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Fivetran vs Tray.io comparison

 

Comparison Buyer's Guide

Executive Summary

Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

ROI

Sentiment score
6.6
Fivetran offers significant time and cost-saving benefits, simplifying data integration and maintenance while reducing reliance on data engineers.
Sentiment score
5.8
Tray.io boosts efficiency by reducing redundant tasks, saving 40+ hours weekly, and eliminating the need for engineer integration hours.
Fivetran provides time savings, cost reductions, and improvements in data quality.
Team Lead Data Engineer at Data Pilot
It saves us the effort of having one to two data engineers managing the tasks that Fivetran handles.
Lead Data Engineer at Sensilab
I have seen a return on investment as the company has been renewing the product for the entire 19 months we have been using it, which indicates that trust is high and they likely see value and advantage in using the system.
Principal AI and Data Science Engineer at a manufacturing company with 10,001+ employees
It has even eliminated a position on our team because that person was no longer needed once we started the automations.
Applications Analyst at a healthcare company with 1,001-5,000 employees
The ROI is clear, as it eliminates hundreds of engineer hours required to build and maintain custom integration connectors, while empowering client partners to manage complex data ingest self-sufficiently.
Dev Ops Engineer at a outsourcing company with 201-500 employees
 

Customer Service

Sentiment score
6.0
Fivetran customer support is efficient yet sometimes slow, rated 7-9, with calls for improved critical issue communication.
Sentiment score
4.3
Tray.io is user-friendly, reducing support needs; feedback highlights adequate direct support and praised newsletters and updates.
If they could provide support more quickly, that would be great.
Manager at InfoCepts
The technical support provided by Fivetran has generally been good, with a response time and competence that I would rate as good.
Lead Data Engineer at Sensilab
Customer support from Fivetran is quite good; it's really nice and responsive.
Team Lead Data Engineer at Data Pilot
I have never used the customer support for Tray.io because the software is very easy to use and we never needed to contact support.
Principal AI and Data Science Engineer at a manufacturing company with 10,001+ employees
 

Scalability Issues

Sentiment score
7.1
Fivetran scales well for various businesses, accommodating data needs but can be costly and complex for smaller enterprises.
Sentiment score
7.3
Tray.io is scalable and adaptable, but faces challenges with complexity and data handling in high-load scenarios.
Fivetran's scalability has been tested effectively, and it has been working well for our organization's growing data needs.
Team Lead Data Engineer at Data Pilot
We were able to deploy it from a small company within Tata with 200 people to what is now a multinational company with 92,000 people globally.
Principal AI and Data Science Engineer at a manufacturing company with 10,001+ employees
Our company uses it for handling high-volume data ingestion and integration orchestration between our platform and external ad services.
Dev Ops Engineer at a outsourcing company with 201-500 employees
The benefits of it being no-code or low-code started to pale in comparison to the cost of making everything slightly more complicated.
Operations Analyst at a tech vendor with 51-200 employees
 

Stability Issues

Sentiment score
8.0
Users generally express high satisfaction with Fivetran's stable reliability, despite occasional issues with API connections and custom setups.
Sentiment score
7.9
Tray.io is stable and reliable for workflows, despite setup challenges and memory limitations, enhancing data operations and integrations.
They have 99.9% accuracy on the data load and they maintain transparency.
Manager at InfoCepts
In my experience, Fivetran is stable with very few instances of downtime or reliability issues.
Team Lead Data Engineer at Data Pilot
During the duration of the time that we used Fivetran, it was highly stable.
Founder at a marketing services firm with 1-10 employees
In my experience, Tray.io is stable, as we have never experienced issues with it failing or being unavailable.
Principal AI and Data Science Engineer at a manufacturing company with 10,001+ employees
The biggest issue we have with Tray.io is that it runs out of memory space and does not process all of our workflows.
Applications Analyst at a healthcare company with 1,001-5,000 employees
Tray.io is highly stable for daily scheduled production runs and event-driven webhooks, provided proper error handling, timeout management, and payload validation are built into the workflow steps.
Dev Ops Engineer at a outsourcing company with 201-500 employees
 

