RECEIVE
Accept prepared data.
Stream receives data that has already been structured and preprocessed for downstream use.
CLARASTREAM STREAM
Keep prepared data moving.
ClaraStream Stream publishes freshly prepared data as a near-real-time, continuous stream for downstream subscribers.
Instead of each application creating another independent path to the same data, Stream makes prepared data continuously available for multiple downstream uses.
One prepared stream. Multiple uses.
PREPARED DATA
CLARASTREAM STREAMPUBLISH · DISTRIBUTE
MULTIPLE DOWNSTREAM SUBSCRIBERS
CONTINUOUS DISTRIBUTION
Publish once. Subscribe where the data is needed.
Stream provides the continuous distribution function within the ClaraStream Data Movement Plane™ architecture.
PUBLISH
Make the prepared data continuously available.
Stream publishes the prepared data as a near-real-time, continuous stream.
SUBSCRIBE
Let multiple downstream subscribers use the same prepared stream.
Downstream subscribers consume the data they need and use it for their own purpose.
Prepare once. Use many.
THE ARCHITECTURAL CHANGE
Every downstream use should not require its own path to the same data.
When each application or downstream use creates its own collection and preparation path, the same underlying data is handled repeatedly.
ClaraStream Stream makes the same prepared stream available to multiple subscribers at the same time, without requiring each subscriber to recreate the upstream path for that data.
MULTIPLE SUBSCRIBERS
THE STREAM
Prepared data in. Continuous stream out.
Stream receives prepared data and publishes it continuously for downstream subscribers.
The subscriber determines what happens next. Stream does not need to know whether the data will be used by an application, AI system, AI Agent, analytics platform, operational workflow, storage platform, person, or another downstream use.
PREPARED DATA
CLARASTREAM STREAMPublish · Distribute
CONTINUOUS STREAM
DOWNSTREAM SUBSCRIBERSNear-real-time · Continuous · Available for multiple uses
CURRENT PRODUCT
Apache Arrow is the native prepared-data format.
ClaraStream Stream receives prepared Apache Arrow data and publishes it as a near-real-time, continuous stream for downstream subscribers.
Apache Arrow is the native prepared-data format passed from ClaraStream Core or ClaraStream Edge into ClaraStream Stream.
Downstream subscribers can consume the prepared stream directly or use ClaraStream integrations where another format is required.
PREPARED APACHE ARROW DATA
CLARASTREAM STREAM
CONTINUOUS PREPARED DATA STREAM
SUBSCRIBER MODEL
One prepared stream can serve many subscribers at the same time.
The same prepared stream can serve hundreds of concurrent subscribers, allowing AI / ML, AI Agents, applications, analytics and operations, storage and data platforms, and other downstream uses to consume the data at the same time.
Each subscriber uses the data for its own purpose without requiring another independent collection and preparation path.
Representative downstream uses:
AI / ML
Use fresh, prepared data as an input to models, inference workflows, and AI-enabled applications.
AI AGENTS
Give agentic systems access to current, prepared data they can use in context.
APPLICATIONS
Consume prepared data without creating another independent upstream collection and preparation path.
ANALYTICS / OPERATIONS
Use current, prepared data for analysis, monitoring, decision support, and operational workflows.
STORAGE / DATA PLATFORMS
Store subscribed data for historical access, retention, downstream retrieval, or reuse.
OTHER DATA USES
Use prepared data for other downstream systems, workflows, services, people, and uses as requirements evolve.
ONE PREPARED STREAM
MANY SIMULTANEOUS SUBSCRIBERS
STREAMING AND RETENTION
Keep the data moving. Store it where history belongs.
ClaraStream Stream provides a near-real-time, continuous stream of freshly prepared data.
It is not the historical system of record.
Subscribers that require long-term retention can store the data in the storage layer designed for that purpose.
This keeps Stream focused on continuous distribution while allowing storage and data platforms to manage historical retention according to their own requirements.
DEPLOYMENT
Your stream stays within the infrastructure you control.
ClaraStream Stream is deployed within your environment.
ClaraStream does not ingest, host, or process your Stream data through a ClaraStream SaaS service.
ClaraStream does not take custody of your data.
Prepared data moves through the Stream software deployed in your infrastructure and on to the downstream destinations you choose.
Your infrastructure. Your data. ClaraStream software.
PREPARATION + DISTRIBUTION
Prepared data in. Stream keeps it moving.
Within the ClaraStream architecture, Core and Edge prepare the data. Stream makes that prepared data continuously available for downstream use.
PREPARED DATA
CLARASTREAM STREAM
Near-real-time, continuous streaming and distribution
When Core and Stream are delivered together, they form the ClaraStream Flow bundled production offering.
BUNDLED PRODUCTION OFFERING
Core + Stream = Flow
ClaraStream Flow combines Core for data preparation with Stream for continuous streaming and distribution.
Flow provides the bundled production offering for customers who want both functions delivered together.
CLARASTREAM COREData preparation
+CLARASTREAM STREAMContinuous streaming and distribution
=CLARASTREAM FLOWBundled production offering
USAGE-AGNOSTIC
Stream the data. Let the subscriber decide what comes next.
ClaraStream Stream does not determine how the data must ultimately be used.
The same prepared stream can support hundreds of concurrent subscribers across AI / ML, AI Agents, applications, analytics and operations, storage and data platforms, and other downstream uses at the same time.
Each subscriber uses the data according to its own purpose.
That keeps Stream focused on its role: making prepared data continuously available.
GET CLARASTREAM
Put ClaraStream Stream to work in your environment.
Make freshly prepared data continuously available wherever it is needed.