Build the Data Foundation for Enterprise AI at Scale
Unify streaming pipelines, open lakehouse, and autonomous AI agents on one governed, enterprise-grade platform.
The Dataverses Next-Gen Intelligence Platform
Empowering your organization to build and deploy AI-driven solutions at scale.
Real-Time Intelligence
Unlock instant insights from streaming data without sacrificing accuracy or governance. Process events as they happen and act in the moment.
Democratize Data Access
Empower every team member to explore and analyze data using intuitive tools and natural language, bridging the gap between data and decision-makers.
Reduce Complexity
Consolidate your data stack into one unified platform. Eliminate silos, reduce maintenance overhead, and significantly cut infrastructure costs.
Streaming Data Lakehouse + AI
Enabling your organization to create and launch AI-powered solutions that scale.
The fully managed streaming data lakehouse for data & AI engineers - declarative pipelines, notebooks, data catalog, and agent tooling on one governed platform.
Declarative Pipeline
Build reliable, continuous data pipelines with simple YAML that automatically scale, monitor, and maintain full lineage.
ExploreData Catalog
Discover, understand, and govern every data asset with intelligent search, lineage tracking, and automated metadata.
ExploreDataverses Notebooks
Collaborate on data science and AI in real-time notebooks wired directly into your pipelines.
ExploreMulti-Cloud
Run one unified platform across AWS, Azure, and GCP with cloud-agnostic pipelines and smart workload placement.
AgentFlow Enterprise
Build, deploy, and govern autonomous AI agents with enterprise security and an extensible tool registry.
ExploreReal-Time Streaming
Ingest and process billions of events daily on fully managed Kafka with sub-100ms query latency.
ExploreDiscover Dataverses Resources
Stay updated with the latest insights, best practices, and technical deep-dives from our data engineering and analytics experts.
Beyond the Google Analytics Dashboard: Real-Time Analytics and AI on Your Customer Data
SME vs. Enterprise Data Architecture: Why You May Not Need Databricks to Build a Great Lakehouse
DuckDB on Apache Iceberg: Why It Is Fast, Where It Shines, and Where It Does Not
Announcing Apache Spark 4.2.0: Geospatial Intelligence, First-Class CDC, DSv2 Transactions, and Arrow-Powered PySpark
Get to know Dataverses
Dataverses delivers the Intelligent Data Cloud — a unified data intelligence platform where organizations transform raw streams into real-time intelligence and autonomous action at near-unlimited scale. Enterprises eliminate data silos, democratize access, and deploy AI agents and analytic workloads with effortless precision — across cloud and on-premises in a single, seamless experience.
You can try Dataverses for free or explore live demos from the contact page. A production-ready workspace is provisioned in minutes — just connect a source and the lakehouse, pipelines, and dashboards are set up automatically.
A data lakehouse is a storage architecture that combines a data lake's flexibility with a data warehouse's performance and ACID transactions. The Dataverses lakehouse adds schema evolution, time travel, and unified structured and unstructured storage.
Zero-ETL streaming is real-time data ingestion without manual pipeline development. Dataverses uses change data capture (CDC) to replicate updates from PostgreSQL, MongoDB, AWS, and 50+ sources — making data queryable within milliseconds of change.
Seraphis is Dataverses' built-in AI agent that turns natural language into real data work. Ask it to write code, query data, build dashboards, create reports, or automate workflows, and it executes directly on your live lakehouse. No setup, no pipelines, no code required. Just describe what you need and Seraphis delivers.
A streaming data platform processes and analyzes data continuously as it arrives, enabling real-time use cases like fraud detection, customer 360, personalized recommendations, and operational monitoring. Dataverses delivers this through its Intelligent Data Cloud, combining real-time ingestion, lakehouse storage, and AI analytics on one governed, enterprise-grade infrastructure.
Dataverses makes building data pipelines for AI easy and scalable with declarative pipelines and AI agents. Define your pipeline in plain language, and the platform handles ingestion, transformation, and storage from 50+ sources into a lakehouse. Built-in data quality and governance ensure AI agents always work on fresh, trusted data, so teams can focus on building models instead of managing infrastructure. Learn more about data workflows.