Executive Brief · 2 minute read

Someone on your team has been evaluating Datastreamer and wanted you to see the business case. This is the short version of what they saw.

Ship your product on web and social data. Stop paying to maintain the pipes.

We help insight and intelligence platforms build on web and social data with a managed sourcing, enrichment, and integration platform.

30x

faster to market with ready-made sourcing, enrichment and delivery

40%

of data engineering time goes to maintenance. We take that on.

Days

to add a new source, not months of integration work

The business case

Building it yourself costs months before you see a single insight.

Every stage has to finish before the next one starts, and none of it is your product.

Build it yourself

First insight: Week 27

Find and test data providers4 to 6 weeks

Connect provider APIs4 to 5 weeks

Build the data workflows4 to 8 weeks

Connect to downstream systems2 to 3 weeks

Production readiness3 to 4 weeks

With Datastreamer

First insight: Week 2

Sourcing: configure the sources you need. We route each job to the best provider and fail over automatically.

Enrichment: one unified schema, with sentiment, entities, language and classification ready to add.

Integration: data lands in your warehouse, storage or search, from day one.

Your engineers start on product in week one.

Where the return comes from

Four lines on your budget that get smaller, or go away.

Engineering time

The connector upkeep that eats 40% of data engineering time moves to us. That capacity goes back into features your customers pay for.

Roadmap speed

A typical team has 10 to 12 sources on its roadmap at 6 to 10 weeks each. Here, adding a source is a configuration change.

Vendor management

One relationship and one commitment instead of a contract, API and invoice per provider.

Infrastructure and risk

No pipeline infrastructure to run, and provider outages or API changes are handled before they reach your customers.

The platform

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 run them day to day and keep an eye on volumes and costs
Provider changes handled before you notice them

Cost control and visibility

Stay on budget. Protect your margins.

External data is usually the line item nobody can forecast. On Datastreamer, cost control is built into the platform, so you see and steer spend before the invoice, not after it.

See published pricing

Budget limits

Set limits by query and by pipeline, so one runaway job cannot blow the month. (Early access)

Budget alerts

Get told when spend reaches the milestones you set, while there is still time to act.

Cost per job, client and project

Usage down to the individual job, and broken out by your own tags, so you know what each customer actually costs you.

Projections and volume alerts

Current, projected and historical spend in one dashboard, with alerts when volumes move outside the expected range.

One pooled commitment

Shift volume between sources and add new ones without renegotiating.

Monthly, with volume discounts

No annual lock-in, and the per-unit rate drops as your total volume grows.

Ready for Challenging Environments

Security, stability and flexibility.

Security

Used by OSINT, cyber security and threat intelligence firms.
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.

How to get started

Prove the value before you scale.

A Proof of Value runs on real data and real infrastructure, against pass criteria we agree with you up front. You see the return on your own use case before committing to volume.

Questions? Ask the person who shared this with you, or talk to us directly.

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