NEW VERSION 2.0

Orchestrate live insights

Ingest streams, transform with SQL, and materialize fresh results instantly.

Trusted by engineering teams at

Intelligent clustering via semantic context

Our cutting-edge engine groups incoming data streams by context using vector embeddings, allowing for automated classification and routing.

Automated Classification

Reduce engineering time by tagging events based on semantic meaning and recurrence patterns.

AI Tagging
Words Tag
groups keywords
by context
by repetition
Latency High API Timeout DB Lock

Granular Control

Apply filters and boolean operators to refine your data views instantly.

Filter Rules 4 active
Where
region
=
us-east-1
And
latency
>
500ms
Or Group
Where
status
in
[500, 502]

Centralize your data ingestion

Capture telemetry across any infrastructure interaction—from server logs to API webhooks—and normalize it into a single structured stream linked to your data warehouse.

Nexastream integrates seamlessly with the tools you already use, so you can create pipelines directly from your cloud providers, SaaS platforms, or custom event emitters without managing complex schema registries.

Ingestion Sources Stream Processing

POST /v1/ingest/webhook

24ms

{"source":"stripe", "event":"charge.failed", "amount":4900}

NORMALIZER
Production Database
failed_payment_event id: evt_1N4k... • queue: retry-high
Q4 2024
17

Get pro help from handpicked experts

Data Pipeline Automation

Automated ETL workflows for enterprise scale.

Snowflake dbt
Streamline Studio
Berlin, Germany

Real-time Analytics

Low-latency dashboards for fintech.

ingest_rate: 50k/s
latency: <10ms
buffer_overflow: false
DataOps Labs
San Francisco, US
Webhook Listener
Pipeline Pros
London, UK
Query Result JSON
{   "id": "evt_293",   "status": "processed",   "enrichment": {     "geo": "US-West"   } }
Query Masters
Toronto, Canada

Ready to unify your data stack?

Join engineering teams at high-growth companies who trust Nexastream for mission-critical data ingestion.