Fivetran Reviews

Name: Fivetran
Brand: Fivetran
Rating: 4.0 (26 reviews)

4.0 out of 5

26 reviews
89% willing to recommend

1,036 followers

What is Fivetran?

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

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Fivetran is the #3 ranked solution in top Data Replication solutions, #8 ranked solution in top Cloud Data Integration solutions, and #12 ranked solution in top Data Integration Tools. PeerSpot users give Fivetran an average rating of 8.0 out of 10. Fivetran is most commonly compared to Informatica Intelligent Data Management Cloud (IDMC): Fivetran vs Informatica Intelligent Data Management Cloud (IDMC). Fivetran is popular among the large enterprise segment, accounting for 54% of users researching this solution on PeerSpot. The top industry researching this solution are professionals from a educational organization, accounting for 25% of all views.

Helped 847,862 peers since 2012

Featured Fivetran reviews

Mediha Šiljić

Lead Data Engineer at Sensilab

Fivetran could improve by adapting more for technical users and by providing more options for such users. There should be more adaptability in terms of new features. If a specific feature is required, it should be integrated promptly. Improvement in existing connectors with new features is desirable. Enhancements around customer-focused product adaptation are also suggested.

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Erik Jones

Head of BI and Analytics at HyperScience

Fivetran has room for improvement in data pipeline observability. The Fivetran logs are fairly basic, compared to, for example, the insight Fivetran gives into helping users understanding the performance of data pipelines. So I think their observability into the pipeline itself could be improved. In addition, Fivetran is in the very early stages of allowing other companies to access its metadata API, but that's something that could use improvement, and I know that they're working on right now. 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. It would be nice if Fivetran offered both their regular offering plus the reverse ETL option as well.

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Manoj Bansal

Director Data Engineering, Governance, Operation and Analytics Platform at a financial services firm with 10,001+ employees

Fivetran has multiple offerings and I have majorly worked with the high volume replication feature. An in-line data quality checking capability is missing in the solution. Whatever data gets synced or converted from one format to another as part of an ETL task using Fivetran, a data quality check cannot be performed. As part of the data observation, when the data flows from the source to the target, there isn't a single interface provided by Fivetran to observe the data flow process, check for issues, and implement a comparison with historical transformation. The data observability could also be better in the product in terms of the gaps present.

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Fivetran mindshare

Product category:

As of April 2025, the mindshare of Fivetran in the Data Integration category stands at 2.2%, up from 1.9% compared to the previous year, according to calculations based on PeerSpot user engagement data.

Data Integration

PeerAnalyst reports based on Fivetran reviews

Type	Title	Date
Category	Data Integration	Apr 16, 2025	Download
Product	Reviews, tips, and advice from real users	Apr 16, 2025	Download
Comparison	Fivetran vs Azure Data Factory	Apr 16, 2025	Download
Comparison	Fivetran vs Informatica PowerCenter	Apr 16, 2025	Download
Comparison	Fivetran vs Informatica Intelligent Data Management Cloud (IDMC)	Apr 16, 2025	Download

Title	Rating	Mindshare	Recommending
Informatica Intelligent Data Management Cloud (IDMC)	3.9	4.6%	93%	182 interviews Add to research
Azure Data Factory	4.0	9.5%	92%	90 interviews Add to research

Valuable Features

Fivetran stands out for its ease of use and fast setup, featuring seamless connectors and integration capabilities. Users appreciate its ability to manage and maintain pipelines efficiently, with real-time syncing and intuitive interfaces. Its transformation tools, including DBT integration and data pipelines, are highly regarded. Scalability and simplicity are significant advantages, with detailed logging and auditing. It enables flexible data ingestion and supports a wide range of data sources effectively, reducing manual coding requirements.

"Overall, I would rate Fivetran nine out of ten."
"The user interface is mostly UI-based, eliminating the need for a lot of coding."
"The ease of setting up the connectors and transformations is highly valuable."

Room for Improvement

Fivetran's improvements include expanding database integration, enhancing data transformations, and improving user interface and documentation. Additional connectors and better data security are needed, along with more flexible and informative logging capabilities. Users suggest a more competitive pricing structure and enhanced customization options, including support for hybrid on-premise and cloud solutions. Enhancements in customer support, data observability, and real-time processing speed are also requested, alongside better integration with platforms like Azure and SAP.

