Analytics Migrations

Save time and cost by migrating to fully managed analytics solutions

Migration tools

Database Freedom is a unique program designed to assist in migrating to AWS database and analytics services. With the program, we help you manage and reduce licensing commitments from legacy vendors, provide expert advice and tools to re-factor your solutions and applications, and fund and incentivize migrating in a cost-neutral way.

For qualified customers, the Database Freedom program offers:

Expert advice

Guidance through the Proof of Concept (POC) and migration process.

Tooling

Hands-on assistance through a combination of the following: AWS Partners or AWS Professional Services.

Financial incentives

Funding to accelerate progress at all stages of a migration.

Program services

Elasticsearch and OpenSearch Migrations

Managing on-premises Elasticsearch, OpenSearch, or other search and analytics solutions is complicated, resource intensive, and expensive. In addition to providing managed open source Elasticsearch and Kibana (versions 1.5 to 7.10), OpenSearch, and OpenSearch Dashboards, Amazon OpenSearch Service includes a full range of advanced capabilities such as the scalable storage tier UltraWarm, fine-grained access control, anomaly detection, alerting, remote re-indexing, ML-backed search result ranking, trace analytics, and more.

Data Warehouse Migrations

Moving to a cloud data warehouse like Amazon Redshift liberates your analytics from limitations. You can run queries across petabytes of data in your data warehouse and extend into your data lake, what we call a “lake house” approach. Learn more about migrating to Redshift from our self-service migration guide or get in touch with us today to learn more about how we can accelerate your migration.

Spark and Hadoop Migrations

Migrate your big data and applications. Our Apache Hadoop and Apache Spark to Amazon EMR Migration Acceleration Program provides two ways to help you get there quickly and with confidence.

Explore Service-Specific Analytics Migration Resources

  • Amazon Redshift
  • Amazon EMR
  • Amazon OpenSearch Service
  • Amazon Redshift
  • Customer migration stories

    lake_house_customers_logo_nielsen@2x

    Nielsen was running a legacy on-premise data warehouse based on Netezza until the company built a new, data-lake-based architecture with Amazon Redshift.

    Learn how Nielsen migrated to Redshift »

    logo_amazon

    Amazon.com’s on-premises Oracle infrastructure was hard to maintain and operate, so the company decided to switch to Amazon Redshift.

    Learn how Amazon.com migrated to Redshift »

     

    Intelligent_Document_Processing_Logo_Intuit

    Equinox Fitness migrated to Redshift from its Teradata on-premises data warehouse to reduce time-to-insight and control infrastructure costs.

    Learn how Equinox Fitness migrated to Redshift »

    equinox - resized

    Intuit moved its mission-critical workloads to Amazon Redshift from its on-premises environment to speed development, innovate faster, and better solve customers’ needs.

    Learn how Intuit migrated to Redshift »

     

    re:Invent Sessions, Summits, and AWS Online Tech Talks

    AWS re:Invent 2019: Migrate your data warehouse to the cloud, featuring Nielsen
    AWS Chicago Summit 2018: How Equinox Fitness Clubs Migrated to a Modern Data Warehouse
    AWS re:Invent 2019: Migrate your data warehouse to the cloud, ft. Fannie Mae
    Practical Tips for Migrating Your IBM Netezza Data Warehouse to the Cloud
    AWS re:Invent 2019: [REPEAT 1] Migrating your data warehouses to Amazon Redshift
    Accelerate Your Analytics by Migrating to a Cloud Data Warehouse - AWS Online Tech Talks

    Customer Testimonials

    Nielsen Builds Innovative Cloud-native Data Reporting Platform on AWS
    Equinox Drives Personalized Customer Experiences with an AWS Data Lake Architecture
  • Amazon EMR
  • Customer migration stories

    ias_Logo@1x

    Learn how Integral Ad Science, a global leader in digital ad verification, migrated to Amazon EMR to take advantage of faster, more efficient cloud-based infrastructure on AWS.

    Read IAS case study »

    re:Invent Sessions and Summit

    AWS re:Invent 2018: Build Data Engineering Platforms with Amazon EMR
    AWS re:Invent 2019: Using Amazon EMR to build a Spark ecosystem at Opendoor
    AWS re:Invent 2018: Hadoop/Spark to Amazon EMR, Architect It for Security & Governance
    AWS re:Invent 2019: Migrating Apache Spark and Hive from on-premises to Amazon EMR
  • Amazon OpenSearch Service
  • Customer migration stories

    Pinterest

    Learn how migrating to Amazon OpenSearch Service allowed Pinterest to cut costs and scale more quickly and efficiently.

    Read Pintrest case study » 

    Pearson-logo-200x100-01

    Learn how Pearson quickly saw improvements by migrating from its self-managed open-source Elasticsearch architecture to Amazon OpenSearch Service.

    Read Pearson case study »

    autodesk_logo

    Learn how Autodesk, a leading provider of 3D design and engineering software, migrated to Amazon OpenSearch Service to improve its log analysis capabilities.

    Read Autodesk case study »

     

     

    compass_logo

    Learn how Compass, a global real estate company, migrated to Amazon OpenSearch Service to be able to deliver high-quality property searches and saved searches for their customers.

    Read Compass case study » 

OpenSearch includes certain Apache-licensed Elasticsearch code from Elasticsearch B.V. and other source code. Elasticsearch B.V. is not the source of that other source code. ELASTICSEARCH is a registered trademark of Elasticsearch B.V.

Take a Lake House approach with your analytics architecture

Seamlessly integrate your data lake, data warehouse, and purpose-built data stores.