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About Intermix.io

Intermix.io is a low-code data integration platform for building ETL and reverse ETL pipelines. It provides drag-and-drop pipeline design, CDC replication, and REST API ingestion to move data between systems like Salesforce and data warehouses. AI-driven changes and data quality checks help keep pipelines reliable, while compliance controls support regulated environments. The platform is designed for data teams that need fast, secure pipeline setup without heavy engineering. Key capabilities: Drag-and-drop ETL and reverse ETL CDC replication and API ingestion Data quality and AI-driven changes Compliance and security controls Connectors for SaaS and databases Best for: Data teams building pipelines quickly and securely.

Intermix.io Details

Vendor
Intermix.io
Year Launched
2012
Location
San Francisco, CA, United States, California
Deployment
cloud
Training Options
documentation
Countries Served
USA, Canada, UK, Australia, Japan, South Korea
Languages
English, Japanese, Korean
Users
Data Analysts, Data Engineers, Business Intelligence Developers
Industries Served
Financial Services, E-commerce, Healthcare, Retail, Technology, Media
Tags
Application Performance Management, Intermix, Performance Monitoring, Data Integration, Data Pipelines, Data Warehouse, Data Management

Intermix.io's In-App Market Place

Does Intermix.io have an in-app market place?

Yes

How many Mini-Apps in the marketplace?

1

Mini Apps

NA

Pricing Options

Free trial
Free version
Request a quote
Promo Offer

Accepted Payment Currencies

USD, EUR, GBP, JPY

Pros & Cons

  • User-Friendly Interface: Intuitive low-code platform ideal for teams with varying technical expertise.
  • AI Transformations: Automatic transformations and workflows powered by AI.
  • Extensive Customer Support: 24/7 support with personalized onboarding.
  • Real-Time Data Replication: 60-second CDC replication for accurate, up-to-date data.
  • Limited Native Connectors: Does not focus on offering hundreds of native connectors, prioritizes quality over quantity.
  • No Trigger-Based Pipelines: Lacks trigger or event-based pipeline automation, relying on scheduled pipelines instead.

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