Room For Improvement

Fivetran needs improvements in connectors, real-time processing, user interface, pricing, support, documentation, and integration capabilities.
Tray.io poses challenges for non-technical users with complex workflows, high costs, and limited integration and customization options.
From a cost perspective, if the number of connectors is lesser, then Fivetran is not the most cost-efficient option.
Founder at a marketing services firm with 1-10 employees
I want more flexibility during ingestion, specifically for transformations needed beforehand.
Team Lead Data Engineer at Data Pilot
Fivetran could improve by adapting more for technical users and by providing more options for such users.
Lead Data Engineer at Sensilab
When an automation fails, it usually provides the JSON format, and if Tray.io could include a summary of what the actual error entails, that would be quite beneficial.
IT Engineer at a consumer goods company with 51-200 employees
I believe Tray.io can be improved by offering integration with Tableau, which is still not available.
Principal AI and Data Science Engineer at a manufacturing company with 10,001+ employees
There is a steep learning curve in user accessibility; the builder is highly developer-centric, making it difficult for a non-technical team member to modify or troubleshoot workflows.
Automation Engineer at a educational organization with 11-50 employees
 

Setup Cost

Fivetran's pricing is high, favoring larger enterprises with discounts available; smaller companies may find it prohibitive.
Our current yearly contract for Fivetran is approximately $70,000.
Lead Data Engineer at Sensilab
No one has complained in the finance department, and it is very rare for Tata Motors to refrain from complaining about pricing.
Principal AI and Data Science Engineer at a manufacturing company with 10,001+ employees
 

Valuable Features

Fivetran is valued for seamless data replication, user-friendly interface, scalability, and minimal coding, enabling efficient data handling.
Tray.io enhances automation with low-code options, robust tools, vast API connections, and insightful logging for improved workflow efficiency.
The most valuable feature of Fivetran is its built-in connectors for a wide range of data sources.
Lead Data Engineer at Sensilab
The real-time data replication is what I see best in the market where it reduces the overhead of customers needing to maintain the pipeline.
Manager at InfoCepts
The ability to seamlessly integrate with a large variety of data sources is valuable.
Founder at a marketing services firm with 1-10 employees
The connector SDK is also very nice; it has a large library of pre-built connectors that can connect a lot of proprietary internal tools directly into Tray.io, allowing the developer to build, test, and deploy custom connectors using Node.js and integrate the data directly into Tray.io.
Automation Engineer at a educational organization with 11-50 employees
The best features Tray.io offers include the visual workflow builder and HTTP client blocks that enable rapid prototyping and deployment of complex API interactions, including raw HTTP requests, data mappers, and dynamic token generation.
Dev Ops Engineer at a outsourcing company with 201-500 employees
The logging and debugging features in Tray.io have helped us considerably, especially when dealing with APIs that return errors sometimes.
Operations Analyst at a tech vendor with 51-200 employees
 

Categories and Ranking

Fivetran
Ranking in Cloud Data Integration
9th
Average Rating
8.2
Reviews Sentiment
6.8
Number of Reviews
29
Ranking in other categories
Data Integration (14th), Data Replication (3rd)
Tray.io
Ranking in Cloud Data Integration
17th
Average Rating
7.2
Reviews Sentiment
5.4
Number of Reviews
7
Ranking in other categories
Process Automation (16th), Low-Code Development Platforms (19th), Integration Platform as a Service (iPaaS) (15th)
 

Mindshare comparison

As of August 2026, in the Cloud Data Integration category, the mindshare of Fivetran is 3.9%, down from 5.6% compared to the previous year. The mindshare of Tray.io is 1.4%, up from 0.4% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Cloud Data Integration Mindshare Distribution
ProductMindshare (%)
Fivetran3.9%
Tray.io1.4%
Other94.7%
Cloud Data Integration
 

