"Our Salesforce team can now fully automate Salesforce data integration by building pipelines to prep and load data themselves. They don't need IT anymore, and they love it."
Adam Hooper
Head of Central Platforms, DPD UK
Get every new client live without waiting on engineering
Your implementation team knows each client's data better than anyone. Give them pipelines they can build, copy, and run themselves, from any file, feed, or API into your schema.
Trusted by 1,100+ data and ops teams saving millions of IT tickets with Integrate.io
May, 2023
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Implementation team challenge
Every new client means another custom build.
When onboarding depends on engineering time, the engineering queue sets your go-live dates instead of your team.
Every client sends data differently
CSV, Excel, fixed-width files, SFTP drops, API exports. Each new format turns into its own project.
Onboarding waits in a queue
Your team can scope a client in a day, then waits weeks for someone to write and test the scripts.
Changes break pipelines quietly
A client renames a column and the load fails, or worse, loads the wrong data into your product.
Capabilities
Client onboarding your implementation team can run
Engineering sets the standards and the destination schema once. Your implementation team builds and runs each client's pipeline from there.
Map any format to your schema
Smart Mapping suggests how each incoming field maps to your schema. Your team reviews and approves the mapping before anything runs.
Build once, copy per client
Turn a working client pipeline into a template, then copy it for the next client and change only what is different.
See which client feed failed
Run history, error logs, and alerts show which client file failed and why, so your team can fix it before the client notices.
Engineering stays in control
Role-based access, version history, and audit trails let engineering set the guardrails while implementation does the daily work.
Why Integrate.io Read story
Hands-on teams move faster. IT still sees and controls the work.
Analysts, operators, and engineers can build the pipelines they need, while IT keeps access, standards, and visibility in place.
Fixed-fee pricing
Predictable pricing for growing data work, without tying budget to every row, sync, connector, or client.
Flexible pipeline builder
Build visually, prompt with Helm, or add SQL and Python when they help. Teams closest to the data can own the flow.
White-glove service
A dedicated Solution Engineer guides implementation and production work alongside 24/7 support.
Explore the Platform
Use Integrate.io as the end-to-end data pipeline platform for data management, or plug its modular components into the stack your team already prefers.
40,000+ hours saved. Your turn?
“The Integrate.io Platform is a great ETL & Data Transformation Solution! Connecting Salesforce, Hubspot, Google Analytics, Facebook Ads, etc... has never been easier.”
Meir Gold
Growth | Analytics Manager
“Awesome ELT Tool. No code tool, easy to set up/use, nice schedules, price balance!”
Diego Polo
Business Intelligence Architect
“Best Customer Service Ever! They have been the best customer service team I have ever worked with from an outside vendor. Always very responsive, and go above and beyond to resolve issues or instruct on the product.”
Matthew Pratt
Analytics Manager
Connect the systems your data depends on
Managed sources and destinations, a universal API connector for custom systems, and new connectors built on demand within 24 to 48 hours.
Bring one client's messiest file
Book a demo and watch a Solution Engineer load real client data into your schema, then see how your team would run it from there.
Talk to an Expert
FAQ
Frequently asked questions
Clear answers to the questions teams ask when evaluating Integrate.io.
Still have questions?
Talk to an expert →How does Integrate.io help implementation teams?
It lets implementation teams build and run each client's data pipeline themselves, from file or feed to your schema, instead of waiting on engineering for every new client.
Can we reuse a pipeline for every new client?
Yes. Build one client's pipeline as a template, then copy it for the next client and change only what is different.
What if each client sends a different format?
Map each new format to your schema once, and transformations normalize dates, names, and codes before anything loads.
How does engineering stay in control?
Engineering sets the destination schema and access rules once. Role-based access, version history, and audit trails keep every change visible.
How fast can a new client go live?
Once the first pipeline is built, new clients that send similar data can usually go live in days rather than weeks, depending on how different their format is.