Best Data Integration Tools for Optimizely One

Find and compare the best Data Integration tools for Optimizely One in 2025

Use the comparison tool below to compare the top Data Integration tools for Optimizely One on the market. You can filter results by user reviews, pricing, features, platform, region, support options, integrations, and more.

  • 1
    Segment Reviews

    Segment

    Twilio

    $120 per month
    814 Ratings
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    Twilio Segment’s Customer Data Platform (CDP) provides companies with the data foundation that they need to put their customers at the heart of every decision. Using Twilio Segment, companies can collect, unify and route their customer data into any system. Over 25,000 companies use Twilio Segment to make real-time decisions, accelerate growth and deliver world-class customer experiences.
  • 2
    MetaRouter Reviews

    MetaRouter

    MetaRouter

    $70 per month
    MetaRouter gathers user events from websites or apps and routes them to any third party tool. It also centralizes data in one place for storage, analysis, and storage. It can be set-up with one snippet (using analytics.js), so that marketers can add or remove tools through a user interface, after initial event tracking setup.
  • 3
    Peaka Reviews

    Peaka

    Peaka

    $1 per month
    Integrate your data sources including relational and NoSQL database, SaaS and APIs. You can query them immediately as a single source of data. Process data wherever you are. Data from different sources can be merged, retrieved, and cached. Use webhooks for streaming data from Kafka or Segment into the Peaka Table. Real-time data access replaces nightly batch ingestion. Treat each data source as a relational database. Convert any API into a table and combine and join it with other data sources. Use familiar SQL to run queries on NoSQL databases. The same skills can be used to retrieve data from SQL and NoSQL database. You can query and filter your consolidated datasets to create new data sets. Use APIs to expose them and serve other apps or systems. Don't get bogged down with scripts and logs when setting up your data stack. Eliminate the burdens of managing and maintaining ETL pipelines.
  • 4
    5X Reviews

    5X

    5X

    $350 per month
    5X is a data platform that offers everything you need to centralize your data, clean it, model it, and analyze it. 5X is designed to simplify data management. It offers seamless integration with more than 500 data sources. This ensures uninterrupted data movement between all your systems using pre-built connectors and custom connectors. The platform includes ingestion, warehousing and modeling, orchestration and business intelligence. All of this is presented in a simple-to-use interface. 5X supports a variety of data movements including SaaS applications, databases, ERPs and files. Data is transferred automatically and securely to data lakes and warehouses. 5X's enterprise-grade security encrypts the data at its source, identifying personally identifiable data and encrypting it at a column-level. The platform is designed for a 30% reduction in total cost of ownership compared to building a platform yourself. It also enhances productivity by providing a single interface for building end-to-end pipelines.
  • 5
    Data Virtuality Reviews
    Connect and centralize data. Transform your data landscape into a flexible powerhouse. Data Virtuality is a data integration platform that allows for instant data access, data centralization, and data governance. Logical Data Warehouse combines materialization and virtualization to provide the best performance. For high data quality, governance, and speed-to-market, create your single source data truth by adding a virtual layer to your existing data environment. Hosted on-premises or in the cloud. Data Virtuality offers three modules: Pipes Professional, Pipes Professional, or Logical Data Warehouse. You can cut down on development time up to 80% Access any data in seconds and automate data workflows with SQL. Rapid BI Prototyping allows for a significantly faster time to market. Data quality is essential for consistent, accurate, and complete data. Metadata repositories can be used to improve master data management.
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