Set up your data once. Feed every product you build.
Assemble a Data Stream one time and Datastreamer handles the sourcing, enrichment, and delivery behind it. Add new sources or shift volume as your roadmap changes, without rebuilding anything or maintaining pipelines yourself.
One setup across every source
Set your Data Stream up once and it runs the sourcing, enrichment, and delivery for all of your sources. Your team ships product features instead of building and maintaining data connectors one by one.
Add sources without starting over
Add a new source, swap an enrichment, or change a destination without re-architecting what runs downstream. Your Data Stream adapts as your product and your data needs change.
Control cost as you scale
Volume flexes with demand and pricing follows usage, so there is no over-provisioning and no surprise bills. Shift volume across your sources as needs change, all on the same setup.
Data Streams
Assemble in minutes. Deploy in seconds.
Datastreamer's component-based builder lets you wire together sources, AI enrichments, transformations, and destinations without writing integration code. What used to take months of engineering takes an afternoon.
1
Pick your sources
Choose from hundreds of pre-built sources, or connect your own data via S3, SFTP, API, or Pub/Sub.
2
Layer in enrichments
Add sentiment, entity recognition, language detection, brand classification, PII redaction, or plug in your own models.
3
Route to your stack
Deliver enriched, structured documents to BigQuery, Snowflake, Databricks, S3, Elasticsearch, wherever your team works.
Data Stream Builder: portal.datastreamer.io
Source
Twitter / X
▶
Enrichment
AI Sentiment
▶
Destination
BigQuery
● Live
Source
Reddit
▶
Transform
Entity NER
▶
Destination
Snowflake
● Live
Source
Opoint News
▶
Enrichment
Language Det.
▶
Destination
S3 Bucket
● Live
3
Active pipelines
38.6M
Docs today
3
Destinations
$0
Overages
Illustrative example. Figures shown are not performance guarantees.
ROI & Outcomes
The cost of building this yourself is staggering.
Every data connector, AI enrichment, and destination integration you build in-house is code your team has to write, test, maintain, and update every time an API changes. Here's what that actually costs.
30x
Ready-to-use components mean faster speed to market
Building, testing, and deploying even 10 to 15 production-grade social data connectors (with auth, rate limiting, schema normalization, and error handling) takes a senior data engineering team well over a year. Datastreamer ships hundreds on day one.
Based on typical data engineering velocity for production connector development.
40%
Of data engineering time is spent on maintenance, not new features
APIs break. Rate limits change. Schemas shift. Social platforms deprecate endpoints without notice. Every connector you own is a maintenance liability. Datastreamer's maintained components absorb those changes, so your engineers can focus on differentiated work.
Industry benchmark from data engineering teams at intelligence product companies.
Days
To add a new data source, not months of integration work
With Datastreamer, adding a new source is a configuration change, not an engineering project. That means product roadmap flexibility your competitors who built in-house simply don't have. You can respond to market opportunities in days, not quarters.
Average time for Datastreamer customers to activate a new source connector post-onboarding.
Upgrade one piece at a time, at your own pace. Datastreamer works alongside the stack you run today, delivering into the warehouse, lake or search you already use.
Add coverage
Bring in the sources your customers keep asking for, landed in the systems you already run.
Stabilize the brittle connectors
Start with the providers that break most. Automated routing and failover keep them running and off your on-call list.
Consolidate providers
One commitment and one unified schema instead of a contract, API and data model per vendor.
Get spend under control
Budget limits, alerts and cost per job, client and project. Protect your margins before the invoice arrives.
Add autopilot when you want it
Managed Data Streams is an option on the same platform: we support your pipelines alongside your team, and you keep full access and control.
Bring your own
Keep your existing providers, models and functions, and plug them into the same pipeline.
A proven platform to power your data infrastructure.
The same platform that powers Forrester-listed enterprise platforms. Use it to build and expand your own capabilities, or run it on autopilot.
Data Streams
Sourcing, enrichment and integration in one platform, powering the data layer under your product.
Every Auto Source under one commitment
Unified schema and enrichments built in
Delivery to your warehouse, storage or search
Portal, APIs and support from our team
Managed Data Streams
Included with higher DVUs.
The same platform, on autopilot. For teams that want it to just work.
Everything in Data Streams
We scope and set up your streams with you
We support your pipelines day to day alongside your team
We keep an eye on volumes and costs with you
Platform Features
Every capability your pipeline needs. Nothing you don't.
A full-stack data pipeline platform with no per-pipeline or per-user fees. Every feature below is included in your base platform subscription.
Data Pipeline Builder
Assemble source, enrichment, transform, and destination components in any order or shape. No two products need the same architecture.
No-code builderVersion controlImport/export
30+ AI and NLP Enrichments
Sentiment (short and long form), emotion classification, named entity recognition, brand recognition, ESG scoring, intent classification, influence scoring, location inference, language detection, IPTC categorization, and more.