Featured Reviews

Hafiz Usman - PeerSpot reviewer
Team Lead Data Engineer at Data Pilot
Has accelerated data integration workflows and supports seamless development of custom connectors
I've worked extensively with Fivetran, mainly used for extraction purposes, and I've worked with the transformation element in it as well. Fivetran not only has built-in connectors but also provides SDK connectors, allowing us to develop our own connectors in an easy manner. I don't have to write raw Python scripts or dumping scripts; it offers straightforward examples and guidelines, making it much simpler to develop custom connectors inside Fivetran. We've been able to develop many custom connectors as well, which is unique and beneficial for having everything centralized instead of having those connectors located elsewhere. One of the best features by Fivetran is its clean, simple, and intuitive UI. It includes a transformation section where I can deploy my DBT queries and scripts. It also supplies good tracking capabilities for billing estimates and user permissions, allowing for customization to the desired level. The number of connectors it has remains a standout feature, and within connectors, the options available are very helpful. Although it sometimes appears static due to its built-in nature, it offers good flexibility for data transformation and caching, which I appreciate because it saves us extensive script-writing time.
Amrit Dash - PeerSpot reviewer
Automation Engineer at a educational organization with 11-50 employees
Automated student enrollments have reduced manual work and now free our team for higher-value support
Tray.io is definitely a highly powerful tool, but there are three main areas that I feel could be improved. There is a steep learning curve in user accessibility; the builder is highly developer-centric, making it difficult for a non-technical team member to modify or troubleshoot workflows. Introducing a more intuitive visual interface similar to what we have in make.com right now would make the platform much more collaborative and easier to work with for any non-technical folks or newly onboarded engineers, allowing them to be briefed faster. Visual debugging is another area where troubleshooting complex nested loops can feel very abstract. Having clearer, more visual step-by-step data tracking during test runs would speed up the development and testing process. The pricing model is geared heavily towards enterprise budgets; offering more flexible mid-market pricing tiers would make it more accessible for a growing organization that wants a small start and scale up gradually. The core platform security is highly robust and easily meets our requirements for SOC 2 and GDPR compliance. However, when utilizing their AI features such as Merlin AI with sensitive student data, we maintain a very cautious approach. While Tray.io provides enterprise-grade governance guardrails and data masking capabilities, our internal compliance policies prevent us from passing any personally identifiable student information directly through AI-driven processors. We trust Tray.io's underlying infrastructure security, but we believe organizations must still enforce strict data filtering protocols on their end to ensure student privacy is maintained. During our evaluation, we tested the AI capabilities in a sandbox environment, primarily using it to generate workflow drafts and natural language prompts from web data schemas. Strength-wise, it is highly capable when it comes to translating simple text descriptions into functional workflow templates. It serves as a great accelerator, helping to map standard files quickly and reducing the initial setup time for basic integrations. For issues, in the case of highly custom APIs or deeply nested data structures, accuracy declines. We noticed occasional misinterpretation of complex schemas, meaning our developers still had to manually review and correct the outputs. It is a highly helpful productivity booster but still requires human oversight for enterprise-grade reliability.
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Top Industries

By visitors reading reviews
Financial Services Firm
13%
Manufacturing Company
9%
Computer Software Company
8%
Construction Company
6%
Construction Company
14%
Comms Service Provider
13%
Outsourcing Company
12%
Healthcare Company
10%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business10
Midsize Enterprise7
Large Enterprise16
By reviewers
Company SizeCount
Small Business4
Midsize Enterprise1
Large Enterprise4
 

Questions from the Community

What's the deal with the HVR software acquisition?
As a user of HVR Software I followed this deal closely. Fivetran is apparently trying to establish more in its sector and by buying an already established data replication software, they become som...
Does HVR Software provide reliable insights?
I honestly can't think of another data replication software that can give you better statistics and insight than HVR Software. There's the feature for topology and statistics and both of them can ...
How much traffic can HVR Software handle?
As someone who works at a company where a high volume of information is replicated and has tried several data replication softwares, I can tell you that you're looking at the right one. HVR Softwar...
What needs improvement with Tray.io?
To improve Tray.io, I wish that there was an easier way to download the information of our workflows to have it in some form of an Excel file that explains our workflows that we built, because we h...
What is your primary use case for Tray.io?
My main use case for Tray.io is creating workflows to work with our Zendesk and our other application services. A specific example of a workflow I have set up with Tray.io is that we use our employ...
What advice do you have for others considering Tray.io?
Honestly, I am not sure that we have used anything that really shows how AI helps us with Tray.io at this point. We are still at the basic level of just doing the very basics and have not used any ...
 

Comparisons

 

Overview

 

Sample Customers

Autodesk, Condé Nast, JetBlue, Morgan Stanley, OpenAI, LVMH, Pfizer, Verizon, SpotifyNational Australia Bank, Saks, Cemex, Okta, Dropbox, Pitney Bowes, World Fuel Services,Lufthansa, AutoZone, ASICS, ASOS, Coupa, Databricks, Hermes, New Relic, Intercom,Canva, Honeywell, Square, DocuSign, Nandos, Oldcastle Infrastructure
Copper, DigitalOcean, Udemy, AdRoll, FICO, Outreach
Find out what your peers are saying about Fivetran vs. Tray.io and other solutions. Updated: June 2026.
908,834 professionals have used our research since 2012.