Enabling a data-centric architecture

Legacy integration methods and tools add complexity and delays in getting data from warehouse-to-system.
Omnata is different, simplifying the steps and removing limits on dataset size and latency.

How it works

Handle all data sizes

Cloud platforms are not designed to ingest large datasets leaving many external sources or analytical outputs unviable.

Minimise API calls

Near-real-time data refreshes can create API quota problems meaning most companies live with stale data.

No more delays

Batch syncs & ETL jobs create a deployment bottleneck. Operational analytics must be agile to keep up with business.

Case study:

Honeysuckle Health

"We have been able to integrate tens of millions of records of patient data effortlessly, and launch our healthcare platform in a fraction of the time that traditional approaches take."
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Misael Valdes Triana, Head of Health Program Delivery

Rated 5-stars on the Salesforce AppExchange

"Easy to use app and great engineering team at Omnata"

Steve Weberman

Salesforce Admin

"Effective & reliable connector of external Snowflake data"

Misael Valdes Triana

Consultant

"Loved the trial version from Omnata a month or so ago!"

Stephan Paquet

Director, IT Applications

NEW - dbt packages for Omnata Push

Data integration for modern architectures

Get Snowflake data into Salesforce natively

Query millions of rows in real-time without limits

Cut out expensive middleware and batch integration tools