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: March 2026).

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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

8th

Average Rating

8.2

Reviews Sentiment

6.8

Number of Reviews

Ranking in other categories

Data Integration (12th), Data Replication (3rd)

Mindshare comparison

As of April 2026, in the Cloud Data Integration category, the mindshare of CData Connect Cloud is 0.8%, up from 0.4% compared to the previous year. The mindshare of Fivetran is 4.5%, down from 5.0% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Cloud Data Integration Mindshare Distribution
Product	Mindshare (%)
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."

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

"The solution is stable. We've never faced any stability issues."

"Fivetran provides time savings, cost reductions, and improvements in data quality, and when the time investment decreases, fewer developers are needed, which means significant savings."

"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."

"Fivetran is remarkably easy to use; I haven't encountered any other data integration tool that is as user-friendly."

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

"The compare feature is the most valuable piece of it."

"Making the decision to implement Fivetran was supported by the fact that they have better connectors than other competitors."

More Fivetran pros

Cons

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

"There is a limitation in the amount of data that can be imported. This should be increased."

"The documentation is decent, but it's hard to find information online about Fivetran. For example, if you try to search for an error code, you won't find much information about it in forums."

"Some features don't work as advertised for the platform/repository database, and HVR is not always the fastest at getting results."

"Fivetran is very expensive for data sources with a lot of rows, such as email data. I would like to see cheaper pricing for data sources like that."

"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."

"HVR Software's technical support could be improved. Whenever we log a case, the response that we get from the support is a bit delayed."

"I would like to see an improvement in the support offered by Fivetran."

"The connections with SAP must be improved."

More Fivetran cons

Pricing and Cost Advice

Information not available

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

"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."

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

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

"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."

"The solution is affordable."

More Fivetran pricing and cost advice

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Top Industries

By visitors reading reviews

Comms Service Provider

11%

Construction Company

11%

Outsourcing Company

10%

Healthcare Company

10%

Computer Software Company

11%

Financial Services Firm

10%

Manufacturing Company

Healthcare Company

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