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Use case

Data routing

Orchestrate telemetry flow automatically so each system receives the right data, in the right structure, without manual routing or scripting.

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data routing

The challenge

Send every log where it belongs

Security data often needs to go to multiple destinations: SIEM, analytics platforms, and storage. Without a unified system, teams rely on scattered scripts and manual integrations, leading to errors, duplicated data, and rising costs. Routing decisions are often inflexible, making it hard to adapt pipelines as requirements change.

The Solution

DataStream – intelligent security data pipeline platform

Context-driven routing

Routing decisions are driven by security context – source type, dataset, severity, and normalized fields. This ensures that logs are consistently directed to the right destinations: critical alerts – into SIEM, audit trails – into storage, and aggregated data – into analytics platform.

Multi-destination delivery

DataStream can send the same log to detection, analytics, and compliance systems in parallel, without duplication or extra effort.

Adaptive policies

Routing rules can be updated instantly without downtime. Policies adapt to changes in infrastructure, detection needs, or compliance requirements, keeping pipelines flexible and future-ready.

Routes for every level of complexity

Connect a source to a destination on a visual canvas in a few clicks. For complex flows, advanced routes classify events and send each one to the right destination, table and schema.

Key benefits

Why this approach works

Cut ingestion
costs

Send only the right data to the right place, avoiding redundant SIEM ingestion

Improve
visibility

Every destination receives complete, normalized data

Simplify
operations

Centralized policies replace scattered scripts and manual integrations

Assure
compliance

Sensitive or regulated logs are routed directly into secure long-term storage

datastream – data routing

Supported environments

One platform, no puzzle to assemble

DataStream’s ready-to-use vendor packs eliminate manual setup, so you don’t need custom scripts or multiple tools just to route data to the right destination.

Frequently asked questions

Which destinations does DataStream route to?

DataStream routes to SIEMs, data lakes, analytics platforms and storage. Common destinations include: SIEMs such as Microsoft Sentinel, Splunk, Google SecOps, Elastic Security, IBM QRadar, CrowdStrike Falcon Next-Gen SIEM and more. Data lakes such as Sentinel data lake, Amazon Security Lake, Azure Data Explorer, Google BigQuery, Snowflake, etc. Storage such as Amazon S3, Azure Blob Storage, Google Cloud Storage and more. Analytics platforms such as Databricks, ClickHouse, Elasticsearch, etc. The same event can go to several destinations at once. The full list is on the integrations page.

Which schemas and formats does DataStream support?

DataStream normalizes natively to ASIM, CommonSecurityLog, OCSF, ECS, CIM and UDM. It handles common log formats, including CEF, LEEF, Syslog, JSON, GELF, OTLP and Parquet. Each destination receives data in the schema it expects.

Does DataStream support OpenTelemetry?

Yes. DataStream receives and sends logs, metrics and traces over OTLP. Data follows OpenTelemetry semantic conventions, so OTel-based tools read it without extra mapping.

Does routing introduce latency?

Routing happens inside the streaming engine with sub-millisecond overhead.

How does routing help with compliance?

Compliance-relevant data can be automatically routed to secure, long-term storage with audit-ready guarantees and timestamp integrity.

Can routing rules be changed on the fly?

Yes. Policies can be adjusted dynamically without downtime or disruption to pipelines.

Do we need scripts or third-party tools to manage routing?

No. Routing policies are defined in DataStream’s low-code/no-code interface, so you can configure them without maintaining custom scripts.

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