Data Virtualization
Every new analytical question seems to demand a new ETL job, a new warehouse table, and a fresh argument about who owns the freshness. 3forge lets business users and analysts query across real-time streams and resting databases through a single governed interface, with no extra copy, no nightly load, and no separate semantic layer that drifts out of date.
The Challenge
Every Question Asks for Another Copy of the Data
When the only way to combine sources is to land them in a warehouse, every new analytical question creates another copy, another ETL, another freshness contract, and another team to argue with. Real-time streams rarely make it in at all, so any question that touches live data ends up running against yesterday's projection.
Warehouses cannot keep up with live
Loading streams into the warehouse is either too slow to be useful or too expensive to scale. Analysts asking real-time questions hit a layer that simply does not have the data yet.
Copies multiply, governance suffers
Each downstream copy is a new place that has to be secured, masked, and audited. Provisioning the same dataset to three teams becomes a quarterly compliance exercise.
Per-source query languages
Joining Kafka with Oracle with a vendor API forces analysts to learn three tools and stitch the answers in a spreadsheet. The value lives in the cross-source view, but the friction kills it.
Self-service runs into IT
Business users asking for a small cross-source dataset have to file a ticket, wait for an ETL change, and accept the delay. The work that should take an afternoon takes six weeks.
The 3forge Approach
One Query Surface Over Streams and Stores
3forge presents every connected source, messaging topics, relational databases, vendor APIs, files, and internal services, as a uniformly queryable data model. Business users issue SQL-like queries that join across sources, with the Data Gateway pushing predicates down to each system and combining the results in memory. Live and resting data return in the same answer set, governed by the same access policies, with no physical copy and no separate semantic layer.
Key Capabilities
What You Can Build with 3forge
Federated Query Across Sources
Join messaging streams, relational databases, vendor APIs, and files in a single SQL-like query, with predicate pushdown to each connected system.
Live and Resting in One Result
Combine streaming and at-rest data in the same answer set, with explicit handling of freshness and consistency boundaries.
No Physical Copy
Avoid duplicating data into a warehouse. Authoritative records stay in their systems of record and remain governed by their owners.
Governed Access
Apply row-level, column-level, and entitlement-based controls in the virtualization layer, so the same query returns different results to different users by policy.
Analyst Self-Service
Let business analysts compose cross-source queries from the workbench without filing a ticket, with results that respect every governance rule.
Selective Materialization
Cache hot sub-queries in the column store when latency matters, and leave the rest virtual, with cache freshness controlled per query.
Get started
Ready to see it live?
Book a 30-minute demo with a 3forge solutions engineer and run a federated query across a representative mix of your sources.