--- description: Get detailed information about Integrate.io and how it can help you meet your business needs. Learn more about Integrate.io price, benefits, and disadvantages for businesses in Singapore. image: https://gdm-localsites-assets-gfprod.imgix.net/images/capterra/og_logo-e5a8c001ed0bd1bb922639230fcea71a.png?auto=format%2Cenhance%2Ccompress title: Integrate.io Pricing, Cost & Reviews - Capterra Singapore 2026 --- Breadcrumb: [Home](/) > [System and Data Integration Software](/directory/8/integration/software) > [Integrate.io](/software/153780/xplenty) # Integrate.io Canonical: https://www.capterra.com.sg/software/153780/xplenty Page: 1 / 2\ Next: [Next page](https://www.capterra.com.sg/software/153780/xplenty?page=2) > Integrate.io is a low-code data pipeline platform specializing in Operational ETL. > > Verdict: Rated **4.6/5** by 17 users. Top-rated for **Likelihood to recommend**. ----- ## Overview ### Who Uses Integrate.io? Teams with use cases involving: 1) File data preparation and B2B data sharing 2) Preparing and loading data to Salesforce 3) Powering data products with real-time database replication ## Quick Stats & Ratings | Metric | Rating | Detail | | **Overall** | **4.6/5** | 17 Reviews | | Ease of Use | 4.4/5 | Based on overall reviews | | Customer Support | 4.8/5 | Based on overall reviews | | Value for Money | 4.7/5 | Based on overall reviews | | Features | 4.3/5 | Based on overall reviews | | Recommendation percentage | 90% | (9/10 Likelihood to recommend) | ## About the vendor - **Company**: Integrate.io - **Location**: San Francisco, US - **Founded**: 2012 ## Commercial Context - **Starting Price**: US$1,200.00 - **Pricing model**: Flat Rate (Free Trial) - **Pricing Details**: For full pricing information, contact Integrate.io directly. - **Target Audience**: Self Employed, 2–10, 11–50, 51–200, 201–500, 501–1,000, 1,001–5,000, 5,001–10,000, 10,000+ - **Deployment & Platforms**: Cloud, SaaS, Web-based - **Supported Languages**: English - **Available Countries**: Australia, Canada, Germany, Ireland, New Zealand, Poland, United Kingdom, United States ## Features - API - Collaboration Tools - Dashboard - Data Analysis Tools - Data Connectors - Data Extraction - Data Management - Data Quality Control - Data Security - Data Synchronization - Data Visualization - Data Warehouse Software - Data Warehousing - Database Support - High Volume Processing - Match & Merge - Metadata Management - Real-Time Data - Real-Time Monitoring - Third-Party Integrations - Version Control ## Integrations (27 total) - Asana - Basecamp - Confluence - FreshBooks - Google Ads - Google Analytics 360 - HubSpot CRM - HubSpot Marketing Hub - Intercom - Loggly - Looker - Mailgun - Meta for Business - Mixpanel - NetSuite ... and 12 more integrations ## Support Options - Email/Help Desk - Knowledge Base - Phone Support - 24/7 (Live rep) - Chat ## Category - [System and Data Integration Software](https://www.capterra.com.sg/directory/8/integration/software) ## Related Categories - [System and Data Integration Software](https://www.capterra.com.sg/directory/8/integration/software) - [ETL Tools](https://www.capterra.com.sg/directory/31099/etl/software) - [Big Data Software](https://www.capterra.com.sg/directory/30851/big-data/software) - [Cloud Management Software](https://www.capterra.com.sg/directory/30852/cloud-management/software) ## Alternatives 1. [Tableau](https://www.capterra.com.sg/software/77260/tableau) — 4.6/5 (2348 reviews) 2. [Domo](https://www.capterra.com.sg/software/119119/domo) — 4.3/5 (329 reviews) 3. [Qlik Sense](https://www.capterra.com.sg/software/145530/qlik-sense) — 4.5/5 (260 reviews) 4. [Adverity](https://www.capterra.com.sg/software/162524/datatap) — 4.5/5 (26 reviews) 5. [APPSeCONNECT](https://www.capterra.com.sg/software/106290/appseconnect) — 4.7/5 (180 reviews) ## Reviews ### "ETL for agile analysts" — 5.0/5 > **Tamás** | *30 September 2019* | Information Technology & Services | Recommendation rating: 9.0/10 > > **Pros**: - wide variety of sources and destinations - visual editor makes creating packages quick and easy - SQL transformations - great, quick, responsive support - free unlimited hours of sandbox - Slack integration > > **Cons**: - expansive for hourly jobs - error logs are not always informative - transforming JSON or other nested data is not trivial > > There are mostly two types of ETL as a service on the market: one is super easy to use and can migrate your data across services and databases but lacks transformation capabilities, while the other needs full-time data engineers to operate but tailored solutions are available programmatically. Xplenty sits in the golden middle letting analysts and engineers deploying custom transformation jobs in minutes even based on multiple data sources. The UI is intuitive but you can always use SQL to filter your sources or to create new sets in scheduled packages. Also, there are plenty of built-in functions available. Running costs are not comparable of running your own services on Heroku or Google cloud but its intuitive features save a lot of engineering hours. I would recommend Xplenty for agile teams having multiple sources of data where data analysts frequently needs custom datasets to deliver insights. ----- ### "No-SQL to SQL" — 5.0/5 > **Chris** | *8 October 2019* | Computer Software | Recommendation rating: 9.0/10 > > **Pros**: We have a complex and highly nested no-sql DB. Xplenty was the only ETL solution that allowed us get out data into tabular format for analysis > > **Cons**: None. Its been great. Haven't had any issues. ----- ### "No code ETL pipelines" — 4.0/5 > **Verified Reviewer** | *26 June 2021* | Health, Wellness & Fitness | Recommendation rating: 5.0/10 > > **Pros**: Drag and drop interface easy to use for simple pipelines. Coding skills not needed to create and setup a pipeline. Very prompt support. > > **Cons**: The same drag and drop interface becomes extremely tough to use for complicate pipelines. Deployment of pipelines quite confusing. > > We stopped using xplenty when we started creating complex pipelines which required joined across data schemas. ----- ### "Highly recommend" — 5.0/5 > **Brittany** | *21 April 2022* | Financial Services | Recommendation rating: 10.0/10 > > **Pros**: I like the ease of use. We have never ran into a problem with it. And if we have a question their support is AMAZING\!\! They actually teach you how to use it and don’t just send you an article. I love their business support model. More companies should do it\! > > **Cons**: I actually don’t dislike anything about it. It’s the only tech solution I have no complaints about which doesn’t ever happen.. > > My entire team loves it. Our rep actually goes out of his way to meet with us quarterly even years after set up to make sure we are aware of all the enhancements. You can use the product whether you are tech savvy or not. It is necessary for our tech stack to work. ----- ### "Great ETL solution with responsive technical support" — 5.0/5 > **Verified Reviewer** | *26 August 2020* | Internet | Recommendation rating: 9.0/10 > > **Pros**: We used Xplenty for 3 years as our ETL. It was easy and flexible to setup and was the only solution on the market that could handle MongoDB to Redshift with a very nested structure. > > **Cons**: Nothing I disliked. When we had an ETL (now on ELT) it was great and exactly what we needed. > > One of the key benefits is how technically capable their support staff is. They do a great job supporting a technical product. ----- Page: 1 / 2\ Next: [Next page](https://www.capterra.com.sg/software/153780/xplenty?page=2) ## Links - [View on Capterra](https://www.capterra.com.sg/software/153780/xplenty) ## This page is available in the following languages | Locale | URL | | de | | | de-AT | | | de-CH | | | en | | | en-AE | | | en-AU | | | en-CA | | | en-GB | | | en-IE | | | en-IL | | | en-IN | | | en-NZ | | | en-SG | | | en-ZA | | | es | | | es-AR | | | es-CL | | | es-CO | | | es-CR | | | es-DO | | | es-EC | | | es-MX | | | es-PA | | | es-PE | | | fr | | | fr-BE | | | fr-CA | | | fr-LU | | | it | | | nl | | | nl-BE | | | pl | | | pt | | | pt-PT | | ----- ## Structured Data