital-native and startup organizations with large and complex datasets often invest significant resources to integrate data from multiple sources into a single repository or value chain. By using Data Integration solutions on AWS, organizations can efficiently integrate data from numerous first-party and third-party sources, facilitating collaboration, analysis, and the use of data to power critical use cases.

AWS Solutions

Ready-to-deploy solutions assembling AWS Services, code, and configurations

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  • Data Transfer Hub

    Deploy a solution that helps easily transfer data across AWS partitions.
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Partner Solutions

Software, SaaS, or managed services from AWS Partners

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  • Databricks Lakehouse Platform

    Simple, collaborative and open platform: This unified platform simplifies your data architecture by eliminating the data silos that traditionally separate analytics, data science and machine learning. It’s built on open source and open standards to maximize flexibility.
  • Snowflake AI Data Cloud

    Snowflake eliminates data silos to deliver a unified platform that makes data and AI easy, efficient, and trustworthy.
  • Teradata Vantage for AWS

    Teradata enables powerful hybrid analytical ecosystems with 100% software consistency across all deployment modes. Leverage existing investments, bring workload portability to life, and analyze any kind of data at scale wherever it resides – Amazon S3, EMR, Hadoop, Vantage itself, or other stores.
  • MongoDB Atlas

    MongoDB's expressive query language, aggregation framework, and native support for MapReduce allow users to extract near real-time business insights from their data. Both editions of MongoDB are available on AWS.
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Guidance

Prescriptive architectural diagrams, sample code, and technical content

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