NEW VERSION 2.0

Welcome to lorem inc.

Ingest streams, transform with SQL, andmaterialize fresh results instantly.
Start building
Documentation
Trusted by engineering teams at

Intelligent clustering via
semantic context

Our cutting-edge engine groups incoming data streams by context using vectorembeddings, allowing for automated classification and routing.
Automated Classification
Reduce engineering time by tagging events based on semantic meaningand recurrence patterns.
Granular Control
Reduce engineering time by tagging events based on semantic meaningand recurrence patterns.
Filter Rules
Where
region
And
latency
Or Group
Where
status

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 cancreate pipelines directly from your cloud providers, SaaS platforms, orcustom event emitters without managing complex schema registries.
Explore integrations
Ingestion Sources
Stream Processing
POST /v1/ingest/webhook
{"source":"stripe", "event":"charge.failed", "amount":490…
24ms
NORMALIZER
Filter Rules
failed_payment_event
id: evt_1N4k... • queue: retry-high
24ms

Get pro help from handpicked experts

Get matched
Get matched

Data Pipeline Automation

Automated ETL workflows for enterprise scale.
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

Ready to unify your

data stack?

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