Fivetran vs Python Connectors comparison

Fivetran and Devart are both solutions in the Data Integration category. Fivetran is ranked #12 with an average rating of 8.3, while Devart is ranked #34 with an average rating of 10.0. Fivetran holds a 1.9% mindshare in DI, compared to Devart’s 0.7% mindshare. Additionally, 90% of Fivetran users are willing to recommend the solution, compared to 100% of Devart users who would recommend it.

Fivetran

Read 29 Fivetran reviews

4,822 Views
3,038 Comparison Views

90% willing to recommend

Python Connectors

Read 1 Python Connectors review

644 Views
638 Comparison Views

100% willing to recommend

Fivetran

Python Connectors

Comparison Buyer's Guide

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Executive SummaryUpdated on Mar 1, 2026

Fivetran and Python Connectors are competing solutions in the data integration category. Fivetran generally takes the upper hand due to its automated and streamlined data pipeline capabilities, offering simple deployment and transparent pricing, making it favorable for standard data tasks.

Features: Fivetran provides an intuitive setup, automated data pipeline management, and real-time data replication, which is beneficial for organizations needing up-to-date insights. Python Connectors offer highly customizable options, significant flexibility for data workflows, and are ideal for unique data environments.

Ease of Deployment and Customer Service: Fivetran offers a straightforward deployment model, emphasizing ease and speed, with comprehensive support channels for quick query resolutions. Python Connectors require more technical proficiency but offer flexible deployment, well-suited to technically adept teams.

Pricing and ROI: Fivetran generally features a transparent pricing model, appreciated for predictable costs that align with usage and reducing labor-intensive data processes, offering good ROI. Python Connectors have a lower initial cost due to their open-source nature but may incur higher long-term expenses from extensive customization and maintenance.

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

Buyer's Guide

Data Integration

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

Fivetran

Ranking in Data Integration

12th

Average Rating

8.2

Reviews Sentiment

6.8

Number of Reviews

Ranking in other categories

Data Replication (3rd), Cloud Data Integration (8th)

Python Connectors

Ranking in Data Integration

34th

Average Rating

10.0

Reviews Sentiment

8.5

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of April 2026, in the Data Integration category, the mindshare of Fivetran is 1.9%, down from 2.1% compared to the previous year. The mindshare of Python Connectors is 0.7%, up from 0.0% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Integration Mindshare Distribution
Product	Mindshare (%)
Fivetran	1.9%
Python Connectors	0.7%
Other	97.4%

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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reviewer2761659

Product Engineer at a tech vendor with 10,001+ employees

Has improved data integration speeds and strengthened security through secure authentication

In my experience, the best features Python Connectors offers are easy database connectivity, support for secure authentication, and encryption options. We have used encrypted connections and secure authentication methods, so no plain text credentials have helped us, and we found it effective. We found that Python Connectors is compliance-friendly, very secure, and has no plain text passwords or anything.

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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

"It is easy for users to get accustomed to the tool due to its gentle learning curve and clear error transparency."

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

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

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

"Overall, I would rate Fivetran nine out of ten."

"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."

"SysTrack load is the best feature."

"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."

More Fivetran pros

"Since we started to use Python Connectors, we found it very reliable, and there are many measurable benefits of this."

Cons

"The experience of using SDK connectors can be improved, as it lacks computational power, which is an area that needs enhancement."

"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."

"The environment must be more development-friendly."

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

"The connections with SAP must be improved."

"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."

"It should have a few more monitoring functionalities."

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

More Fivetran cons

"Python Connectors might get a little less costly, making it a common tool rather than being an expensive or fancy tool."

Pricing and Cost Advice

"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."

"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."

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

"The solution is affordable."

"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."

"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."

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

"The product is reasonably expensive"

More Fivetran pricing and cost advice

Information not available

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Top Industries

By visitors reading reviews

Financial Services Firm

11%

Computer Software Company

10%

Manufacturing Company

Healthcare Company

Financial Services Firm

15%

Construction Company

12%

Healthcare Company

10%

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...

See all answers

What needs improvement with Python Connectors?

Python Connectors might get a little less costly, making it a common tool rather than being an expensive or fancy tool. It is much costlier than other products, but considering Python language bein...

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What is your primary use case for Python Connectors?

Python Connectors are mainly used to connect between the front-end and back-end of a project. It may seem like an API or a framework. We have used Python Connectors to create an employee dashboard....

See all answers

What advice do you have for others considering Python Connectors?

Python Connectors is actually very easy and user-friendly and accessible, and the most reliable feature is that it is user-friendly. The person who knows Python from top to end feels a master in it...

See all answers

Comparisons

SSIS vs Fivetran

Compared 6% of the time

Denodo vs Fivetran

Compared 5% of the time

AWS Database Migration Service vs Fivetran

Compared 4% of the time

Informatica Intelligent Data Management Cloud (IDMC) vs Fivetran

Compared 4% of the time

Oracle GoldenGate vs Fivetran

Compared 3% of the time

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SSIS vs Python Connectors

Compared 21% of the time

Microsoft Graph Data Connect vs Python Connectors

Compared 16% of the time

MuleSoft Composer vs Python Connectors

Compared 12% of the time

Oracle Data Integrator (ODI) vs Python Connectors

Compared 9% of the time

DataDirect vs Python Connectors

Compared 8% of the time

More Python Connectors Competitors

Product Reports

Buyer's Guide

Fivetran

April 2026

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Buyer's Guide

Data Integration

March 2026

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Overview

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

Fivetran

Python Connectors enable seamless integration between Python applications and a multitude of databases, enhancing data handling capabilities for developers. They provide reliable pipelines that facilitate data movement, ensuring efficient data management.

Python Connectors are instrumental in connecting Python applications with databases, ensuring efficient data transactions. These connectors offer dynamic adaptability across different database environments, catering to developers seeking streamlined data solutions. Their implementation enhances application performance by optimizing data access and reducing latency.

What are the most important features of Python Connectors?

Cross-Database Compatibility: Enables connectivity with multiple database types, enhancing flexibility.
Secure Connections: Offers robust encryption protocols ensuring data security during transactions.
High Performance: Facilitates rapid data retrieval and updates, minimizing downtime.

What benefits and ROI should users look for in reviews?

Improved Productivity: Streamlines data processes, which can lead to faster project completions.
Cost Efficiency: Reduces need for multiple solutions by providing a singular, versatile connection tool.
Enhanced Data Security: Protection of sensitive information reduces risk and potential financial liabilities.

In finance, Python Connectors streamline data analysis by connecting analytics tools directly to data sources, improving decision-making accuracy. Healthcare setups use them for secure patient data management between different databases, increasing efficiency in patient care. E-commerce leverages these connectors to update inventory systems in real-time, enhancing customer satisfaction through accurate stock management.

Devart

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

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