Try our new research platform with insights from 80,000+ expert users

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:
 

Categories and Ranking

Fivetran
Ranking in Cloud Data Integration
7th
Average Rating
8.0
Reviews Sentiment
6.8
Number of Reviews
28
Ranking in other categories
Data Integration (12th), Data Replication (3rd)
Tray.io
Ranking in Cloud Data Integration
26th
Average Rating
0.0
Number of Reviews
0
Ranking in other categories
Process Automation (43rd), Low-Code Development Platforms (54th), Integration Platform as a Service (iPaaS) (22nd)
 

Mindshare comparison

As of October 2025, in the Cloud Data Integration category, the mindshare of Fivetran is 5.5%, up from 4.5% compared to the previous year. The mindshare of Tray.io is 0.7%, up from 0.4% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Cloud Data Integration Market Share Distribution
ProductMarket Share (%)
Fivetran5.5%
Tray.io0.7%
Other93.8%
Cloud Data Integration
 

Featured Reviews

Vigneswar Jeyaraj - PeerSpot reviewer
Real-time data replication and integration streamline processes and enhance productivity
The most valuable feature of Fivetran so far is the data replication. 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. Even when an error occurs, it automatically tries to solve the issue without manual interaction needed. The effectiveness of Fivetran's pre-built connectors in enhancing my customer's productivity is significant because everything is easily configurable. The documentation is very clear, so there's no difficulty in finding the necessary steps. Everything is pre-documented. The pre-built connectors that are available are excellent. Most functionalities are covered, and in most cases, it works according to expectations.
Use Tray.io?
Share your opinion
report
Use our free recommendation engine to learn which Cloud Data Integration solutions are best for your needs.
868,787 professionals have used our research since 2012.
 

Top Industries

By visitors reading reviews
Computer Software Company
12%
Financial Services Firm
12%
Manufacturing Company
11%
Retailer
6%
Computer Software Company
24%
Outsourcing Company
14%
Comms Service Provider
10%
Healthcare Company
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business9
Midsize Enterprise7
Large Enterprise16
No data available
 

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...
Ask a question
Earn 20 points
 

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 Amazon Web Services (AWS), Informatica, Salesforce and others in Cloud Data Integration. Updated: September 2025.
868,787 professionals have used our research since 2012.