Most teams know what their data providers cost. Fewer know what the pipeline around them costs: the upkeep, the vendor contracts, the coverage gaps and the spend nobody can forecast. Datastreamer helps you bring those costs down one piece at a time, on your terms.
Your pipeline works. The question is what it takes to keep it working, and what it costs you when it does not.
Of data engineering time goes to maintenance, not new features. Every connector you own is work that never finishes.
A contract, an API, a data model and an invoice for every provider. Each one adds procurement, integration and renewal work.
When a provider drops or restricts a source, coverage drops with it until someone rebuilds. Your customers notice before you do.
Volume spikes show up on the invoice, after the fact. Without cost per job or per client, you cannot tell which customers are profitable.
40%: industry benchmark from data engineering teams at intelligence product companies. Starting from scratch instead? See Build vs Buy.
Keep what works and improve what does not. Datastreamer fits alongside the stack you run today and delivers into the warehouse, lake or search you already use, so each step makes the pipeline more effective and more flexible, with less stress on your team.
Start with the providers that break most. Automated routing and failover keep them running and off your on-call list.
Bring in the sources your customers keep asking for, landed in the systems you already run.
One commitment and one unified schema instead of a contract, API and data model per vendor.
Keep your existing providers, models and functions, and plug them into the same pipeline.
Managed Data Streams is an option on the same platform: we support your pipelines alongside your team, and you keep full access and control.
Budget limits, alerts and cost per job, client and project. See the detail below.
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 pricingSet limits by query and by pipeline, so one runaway job cannot blow the month. (Early access)
Get told when spend reaches the milestones you set, while there is still time to act.
Usage down to the individual job, and broken out by your own tags, so you know what each customer actually costs you.
Current, projected and historical spend in one dashboard, with alerts when volumes move outside the expected range.
Shift volume between sources and add new ones without renegotiating.
No annual lock-in, and the per-unit rate drops as your total volume grows.
If the answers are hard to find, that is the cost. Bring them to a call and we will help you put a number next to each one.
Fixes, provider changes, schema drift and on-call.
Each with its own API, data model, renewal and invoice.
And how long did it take to get it back.
Per job, per client, per project.
From request to production.
Bring your answers to the five questions above. We will map what you run today, show where Datastreamer fits, and estimate the cost side by side.