Low-Code Data Pipelines
& Transformations

Automate data processes with our powerful drag-and-drop interface and 220+ data transformations

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These companies automate their data pipelines using Integrate.io
The industry’s leading
Low-code ETL & Reverse ETL Platform
For Operational ETL
True Low-Code Platform

Every platform claims to be ‘low-code’ nowadays, but few actually are. Our solution was built for ease of use, allowing both technical and non-technical users to easily build and manage data pipelines. Empower your non-technical users!

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Streamline Business Data Processes

We excel at Operational ETL use cases, helping teams streamline manual data processes. Automate bidirectional Salesforce data integration, file data preparation, and B2B file data sharing.

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Transform Your Data

No need for SQL or scripting with our low-code data transformation layer. Choose from 220+ table and field-level transformations to get your data the way you want it. Advanced transformations available too for more technical users.

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ETL & Reverse ETL
Platform Capabilities
>
Ingest Data From Anywhere
Hundreds of prebuilt connectors & a highly customizable Universal REST API connector.
Data Transformations
220+ low-code transformation options to deliver on any data requirement.
Scheduling
Set up recurring schedules code-free or create more advanced schedules with our Cron expression option.
Logic & Dependencies
Add logic and dependencies between pipelines. Execute pipelines and SQL queries in specific order tailored to your requirements.
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Monitoring & Alerts
Set up alerts to email, Slack, PagerDuty, etc to get notified about pipeline updates.
Utilize Our API
Our whole UI is built on our customer-facing REST API, so everything can also be done progamatically.
Scalability
Effortlessly scale from hundreds of rows to tens of billions, and configure clusters by adding nodes to increase the processing power.
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Top 5 ETL Connectors
Snowflake
Salesforce
SFTP
Rest API
Redshift
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What Our ETL & Reverse ETL Customers Say...
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    star star star star star
    “
    “No Code ETL Jobs and Data transformations
    It's solving problems to integrate systems easily and there is no separate documentation needed as it's already very well built on the UI“
    Gurditta G.
    Chief Architect | Motorola Solutions Inc.
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    star star star star
    “
    “Using Integrate.io has been a really good experience. The extremely user-friendly UI lets us create data pipelines without coding.“
    Customer in the Transportation/Trucking Industry
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    star star star star star
    “
    “Agile data pipelines that can integrate with any source! Very fast to implement and connect ETL & Reverse ETL to and from any API or datasource.“
    Jason Soderberg
    Full Stack Developer | Group Publishing
ETL & Reverse ETL FAQ
What is a credit?

Credits are used to pay for the use of Integrate.io ETL & Reverse ETL product. A credit is the smallest unit of charge consumed when using Integrate.io a cluster. One credit is equal to 15 minutes of cluster consumption.
How do I know how many credits I need?

The number of credits required will depend on the plan type you need (Starter, Professional, Expert, Business Critical). Below are some examples to help you understand which plan would suit your use case.
Schedule FrequencyAverage Package RuntimeNumber of PackagesProjected Credits Plan
Example 1Daily15 minutes5Starter
Example 2Twice per day30 minutes10Starter
Example 34 times per day30 minutes15Starter / Professional
Example 4Hourly15 minutes5Professional
Example 5Hourly30 minutes10Professional/Expert
Example 6Hourly30 minutes15Expert
Example 730 minutes15 minutes5Expert
Example 830 minutes30 minutes10Expert
Example 930 minutes30 minutes15Expert / Business Critical
Example 1015 minutes15 minutes5Business Critical
Example 1115 minutes30 minutes10Business Critical
Example 1215 minutes30 minutes15Business Critical
Average Package Runtime Examples
The examples below show the average standard runtimes (extracting, transforming, loading) for packages on the platform. Runtimes can be further optimized for performance with additional resources if so desired.
SourceDestinationData VolumeRuntime
Example 1DatabaseBig Query35,00002:00
Example 2DatabaseSnowflake3,000,00005:00
Example 3DatabaseSalesforce132,00014:00
Example 4FileDatabase23,00004:00
Example 5FileDatabase1,58801:15
How are credits consumed?

Credits are consumed based on cluster usage. 4 credits are consumed for every hour of cluster usage.
How frequently can I schedule packages to run?

You can schedule packages to run from every 5 minutes to whatever time frequency you wish.

Chat With Us About Trying ETL & Reverse ETL

Speak with a Product Expert about using ETL & Reverse ETL to help solve your data challenges

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