Fivetran vs Hevo comparison

Why PeerSpot?

Fivetran and Hevo Data are both solutions in the Data Integration category. Fivetran is ranked #15 with an average rating of 9.0, while Hevo Data is ranked #47 with an average rating of 8.0. Fivetran holds a 1.8% mindshare in DI, compared to Hevo Data’s 0.5% mindshare. Additionally, 90% of Fivetran users are willing to recommend the solution, compared to 100% of Hevo Data users who would recommend it.

Fivetran

Read 29 Fivetran reviews

9,757 Views
6,147 Comparison Views

90% willing to recommend

Hevo

Read 2 Hevo reviews

1,463 Views
1,448 Comparison Views

100% willing to recommend

Fivetran

Hevo

Comparison Buyer's Guide

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Executive Summary

We performed a comparison between Fivetran and Hevo based on real PeerSpot user reviews.

Find out in this report how the two Data Integration solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.

To learn more, read our detailed Fivetran vs. Hevo Report (Updated: November 2026).

Buyer's Guide

Fivetran vs. Hevo

November 2026

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Helped 920,769 peers since 2012

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 Data Integration

15th

Average Rating

8.2

Reviews Sentiment

6.8

Number of Reviews

Ranking in other categories

Data Replication (4th), Cloud Data Integration (9th)

Hevo

Ranking in Data Integration

47th

Average Rating

8.0

Reviews Sentiment

2.2

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of November 2026, in the Data Integration category, the mindshare of Fivetran is 1.8%, down from 1.9% compared to the previous year. The mindshare of Hevo is 0.5%, up from 0.4% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Integration Mindshare Distribution
Product	Mindshare (%)
Fivetran	1.8%
Hevo	0.5%
Other	97.7%

Data Integration

Featured Reviews

Hafiz Usman

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.

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davidmwilliams

CIO / CTO / Head Of Data at Data Excellence

Centralizes customer data for fast analytics but has struggled with many concurrent data pipelines

Hevo could be improved as we hit limits, particularly when it couldn't keep up with the high number of databases we wanted to sync frequently—ideally updating everything hourly for near real-time analytics rather than a day behind. We found that with many pipelines, performance degraded. After discussing with Hevo engineers, I learned that Hevo is designed for fast individual pipelines, but struggles with many concurrent pipelines. They suggested that consolidating data from fewer pipelines with more fields would perform better, but even that failed when I tested it with a Business Central database that had numerous fields. Hevo does have limits on the number of pipelines it can manage concurrently and on the number of fields in a single pipeline.Additionally, the API was slower to release compared to the user interface and was not feature-complete, which was frustrating. That said, Hevo actively worked on bridging many gaps. Overall, these were significant pain points I encountered.

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Quotes from Members

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

Pros

"The most valuable feature of Fivetran is that it only synchronizes what needs to be synchronized."

"The ease of setting up the connectors and transformations is highly valuable."

"Fivetran's technical support is really good, and if you're on their enterprise plan, they usually respond within an hour and keep you continuously updated on progress."

"Its arrays are powerful enough to handle migrations even when the replication is happening in the background, without causing any trouble with the ongoing traffic."

"Fivetran's most valuable feature is replication."

"The general data ingestion is valuable. It's used for a lot of data. It provides about 90% of the data we use in our data warehouse without needing data engineering."

"It has improved the way our organization functions."

"For us, Fivetran has been able to scale both in terms of the data we bring into our warehouse and the amount of data that we use as well."

More Fivetran pros

"Hevo positively impacted my organization by allowing us to move data quickly and easily, enabling us to focus on our real challenge: performing analytics and reporting out of Snowflake with all customer data centralized despite using various applications."

"Hevo has positively impacted my organization by ensuring excellent usage of collected data, which is utilized in various workflows, including sales and marketing and customer relationship management, ultimately helping me serve clients better."

Cons

"The solution is very expensive. I would like to have a better integration of the solution with Azure."

"I would like for them to incorporate additional transformations. A valuable aspect of the product is that it does inflight transformations and that could be expanded."

"The biggest area for improvement is in customization, particularly in how Fivetran socializes its tools."

"The connections with SAP must be improved."

"We use a separate tool for "reverse ETL", which is the opposite of what Fivetran does; it pushes data from your data warehouse back out to business applications. If Fivetran pulls data from those same applications, they should also enable users to push it back. I would love to do both ETL and reverse ETL in the same tool."

"There was a random change to our contract in a unilateral manner after the first year. The overall cost of using Fivetran was then unclear and this is the reason I would not recommend this solution."

"The documentation can be laid out better to make it easier to find things, and I really wish there was built-in support for changing passwords. Some features don't work as advertised for the platform/repository database, and HVR is not always the fastest at getting results."

"We experience cost issues because Fivetran is charged on a usage basis. When you reach a certain level, the tool should focus on reducing the costs. The solution is expensive when you are moving gigabytes and petabytes of data. It should also focus more on REST APIs and webhooks."

More Fivetran cons

"Hevo could be improved as we hit limits, particularly when it couldn't keep up with the high number of databases we wanted to sync frequently—ideally updating everything hourly for near real-time analytics rather than a day behind."

"There are areas where Hevo could improve, particularly regarding its cost structure, as the pricing is based on usage and the advanced features can become costly for startups that are not well-established."

Pricing and Cost Advice

"The solution is affordable."

"Fivetran is very expensive, and its database-driven pricing model is outdated."

"When you have a lot of workflows and complex use cases, pricing goes down as you use it more."

