CORE
Prepare the data.
Core receives incoming data and transforms it in flight from its source form into structured, preprocessed data for downstream use.
CLARASTREAM FLOW
Prepare the data. Keep it moving.
ClaraStream Flow brings ClaraStream Core and ClaraStream Stream together in one integrated offering.
Core transforms incoming data from its source form into structured, preprocessed data. Stream makes that prepared data available as a near-real-time, continuous stream for downstream subscribers.
Flow Standard for Syslog is available to qualified organizations through controlled evaluation access. General availability is planned on or before November 1, 2026.
Core + Stream = Flow
COREData preparation
+STREAMContinuous distribution
=FLOWIntegrated offering
THE FLOW ARCHITECTURE
Preparation and distribution, working together.
Flow combines two distinct ClaraStream functions:
STREAM
Make the prepared data continuously available.
Stream publishes the prepared data as a near-real-time, continuous stream that can serve multiple downstream subscribers at the same time.
CLARASTREAM COREData preparation
+CLARASTREAM STREAMContinuous streaming and distribution
=CLARASTREAM FLOWIntegrated offering
Prepare once. Use many.
THE ARCHITECTURAL CHANGE
Prepare the data once. Stop rebuilding the path for every use.
When downstream applications independently collect and prepare the same underlying data, each new use can add another path, another preparation step, and more infrastructure work.
Flow moves data preparation into a shared path and makes the resulting prepared data continuously available.
Instead of rebuilding the upstream collection and preparation process for every downstream use, multiple subscribers can consume the prepared stream at the same time.
LISTEN. TRANSFORM. STREAM.
From incoming data to a continuously available prepared stream.
LISTEN
Receive incoming data.
Core receives data as it enters the ClaraStream data path.
TRANSFORM
Prepare it in flight.
Core transforms the incoming data from its source form into structured, preprocessed data.
STREAM
Make it continuously available.
Stream publishes the prepared data as a near-real-time, continuous stream for downstream subscribers.
DATA IN SOURCE FORM
→CLARASTREAM COREListen · Transform
→PREPARED DATA
→CLARASTREAM STREAM
→CONTINUOUS PREPARED DATA STREAM
→DOWNSTREAM SUBSCRIBERS
CURRENT PRODUCT
Flow Standard for Syslog
Flow Standard for Syslog applies the Flow architecture to Syslog data.
Core receives and transforms incoming Syslog data into structured Apache Arrow. Stream then publishes that prepared Arrow data as a near-real-time, continuous stream for downstream subscribers.
SYSLOG
→CLARASTREAM CORE
→APACHE ARROW
→CLARASTREAM STREAM
→CONTINUOUS PREPARED DATA STREAM
This is the current data-specific Flow implementation. Other data types would use ClaraStream products developed for those inputs.
STANDARD EDITION
Flow Standard for Syslog
Flow Standard for Syslog combines ClaraStream Core Standard and ClaraStream Stream Standard for a single-instance ClaraStream deployment.
It provides ClaraStream data preparation and continuous streaming for environments where one Flow instance meets the deployment requirement.
CLARASTREAM CORE STANDARD
+Software-based Syslog data preparation.
CLARASTREAM STREAM STANDARD
Continuous distribution of prepared data.
Short name: Flow Standard for Syslog
FLOW EDITIONS
Different editions for different deployment requirements.
FLOW STANDARD
CONTROLLED EVALUATION ACCESSFlow Standard for Syslog
Single-instance deployment combining ClaraStream Core Standard and ClaraStream Stream Standard.
FLOW ENTERPRISE
PLANNEDClaraStream Flow for Syslog, Enterprise Edition
Designed for larger server environments requiring multi-node deployment, higher availability, redundancy, expanded security, and encryption capabilities.
FLOW DATA CENTER
PLANNEDClaraStream Flow for Syslog, Data Center Edition
Designed for multitenant data-center environments.
DOWNSTREAM USE
The same prepared stream can serve many subscribers at the same time.
Flow prepares the data once, then makes that prepared stream available to multiple downstream subscribers concurrently.
Representative downstream uses include:
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 recreating the 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.
Each subscriber uses the data according to its own purpose, while Flow remains focused on preparing the data and keeping it moving.
ADDITIONAL OUTPUTS & CONNECTIONS
Use the prepared Flow stream where you need it.
ClaraStream Flow Standard for Syslog prepares incoming Syslog data through Core and distributes the prepared stream through Stream.
The current release supports Apache Arrow and includes JSON output and an Elasticsearch connector for downstream use.
These capabilities are included with the current Flow product. They do not change the role of Core, which continues to produce prepared data in Apache Arrow.
PREPARED FLOW STREAM
DEPLOYMENT
Your Flow deployment stays within the infrastructure you control.
ClaraStream Flow is deployed within your environment.
ClaraStream does not ingest, host, or process your Flow data through a ClaraStream SaaS service.
ClaraStream does not take custody of your data.
Data moves through Core and Stream within the infrastructure you control and on to the downstream destinations you choose.
Your infrastructure. Your data. ClaraStream software.
GET CLARASTREAM FLOW
Put ClaraStream Flow to work in your environment.
Prepare incoming data once and make it continuously available wherever it is needed.