Powering real-time AI and analytics at scale
Most enterprise data architectures were designed to prepare historical data for people to analyze. AI agents and applications increasingly consume and act on data directly, making data freshness, governance and availability production requirements.
A Streamhouse is a data architecture that continuously captures, transports, transforms, governs and serves the current state of a business so applications, analytics and AI agents can act on it.
Capture, process and govern business changes as they happen so applications and AI agents can work with data at the freshness their workload requires.
Support business-critical applications, analytics and AI agents with an architecture designed for continuous operation and recovery.
Process and govern data across applications, clouds and operational systems without requiring everything to be centralized first.
A Streamhouse works alongside your lakehouse
Unlike approaches that make a lakehouse or real-time data lakehouse the required destination, a Streamhouse can make governed current state available across operational, analytical and AI consumers.
| Lakehouse or warehouse | Streamhouse |
|---|---|
| Historical analysis and business intelligence | Operational applications and AI agents |
| Large analytical scans and model training | Continuously changing business state |
| Data commonly becomes usable after landing and processing | Data is processed, governed and served as events occur |
What a Streamhouse helps you achieve
Build a Streamhouse with IBM Confluent
IBM Confluent Data Streaming Platform (DSP) brings together streaming, connectivity, processing, governance, and real-time querying in one integrated platform.
Capabilities
- Stream
- Connect
- Process
- Govern
- Query
Cloud-Native Kafka
Deliver unparalleled reliability with IBM Confluent Cloud’s 99.99% uptime SLA, support GBps+ workloads with elastic scaling.
150 pre-built connectors
Connect databases, SaaS applications, on-prem systems and modern cloud services with prebuilt and fully-managed Kafka connectors across your entire ecosystem.
Native governance suite
Ensure your applications act on trusted, secure and compliant data through built-in governance and data quality tools.
Integrated stream processing
Process and transform data in real time at scale with fully-managed Apache Flink®, enabling low-latency analytics, cloud-native applications and responsive AI.
Query your data
Give AI agents and real-time applications direct access to fresh, governed data with continuously updated tables and queries, without the complexity of building and managing separate serving systems.
