"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
Prepare data for analytics reporting
Integrate.io helps teams collect, clean, transform, and deliver BI-ready data into the dashboards and reporting tools they already use.
Trusted by 1,100+ data and ops teams saving millions of IT tickets with Integrate.io
May, 2023
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Reporting slows down when every answer needs a new data request.
Analysts lose hours cleaning exports, joining sources, and chasing stale numbers before a dashboard or report is ready to trust.
Manual prep before every report
Teams copy, clean, and reconcile exports before they can answer basic business questions.
Dashboards no one fully trusts
Metrics drift when source data lands late, arrives in different formats, or skips validation.
Every change becomes a ticket
New fields, sources, and stakeholder requests pile up behind engineering priorities.
Capabilities
From raw source data to BI-ready tables
Build repeatable data flows that collect, clean, validate, and deliver trusted data into your warehouse and BI tools.
Connect every reporting source
Pull from CRMs, ad platforms, apps, databases, files, and APIs through managed connectors.
Clean data before BI sees it
Standardize formats, dedupe records, join tables, and enrich fields with visual transformations.
Keep reports current
Schedule refreshes, monitor runs, and alert owners when a pipeline needs attention.
Choose your data architecture
Transform data before it lands in the warehouse, after it lands, or both. Integrate.io supports ETL and ELT patterns, from one-person data teams to scaled enterprise teams.
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.
Ready to prepare BI-ready data?
Book a 30-minute demo and see how Integrate.io prepares trusted data for analytics reporting.
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 →What is analytics data preparation?
Collecting data from your apps, databases, and files, then cleaning, joining, and reshaping it into tables your BI tools can report on reliably.
Which BI tools does it work with?
Integrate.io loads prepared data into warehouses such as Snowflake, BigQuery, and Amazon Redshift, which tools like Looker, Tableau, and Power BI read from.
Do we transform before or after loading?
Either. Transform in the pipeline before loading (ETL), load raw data and transform in the warehouse (ELT), or mix both depending on the source.
How fresh is the data?
Pipelines run on the schedule you set, and database replication can run as often as every 60 seconds for reporting that needs near real-time data.
How do we know the numbers are right?
Run logs, row counts, and alerts show what each pipeline loaded, and validation steps can stop bad records before they reach your reports.