DataStream Reviews

DataStream collects telemetry through agentless, read-only connections over WinRM and SSH, with optional agents for deeper visibility. It parses raw logs and normalizes them into standardized schemas including ASIM, OCSF, ECS, CIM, and UDM. Context-aware filters remove low-value events, so only relevant data hits the SIEM. Other logs route to analytics platforms or low-cost storage in parallel. A vectorized pipeline engine processes data across all CPU cores for high throughput at low latency. Write-ahead logging maintains data integrity and supports crash recovery without external systems like Kafka.

What are the key features of DataStream?

• Agentless collection: Ingests telemetry from servers, network devices, endpoints, and applications over read-only WinRM and SSH connections. Optional agents available.
• Automated normalization: Parses logs and maps them to ASIM, OCSF, ECS, CIM, and UDM without custom scripts or manual field mapping.
• Enrichment: Adds user identity, geo-location, device, and application context to events.
• Context-aware filtering: Classifies logs and drops non-essential fields and events before ingest.
• Intelligent routing: Sends critical logs to the SIEM, hunting data to analytics platforms, and archives to storage, each in the correct format.
• Vectorized pipeline engine: Uses all CPU cores for parallel batch processing.
• 170+ no-code processors: Builds and edits pipelines using Elastic Ingest Pipeline syntax.
• Zero-loss architecture: Write-ahead logging and built-in crash recovery protect data during interruptions.
• Correlation IDs: Links related events across SIEM and storage for faster investigations.

What benefits should users expect from DataStream?

• Lower SIEM costs: Filtering and compression cut ingest volume by up to 90%.
• Higher data quality: Normalized, enriched logs improve detection accuracy and reduce false positives.
• Less manual work: Automated parsing and normalization replace custom scripts and field mapping.
• AI-ready data: Consistent schemas and clean fields give AI-driven detection and analytics reliable input.
• Faster deployment: Agentless connections go live in under 30 minutes with no system restarts.

Who uses DataStream?

DataStream serves enterprise SOC teams and MSSPs. Enterprise security teams use it to control telemetry volume and cost across Microsoft Sentinel, Elastic, Splunk, and other SIEM platforms. MSSPs use it to normalize logs across many tenants without building custom pipelines for each one. It fits environments with high log volume, multiple data formats, and rising SIEM ingest bills.