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Data Integration

Data Hub

Break down organizational silos

Transform your scattered data sources into unified analytics power. Built on Trino and Apache Iceberg, Data Hub lets you query PostgreSQL, your Iceberg tables and S3 object storage as if they were a single database, with more connectors coming.

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Hyperfluid Data Connectors Hub

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Trino

Distributed and stateless SQL engine. Query your connected sources with standard SQL, without moving your data.

Apache Iceberg

Open source table format for data lakes. ACID transactions, time travel, schema evolution and optimal performance.

Connectors

PostgreSQL

Relational databases

MySQL

Relational databases (coming soon)

MongoDB

NoSQL (coming soon)

S3

Object storage

Kafka

Streaming (coming soon)

Elasticsearch

Search (coming soon)

And many more coming... 30+ connectors planned.

Specifications

Connectors

30+ planned

SQL Engine

Distributed Trino

Storage

Apache Iceberg

Cross-source

Multi-source joins

Dataset Branching

Roadmap

Auto Optimizer

Available

Use cases

Cross-source analytics

Join PostgreSQL with your Iceberg tables in a single query

Multiple sources, one SQL query

Complex KPI calculation

Advanced analytics on distributed datasets

No ETL pipeline to maintain

Unified lakehouse

All your data sources in one queryable platform

Distributed compute across your sources

In action

The impossible join

Sarah needs to join customer data (PostgreSQL) with product events (Iceberg tables)

5 min
  1. 1 Traditional approach: Extract → Transform → Load (weeks of work)
  2. 2 Hyperfluid approach: One SQL query across both sources
  3. 3 SELECT * FROM postgres.customers JOIN iceberg.events...
  4. 4 Results in seconds, without moving data

Complex analytics that took weeks, now in real-time

The KPI revolution

The finance team consolidates its monthly reporting from its PostgreSQL database, Iceberg tables and S3 exports.

On demand
  1. 1 Connect PostgreSQL, Iceberg and S3 via Data Hub connectors
  2. 2 Write SQL query covering all sources
  3. 3 Trino engine distributes computation automatically
  4. 4 Complex revenue calculation with correct attribution

Consolidated reporting, queryable in SQL, with no pipeline to maintain.

The time machine

Thanks to Iceberg, travel through time in your data (coming soon)

1 click
  1. 1 Create a dataset branch for Q3 analysis
  2. 2 Experiment with data transformations safely
  3. 3 Compare results with main branch
  4. 4 Merge successful changes or abandon experiments

Safe data experimentation without breaking production

Key benefits

Query your connected sources with standard SQL
No ETL required: analyze in place
Distributed computation for massive scale
Apache Iceberg for ACID transactions

Ready to unify your data sources?

Discover how Data Hub can eliminate your data silos.

Request a demo