DataSphere unifies your entire data infrastructure — ingestion, transformation, and intelligence — in a single, real-time platform built for enterprises that can't afford to be slow.
Everything your data team needs to ingest, process, and activate data — without stitching together a dozen tools.
Connect to 300+ data sources in minutes. Streaming or batch — DataSphere handles both with zero configuration drift.
Learn more →AI-assisted SQL generation, dbt-native transformations, and lineage tracking that shows exactly how every metric is computed.
Learn more →Define metrics once. Query everywhere. Our unified semantic layer ensures consistent definitions across BI, ML, and product analytics.
Learn more →Run natively on AWS, GCP, and Azure. Replicate data across regions with sub-second lag and automatic conflict resolution.
Learn more →ML-powered anomaly detection that learns your data patterns and alerts you before downstream dashboards break.
Learn more →Column-level access controls, automated PII detection, and SOC 2 Type II certified infrastructure — security built-in, not bolted on.
Learn more →DataSphere's event-driven pipeline processes millions of records per second, keeping every downstream system perfectly synchronized.
Whether you're building a customer data platform or training production ML models, DataSphere scales to your workload.
Stitch together behavioral, transactional, and third-party data into a unified customer profile — updated in real time. Power hyper-personalization, churn prediction, and LTV modeling at enterprise scale.
Sub-second queries over billions of rows. DataSphere's vectorized execution engine delivers BI-speed answers on raw event data — no pre-aggregation required.
A centralized feature registry with point-in-time correctness, online/offline parity, and automated feature drift detection for production ML pipelines.
Evaluate thousands of risk signals per transaction in under 5ms. Native support for graph traversal, sequence models, and regulatory reporting workflows.
Domain-oriented data ownership with federated governance policies. DataSphere acts as the interoperability layer across your entire data mesh architecture.
DataSphere integrates natively with the tools your team already uses — no rip-and-replace required.
DataSphere cut our data warehouse costs by 60% while improving query performance tenfold. The semantic layer alone saved us three months of engineering work.
We moved our entire ML feature pipeline to DataSphere in six weeks. The point-in-time correctness guarantees eliminated training/serving skew across all our production models.
The anomaly detection caught a critical schema break before it hit our dashboards. That single alert saved us from an incident that would've taken days to triage manually.
No egress fees. No surprise bills. Pay for what you process.
Join 2,400+ engineering and data teams who moved from fragile pipelines to DataSphere's unified intelligence platform. Setup takes 15 minutes.