How It Works

From Source to Destination,
One Platform

A Data Stream is the end-to-end flow your data takes from sources through processing to your destination. Datastreamer manages every stage: ingestion, enrichment, transformation, and delivery.

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The Data Stream

Every Data Stream has five stages.

Datastreamer orchestrates the full journey. You configure what you want. The platform handles the rest.

1
Stage one
Sources
Where your data comes from. Social media, news, web content, reviews, financial feeds, and more. 284 pre-built sources available out of the box.
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2
Stage two
Transformation
Raw data is normalized into Datastreamer's 493-field unified output schema. Every source outputs the same structure, so downstream tooling never changes.
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3
Stage three
Enrichment
Optional AI and NLP operations applied inline: sentiment analysis, named entity recognition, emotion classification, language detection, PII redaction, and 30+ more.
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4
Stage four
Workflow
Routing, filtering, branching, deduplication, and custom functions sit between stages. The pipeline wires everything together without custom integration code.
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5
Stage five
Destination
Processed data is delivered to wherever your team works. BigQuery, Snowflake, Databricks, S3, Elasticsearch, webhooks, and more, all fully managed.
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Two Product Paths

Choose the right model
for your team.

Both paths use the same processing and pipeline infrastructure. The difference is how data sources are managed.

Primary
Data Streams
You configure what data you want and where it goes. Datastreamer handles provider selection, scheduling, failover, and processing automatically.
No vendor relationships to manage
Automatic failover across providers
DVU-based pricing with source-agnostic commits
Start collecting data the same day
All sources maintained and updated by Datastreamer
Best for: teams that want fast time to value without managing vendor relationships or procurement.
Advanced
Direct Integrations
Connect specific vendors using your own API credentials. Full control over provider selection, configuration, and cost management.
Bring your own API keys and contracts
Full control over provider selection
Per-component pricing model
Deep customization at the connector level
Uses the same pipeline and enrichment infrastructure
Best for: teams with existing vendor relationships, specific procurement requirements, or the need for deep provider customization.
Why Teams Choose Datastreamer

The platform built for
intelligence products.

Building and maintaining data connectors is undifferentiated work. Datastreamer was designed to take that off your engineering team's plate permanently.

Fast time to value
Most teams are collecting production data within days. No connector build cycles, no infrastructure setup, no vendor onboarding. Start with the sources you need, add more any time.
No vendor management overhead
Data Streams handles provider selection, API changes, rate limits, and failover automatically. When a provider has downtime, Datastreamer routes around it. Your pipeline keeps running.
Infinitely composable
Add sources, swap enrichments, or re-route output without re-architecting downstream systems. The 493-field unified schema means your queries stay the same regardless of which sources you add.
Get Started

Ready to build your first Data Stream?

Talk to our team. We'll help you design the right configuration for your use case and get you running with the sources you need, fast.

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Used by market-leading intelligence platforms. Supported by a dedicated success team.