SentimentNERBrandESGEmotion
Searchable Storage and APIs
Store enriched documents in Datastreamer's managed search layer. Query via Lucene-powered Search, Count, and Aggregations APIs with pagination. No external Elasticsearch cluster required.
Lucene queriesAggregationsCount API
Jobs API and Connector Automation
Programmatically create, update, list, and cancel data collection jobs via REST. Set document limits per job, schedule collection windows, and monitor DVU usage at the job level.
REST APIDocument limitsDVU tracking
Custom Functions and JSON Transform
Write inline processing logic with pre-built recipes for spam detection, bot detection, PII extraction, keyword extraction, and readability scoring. Full JSON Schema Transformer with dot-notation mapping.
Spam detectionBot detectionPIIKeywords
Pipeline Analytics and Observability
Per-pipeline and per-component metrics, document inspector, failed items viewer, component log viewer, volume health alerting, quick diagnostics, and pipeline versioning with full deployment history.
MetricsAlertsLog viewer
Cost Management and Billing Controls
Usage-based DVU pricing, tag-level billing insights, per-job cost visibility, budget alerts at configurable thresholds, cost projections updated every 6 hours, committed usage discounts, and a cost estimation calculator.
Budget alertsDVU trackingCommits
Bring Your Own Everything
Integrate your own sources, API keys, ML models, custom schemas, PII logic, and destinations. Datastreamer wraps around your existing stack rather than replacing it.
BYODCustom modelsOpenAIApify
Use Cases
Powering the platforms that need to understand the world.
Datastreamer was built from the DNA of real-time threat intelligence. Today it powers the most demanding intelligence products across multiple verticals.
Brand Intelligence
Monitor brand mentions, sentiment, and consumer conversations across social media, news, forums, and reviews in real time. Deliver structured, enriched brand signals directly to your analytics stack at a scale no manual process can reach.
Threat Intelligence
Ingest and enrich data from dark web sources, forums, and surface web to surface emerging threats, track threat actors, and monitor for early warning signals. Datastreamer was designed from threat intelligence expertise from day one, not retrofitted for it.
Competitive Intelligence
Track competitor pricing, job postings, product launches, reviews, and market positioning across e-commerce, job boards, news, and social. Structured competitive signals delivered to your analytics stack without building a single connector.
Social Listening Platforms
Build or power a social listening product on top of Datastreamer's unified data layer. Aggregate, enrich, and normalize data from every major platform into a single consistent schema. Your product team builds features on top of clean, structured data from day one.
Hundreds of Integrations
One platform. Every source.
All data, regardless of provider, is normalized into Datastreamer's 493-field unified output schema. Your downstream tooling stays the same no matter how many sources you add.
Unified Schema
Every connector outputs to the same 493-field schema. Add a new source and your queries don't change.
// Same fields. Every source.
author.name → string
content.text → string
enrichment.sentiment → float
doc_date → date (required)
data_source → connector name
Searchable Storage: no external search infrastructure needed
Route your pipeline output to Datastreamer's built-in searchable storage layer and query it directly via REST using Lucene syntax. Full-text search, field filtering, aggregations, and pagination, all without managing a search cluster. Use it to power in-product search, dashboards, or analyst tooling.
Cost control and visibility
Stay on budget. Protect your margins.
Usage-based, with no per-seat or per-pipeline fees, and cost control built into the platform so you see and steer spend before the invoice.
By query and pipeline, so one runaway job cannot blow the month. (Early access)
Budget alerts
At the spend milestones you set, while there is still time to act.
Cost per job, client and project
Know what each customer actually costs you.
One pooled, monthly commitment
Volume discounts, no annual lock-in.
Ready for Challenging Environments
Security, stability and flexibility.
Security
Trusted by enterprise insight platforms, including security-sensitive OSINT and threat intelligence work.
Every pipeline runs in its own isolated environment.
Configurable security and processing limitations, including where data is processed.
Stability
Automated provider routing, with failover when a provider is down.
Scales automatically as your volumes change.
Processing billions of social and web posts every month.
Flexibility
Add to any pipeline with pre-built components.
A full enrichment library, plus detailed filtering and routing.
Bring your own providers, models and functions.
What Customers Say
Teams that build on Datastreamer.
Engineering teams and product leaders who chose Datastreamer to accelerate their data pipeline work.
"
We estimated 12 to 18 months of engineering work to build what Datastreamer gave us on day one. The ROI case wasn't even close. Our team is shipping product features, not connector maintenance.
VP
VP of Engineering
Brand Intelligence Platform
"
The unified schema alone is worth it. Before Datastreamer we had 6 different schemas across 6 sources and every new source was a 3-month project. Now it's a configuration change.
PE
Principal Engineer
Social Listening SaaS
"
We went from "we need this data source" to data flowing into BigQuery in under a week. The pipeline builder is genuinely fast. The Social Voice features gave us capabilities we couldn't have built ourselves at any price.
CT
CTO
Threat Intelligence Platform
Build something new, or upgrade what you run.
Talk to our team about your use case and your stack. We'll help you design the right pipeline, estimate your DVU costs, and get you running fast.
