CData Connect Cloud vs Fivetran comparison

Read 29 Fivetran reviews

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90% willing to recommend

CData Connect Cloud

Comparison Buyer's Guide

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Executive Summary

We performed a comparison between CData Connect Cloud and Fivetran based on real PeerSpot user reviews.

Find out what your peers are saying about Amazon Web Services (AWS), Informatica, Salesforce and others in Cloud Data Integration.

To learn more, read our detailed Cloud Data Integration Report (Updated: January 2026).

Cloud Data Integration

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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

CData Connect Cloud

Ranking in Cloud Data Integration

29th

Average Rating

8.0

Reviews Sentiment

5.8

Number of Reviews

Ranking in other categories

Data Virtualization (7th)

Fivetran

Ranking in Cloud Data Integration

9th

Average Rating

8.2

Reviews Sentiment

6.8

Number of Reviews

Ranking in other categories

Data Integration (13th), Data Replication (3rd)

Mindshare comparison

As of January 2026, in the Cloud Data Integration category, the mindshare of CData Connect Cloud is 0.8%, up from 0.3% compared to the previous year. The mindshare of Fivetran is 4.5%, up from 4.6% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Cloud Data Integration Market Share Distribution
Product	Market Share (%)
Fivetran	4.5%
CData Connect Cloud	0.8%
Other	94.7%

Cloud Data Integration

Featured Reviews

Zain Amjed

Business Intelligence Manager at a real estate/law firm with 5,001-10,000 employees

Accurate data and reliable

CData Connect is used to extract data from our own Facebook ads campaigns The most valuable feature of CData Connect is the accuracy of the data. The amount of data that can be extracted at one point in time should be improved. I have been using CData Connect for approximately three months.…

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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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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 CData Connect is the accuracy of the data."

"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."

"You can manage all of your connectors individually, which gives you a very good ability to trace which one of your ETL processes is running and when."

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

"Fivetran offers native connectivity with Sybase"

"The simplicity of the solution is its valuable feature."

"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."

"The portal is very intuitive and easy to use."

"Fivetran can perform data migration incredibly fast, depending on the source and target."

More Fivetran pros

Cons

"The amount of data that can be extracted at one point in time should be improved."

"Some of the pain points we're looking at are trying to integrate some of the items in the Microsoft stack, so SharePoint and Excel, and then some of the newer Azure services."

"The interface needs to be more user-friendly."

"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."

"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."

"There is not a lot of options to customize the pipeline, and the cost is high."

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

"Fivetran should add more connectors because its competitors, like Airbyte, have more connectors."

"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."

More Fivetran cons

Pricing and Cost Advice

Information not available

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

"I would say they're a little bit on the expensive side, and their contract process is not particularly good, but there is a lot of potential flexibility."

"I can't give exact amounts because that's based on usage, but it's more expensive than some of its competitors."

"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."

"The licensing costs are extremely high for the usage of somebody who has one GB or two GB of usage per day for real-time traffic. There are many other players in the market which are similarly priced or competitively priced. On average per month, it used to come around 12,000-15,000 USD, which is very high."

"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."

"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."

More Fivetran pricing and cost advice

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Top Industries

By visitors reading reviews

Healthcare Company

Hospitality Company

Outsourcing Company

Real Estate/Law Firm

Computer Software Company

12%

Manufacturing Company

10%

Financial Services Firm

10%

Retailer

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

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

Questions from the Community

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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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Product Reports

Cloud Data Integration

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Overview

Connect instantly to your favorite cloud apps and data solutions without installing software. CData simplifies the complexity by providing a consistent interface regardless of the source system. Get direct, live connectivity to any app, like Salesforce, SharePoint, and Workday, or data solution, like BigQuery, MongoDB, Snowflake, S3, and Databricks. And for any additional sources, you can use the API connector to create data connections in minutes without coding.

Effortlessly access and explore data directly from your favorite tools and platforms.

Purpose-built native clients for Power BI, Tableau, Microsoft Excel, Google Sheets, Looker Studio, AWS Glue, Python, and more
SQL Server virtualization for dozens of other cloud tools including Looker, Amazon QuickSight, Qlik Sense, SAP Analytics Cloud, Microsoft Power Apps, and more
Standards-based connectors for IT, developers, and data scientists, including JDBC, ODBC, and ADO.NET

With CData Connect Cloud, your organization can efficiently manage access to all cloud data from a single, high-performance, elastic platform that provides robust security and auditing capabilities. And, with granular user permissions, stakeholders can only access or modify the data they are authorized for in each source system.

CData Software

Fivetran, the global leader in data movement, is trusted by companies like OpenAI, LVMH, Pfizer, Verizon and Spotify to centralize data from SaaS applications, databases, files, and other sources into cloud destinations, including data lakes. With high-performance pipelines, seamless interoperability, and enterprise-grade security, Fivetran empowers organizations to modernize their data infrastructure, power analytics and AI, ensure compliance, and achieve transformative business outcomes. Learn more at Fivetran.com

Sample Customers

Adeptia, Tibco, Matillion, Exago, Izenda, Alfresco, Cisco, DataRobot, BigID, Combit

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

Cloud Data Integration