# Datastreamer Executive Brief 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)** | Stage | Duration | | :--- | :--- | | Find and test data providers | 4 to 6 weeks | | Connect provider APIs | 4 to 5 weeks | | Build the data workflows | 4 to 8 weeks | | Connect to downstream systems | 2 to 3 weeks | | Production readiness | 3 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. Read more: [How it works, and build vs. buy](https://datastreamer.io/how-it-works/) ## 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. Read more: [How Auto Sources work](https://datastreamer.io/how-it-works/#auto-sources) · [Data Streams overview](https://docs.datastreamer.io/docs/data-streams-overview) ## 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 Read more: [Platform overview](https://docs.datastreamer.io/docs/platform-overview) · [Sources and destinations](https://datastreamer.io/integrations/) ## 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. - **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. [See published pricing](https://datastreamer.io/pricing/) Read more: [Budget alerts](https://docs.datastreamer.io/docs/budget-alerts) · [Billing dashboard](https://docs.datastreamer.io/docs/billing-dashboard-portal) · [Volume alerts](https://docs.datastreamer.io/docs/alerts) · [How usage is measured](https://docs.datastreamer.io/docs/data-volume-units) ## 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. Read more: [Security FAQ](https://docs.datastreamer.io/docs/security-faq) · [Regional deployment](https://docs.datastreamer.io/docs/regional-deployment) · [Compliance-sensitive environments](https://docs.datastreamer.io/docs/usage-in-compliance-sensitive-enviroments) ## 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: [Talk to Sales](https://datastreamer.io/book-demo/) --- 30x and Days figures: Datastreamer estimates and customer averages. 40%: industry benchmark from data engineering teams at intelligence product companies. Timeline: Datastreamer estimate of a typical in-house build.