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Hyperfluid 2.0 is live console.hyperfluid.cloud
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 federates PostgreSQL, your Iceberg tables and S3 object storage into a single queryable base, and is fed through the Open Data, Google Drive and Email connectors.

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Hyperfluid Data Hub interface: SQL engine and connected source catalogs

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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

Multi-source federation

PostgreSQL

Relational databases

Apache Iceberg

Lakehouse tables

S3

Object storage

MySQL

Relational databases (coming soon)

MongoDB

NoSQL (coming soon)

Elasticsearch

Search (coming soon)

Ingestion connectors

Open Data

23 public datasets, one-click import into Iceberg

Google Drive

File synchronization

Email

IMAP attachments into your S3 storage

Open data, files and emails feed your Iceberg tables and S3 buckets with no pipeline to write. More federation sources are coming soon.

Explore the connectors

Specifications

Federation

PostgreSQL, S3, Iceberg

SQL Engine

Distributed Trino

Ingestion

Open Data, Google Drive, Email

Cross-source

Multi-source joins

S3 Buckets

Bronze, silver, gold in one click

Dataset Branching

Roadmap

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

Open data into Iceberg, Google Drive files and email attachments into S3: connectors feed your queryable lakehouse

Ingestion without pipelines

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 Federate PostgreSQL, Iceberg and S3 in the Trino SQL engine
  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.

Dataset branching

Branch your datasets to experiment safely (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