"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
Your team understands your data. Owning the pipelines is still a fight.
Data pipelines belong to the people closest to your data.
Integrate.io lets ops, analytics, and data teams build and own ETL, ELT, CDC, and Reverse ETL pipelines without the engineering backlog, with the access controls and audit trails IT needs.
True low-code Predictable fixed-fee pricing Dedicated Solution Engineer
Trusted by 1,100+ data and ops teams saving millions of IT tickets with Integrate.io
May, 2023
July, 2018
August, 2019
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August, 2021
August, 2025
August, 2017
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The old model
Every data request still lands on the same few technical teams.
A new source, client file, dashboard, sync, or schema change becomes another ticket, script, handoff, and fragile job to maintain. Ops waits. Engineering loses product time. Leaders get slower onboarding, stale reporting, and less predictable costs as data work grows.
1
Engineering owns too much
Every pipeline change competes with product work, security work, and the next urgent request.
2
Teams closest to the data wait
The people who understand the data still depend on someone else to move, clean, or activate it.
3
Costs get harder to forecast
As data volume, client count, and use cases grow, usage-based tools can make pipeline planning harder than it should be.
Featured use case Explore client data ingestion
Client data ingestion without a bespoke build for every customer.
Your clients send data in different formats, from different systems, on different schedules. Integrate.io helps teams standardize client data from files, APIs, databases, CRMs, apps, and cloud storage into workflows your ops team can run.
Any source, any shape
Handle recurring client data across files, APIs, apps, databases, and cloud storage.
Reusable patterns
Define the destination once, map each client into it, and reuse the pattern as the client base grows.
Ops-owned, IT-visible
Move day-to-day pipeline work closer to ops while keeping access controls, logs, and audit trails in place.
Predictable cost
Fixed-fee pricing keeps pipeline costs easier to plan as data volume, client count, and use cases grow.
Client intake flow
Client sources
Files, APIs, databases
Smart map & transform
Match fields and formats
Canonical schema
Centralized schema management
Destinations
Database, warehouse, files
Every client can arrive differently. We auto map and transform. You keep one repeatable workflow.
One platform
Every way your data moves, in one place.
Use the same platform for ETL, ELT, CDC, Reverse ETL, file workflows, app integrations, and API-driven pipelines. Start with one urgent workflow, then reuse connectors, transformations, schedules, and monitoring across teams.
ETL ELT CDC Reverse ETL Files APIs Databases Apps Warehouses
More ways teams use it
Handles the rest of your data movement too.
Client data ingestion is the featured wedge. The same platform also supports the internal analytics, Salesforce, and CDC workflows teams already run every day.
Analytics Data Prep
Prepare trusted data for BI, AI, and reporting without waiting on engineering.
See use case
Salesforce Sync
Give Salesforce teams cleaner records and automated syncs they can own.
See use case
CDC and Data Products
Keep apps, internal tools, and reporting layers current with reliable CDC, including 60-second replication for operational workloads.
See use caseBuild it your way
Build visually, with AI, or from your MCP client.
The point is ownership. The person closest to the data can draft, review, and run the pipeline, with the same permissions and audit trail in place.
Build pipelines your team can own
Ingest from anywhere, transform data visually, schedule the run, and load records where the business needs them. Teams can move without waiting on a SQL or dbt specialist for every change.
- ● Ingest data from anywhere instantly
- ● 220+ visual transformations and functions
- ● ETL/ELT, CDC, and Reverse ETL
Helm: your Integrate.io copilot
Helm is Integrate.io's AI agent inside the platform. Describe the pipeline you want, then review the generated steps before it runs.
- ● Prompt from inside the Integrate.io designer
- ● Helm drafts components, mappings, and explanations
- ● Your team validates, edits, and approves the pipeline
Connect Integrate.io to your LLM client
Use Integrate.io's MCP server so Claude, ChatGPT, Cursor, or another MCP-compatible client can inspect, build, and validate pipelines with the same controls as the UI.
- ● Work from Claude, ChatGPT, Cursor, or your own agent
- ● Inspect, build, and validate packages
- ● Keep Integrate.io permissions and audit history in place
Claude 
ChatGPT 
Cursor 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.
Production-grade pipelines without the production drag.
Reduce pipeline backlog
Move recurring data work out of the queue and into workflows teams can run.
Catch breaks earlier
Use run history, alerts, and logs to spot failed jobs before downstream teams are surprised.
Keep data usable
Prepare clean datasets for BI, AI, operations, and the apps teams use every day.
Give IT visibility
Role-based access, audit trails, SOC 2, HIPAA, and encryption are built in.
Our Process
From one priority workflow to a team-owned pipeline
You work with real people from the first call through long-term success. The path moves around your goals, data readiness, and launch timeline.
1
Fit and Pilot
- Confirm the priority workflow, data sources, destination, and owner.
- Try the platform with your data in a focused pilot.
- Work with a dedicated Integrate.io Solution Engineer from the start.
2
Onboarding and Go Live
- Build the first production pipeline and reusable pattern.
- Test mappings, schedules, permissions, and alerts.
- Hand day-to-day ownership to the team closest to the data.
3
Ongoing Success
- Your dedicated Success Engineer stays close after launch.
- Add sources, destinations, and use cases without starting over.
- 24/7 support with 2-minute average first response.
Support that stays close after launch
Human support for the first workflow, the next use case, and the production issues that need a fast answer.
2 min
Average First Response
92%
Customer Satisfaction Score
51 min
Average Time to Resolution
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.
Security
Vetted and approved by Fortune 50 security teams.
SOC 2, HIPAA, GDPR, SSO, and end-to-end encryption. We never store your data.
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
FAQ
Frequently asked questions
Clear answers to the questions teams ask when evaluating Integrate.io.
Still have questions?
Talk to an expert →What does Integrate.io do?
Integrate.io helps teams build, run, monitor, and own data pipelines across SaaS apps, databases, files, APIs, warehouses, and operational systems from one managed platform.
Which teams use Integrate.io?
Data, RevOps, analytics, Salesforce, engineering, implementation, and customer operations teams use Integrate.io to keep business systems and reporting data current while IT keeps visibility and control.
What is client data ingestion?
Client data ingestion is the recurring process of collecting data from customers or partners, standardizing it, mapping it to a target schema, and delivering it to the systems that power your product, reporting, or operations.
Can Integrate.io handle ETL, ELT, and Reverse ETL in one place?
Yes. Teams can ingest data, transform it, load it into warehouses, run CDC workflows, and sync trusted data back to operational tools without stitching together separate products.
How does Integrate.io use AI for pipelines?
Integrate.io uses AI to help draft and adjust pipelines with Helm and supported MCP clients. Teams review, edit, and approve the workflow before it runs on Integrate.io with permissions, logs, and audit trails in place.
How quickly can teams launch a data pipeline?
Many teams can configure a first pipeline during onboarding. Production timing depends on authentication, field mapping, approvals, and the number of systems involved.
How does Integrate.io keep data movement controlled?
Integrate.io includes role-based access, audit trails, alerts, logs, encryption, and SOC 2, HIPAA, and GDPR support for production data workflows.
How is Integrate.io priced?
Integrate.io uses predictable fixed-fee pricing so teams can scale data volume, client count, users, connectors, and use cases without tying budget to every row, sync, or connector.