"I rate the pricing a six out of ten."

"I don't have the exact information, but I know it is high, and it is on a yearly basis. There is no additional cost for what we're doing. We're always open to doing things cheaper, so we might potentially implement a different solution."

"I've heard that the license for HVR is a bit costly compared to its competitors, but since it's reliable and efficient, I think the customer shouldn't be bothered about the cost."

"In the first year, we were given a very good discount. It was approximately 20,000 Euros per year. In the third year, we purchased credit for two years and the price was 33,000 Euros per year."

"The pricing model is okay and mid to large companies will not have an issue with it."

More Fivetran pricing and cost advice

Information not available

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Top Industries

By visitors reading reviews

Financial Services Firm

13%

Manufacturing Company

Computer Software Company

Comms Service Provider

15%

Construction Company

11%

Security Firm

11%

Retailer

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	10
Midsize Enterprise	7
Large Enterprise	16

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...

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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 ...

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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...

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What needs improvement with Hevo?

There are areas where Hevo could improve, particularly regarding its cost structure, as the pricing is based on usage and the advanced features can become costly for startups that are not well-esta...

See all answers

What is your primary use case for Hevo?

Hevo is mainly used for data integration purposes, and I use it to form a pipeline or a gateway where data is collected from various data collection platforms or sources. Hevo is a data integration...

See all answers

What advice do you have for others considering Hevo?

I would rate this product highly based on my experience with it.

See all answers

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Compared 9% of the time

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Compared 8% of the time

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Product Reports

Buyer's Guide

Fivetran

October 2026

Download Fivetran product report

Buyer's Guide

Data Integration

October 2026

Download Hevo product report

Overview

Fivetran offers a seamless, scalable data integration platform with strong connectors and real-time synchronization. Tailored for managing ETL workflows and integrating with DBT, it appeals to organizations seeking efficient data management.

Fivetran distinguishes itself through its intuitive interface and extensive scalability, allowing businesses to manage entire ETL workflows seamlessly. Its robust connectors ensure smooth integration with multiple data sources, while transparent logging and minimal coding requirements enhance accessibility. With real-time data synchronization, organizations benefit from up-to-date insights for analytics and engineering purposes. While some users point out areas for improvement like better documentation and expanded integration options, Fivetran remains a cherished tool for centralizing data in data warehouses such as supporting change data capture, migrations, and synchronizations from systems like Salesforce, NetSuite, and Google Analytics. Operating within an ELT framework, it empowers businesses to streamline data processes without complex extraction logic.

What are the key features of Fivetran?

Ease of Use: Intuitive platform minimizing setup complexity
Scalability: Adapt to growing data needs efficiently
Powerful Connectors: Seamless integration with diverse data sources
Real-Time Synchronization: Instant data updates supporting timely insights
DBT Integration: Simplifies transformations within ETL workflows
Transparent Logging: Provides clear visibility into operations

Which benefits can users expect in reviews?

Cost-Effective Scalability: Manage increased data without significant financial impact
Minimal Coding: Reduces technical barriers enhancing accessibility
Comprehensive Data Management: Centralizes diverse data streams effectively
Timely Analytics: Real-time updates foster actionable insights
Streamlined Workflow Management: Efficiently handles complex ETL processes

In industry-specific implementation, Fivetran is integral for businesses requiring robust data integration to power analytics. Retailers utilize it to consolidate e-commerce data for sales insights, while finance firms rely on its capabilities to merge financial data for reporting. In the tech sector, it supports engineering teams by providing a reliable data pipeline that fuels app development and performance monitoring.

Fivetran

Hevo is an intuitive data integration platform designed to streamline real-time data collection and analysis for businesses. It offers a seamless way to automate data pipelines, eliminating the complexities associated with data management and integration.

Hevo provides an efficient data integration service that enables organizations to connect data from a range of sources into a unified destination for better analysis and decision-making. By supporting real-time data processing, Hevo helps businesses maintain updated analytics, ensuring they can quickly react to changing trends. With its no-code platform, it helps reduce dependency on IT teams, accelerating the integration process and facilitating quicker insights. This platform is suitable for businesses looking to simplify their data workflows and empower their analytics teams.

What are the key features of Hevo?

No-Code Data Pipelines: Build without technical expertise, enabling faster deployment of workflows.
Real-Time Data Processing: Ensure timely analytics to support immediate data-driven decisions.
Seamless Integrations: Connect with a broad range of data sources effortlessly.
Automated Schema Management: Adjust to changes in data walkthrough automation, reducing manual interventions.

What benefits should users expect from using Hevo?

Improved Efficiency: Automation reduces manual tasks, freeing up resources for strategic initiatives.
Enhanced Agility: Adapt swiftly to data changes, improving response times to market dynamics.
Cost Savings: Minimized need for technical resources lowers operational expenses.
Scalable Solutions: Flexible infrastructure supports growth without compromising performance.

Hevo is widely adopted across industries such as e-commerce, finance, and healthcare, where it facilitates efficient data integration and analytics. In e-commerce, Hevo aids in real-time inventory and customer insights. Financial sectors leverage it for fraud detection and compliance analysis, while healthcare providers use it to integrate patient data for improved outcomes.

Hevo Data

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

Deliverr, Meesho, Byju's, Envato, NZXT, Kazoo, Webedia, Airwallex, Cuvva, Opploans

Buyer's Guide

Fivetran vs. Hevo

November 2026

Free Report: Fivetran vs. Hevo

Find out what your peers are saying about Fivetran vs. Hevo and other solutions. Updated: November 2026.

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