"Their pricing has increased over the years, so it's not seen as an advantage anymore."
"There is not a lot of options to customize the pipeline, and the cost is high."
"I would like to see an improvement in the support offered by Fivetran."

ROI

Organizations experience significant time savings with Fivetran, eliminating the need for multiple data engineers. The platform reduces lead times for data ingestion by 60 to 80 percent and decreases pipeline maintenance time. Savings include 60 to 70 percent increased development hours. However, high costs limit ROI for some users. Fivetran simplifies manual integrations, allowing users to focus on core operations, although recurring price increases are noted.

Pricing

Enterprise buyers find Fivetran pricing generally expensive compared to some competitors, with costs influenced by the amount of data ingested. Licensing models vary, often requiring negotiation, and can be considered opaque, with automatic renewals sometimes problematic. Discounts are available, but costs are typically high. The pricing favors larger companies with significant data movement, becoming more cost-effective as usage scales. Smaller companies may struggle with affordability due to limited upfront offerings and the absence of a free tier.

"The product is reasonably expensive"
"I rate the pricing a six out of ten."
"The solution is affordable."

Popular Use Cases

Fivetran is primarily used for data integration, enabling businesses to extract, load, and transform data from multiple sources into a centralized warehouse for analytics. It facilitates data replication, migration, and synchronization with systems like Salesforce, NetSuite, and Google Analytics. Utilizing change data capture and high-volume replication, companies streamline their data engineering processes and reduce operational costs. Its SaaS and ELT framework support ease of use and adaptability, especially in cloud environments.

Service and Support

Fivetran's customer support is praised for quick and efficient responses, especially on enterprise plans, with some users rating it as high as nine out of ten. Though some users note delays, especially for less critical issues, communication is usually helpful, personal, and constantly updated. However, some experience barriers that cause prolonged wait times. Overall, feedback includes both high satisfaction and suggestions for faster response times, leading to mixed ratings. Fivetran's adaptability to user needs varies.

Deployment

Many found Fivetran's initial setup straightforward, especially when provided documentation or using common data sources, though some complexity arose with older configurations or larger deployments. Cloud-based deployments were generally easier than on-premise setups, with intuitive step-by-step guidance available. Some required minimal personnel for implementation, and experienced users found it intuitive. Others noted that while easy for data-centric users, startups or SMEs might find it challenging due to enterprise-level complexity.

Scalability

Fivetran's scalability is appreciated by both large enterprises and smaller companies. It effectively handles data integration needs, although it can become costly with extensive data usage. Users highlight its adaptability across various data volumes and connectors, supporting both direct and indirect users. It is praised for flexibility in cost management and its ability to integrate new data sources efficiently. Some comments mention the importance of tuning capabilities and support from Fivetran for a seamless experience.

Stability

Fivetran is generally considered stable and reliable, with many users experiencing minimal issues. Some reports mention varying stability depending on specific connectors and rare critical errors taking time to resolve. Most users find Fivetran’s uptime excellent, with self-recovering capabilities for minor issues. Although advanced API usage may encounter challenges, infrastructure typically maintains high availability. A few users expressed concerns over vendor support affecting stability during problem resolution, but they frequently rate it high on stability.

These insights are based on the in-depth reviews provided by peers to help you make a better buying decision.

Download our Fivetran Buyer's Guide for additional reliable information.

Review data by company size

By reviewers

By visitors reading reviews

Top industries

By visitors reading reviews

Educational Organization

25%

Computer Software Company

12%

Financial Services Firm

11%

Manufacturing Company

Healthcare Company

Retailer

Insurance Company

University

Government

Pharma/Biotech Company

Real Estate/Law Firm

Wholesaler/Distributor

Transportation Company

Energy/Utilities Company

Comms Service Provider

Media Company

Construction Company

Consumer Goods Company

Non Profit

Hospitality Company

Performing Arts

Legal Firm

Outsourcing Company

Logistics Company

Aerospace/Defense Firm

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Fivetran customers

Autodesk, Condé Nast, JetBlue, Morgan Stanley, OpenAI, LVMH, Pfizer, Verizon, Spotify
National 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