Fivetran vs IBM InfoSphere Information Server comparison

Why PeerSpot?

Fivetran and IBM are both solutions in the Data Integration category. Fivetran is ranked #13 with an average rating of 8.7, while IBM is ranked #34 with an average rating of 8.0. Fivetran holds a 1.8% mindshare in DI, compared to IBM’s 0.8% mindshare. Additionally, 90% of Fivetran users are willing to recommend the solution, compared to 100% of IBM users who would recommend it.

Fivetran

Read 29 Fivetran reviews

8,727 Views
5,498 Comparison Views

90% willing to recommend

IBM InfoSphere Information ...

Read 9 IBM InfoSphere Information Server reviews

3,238 Views
2,234 Comparison Views

100% willing to recommend

Fivetran

IBM InfoSphere Information ...

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Executive SummaryUpdated on Dec 19, 2024

IBM InfoSphere Information Server and Fivetran compete in the data integration category. Fivetran appears to have the upper hand due to its ease of deployment and attractive pricing model.

Features: IBM InfoSphere Information Server offers advanced data quality transformations, data governance, and a scalable architecture for enterprise needs. Fivetran provides seamless automated pipelines, a vast array of connectors, and simple maintenance-free operation appealing to efficiency-focused organizations.

Room for Improvement: IBM InfoSphere could improve by simplifying the deployment process, enhancing user-friendliness, and reducing initial setup complexity. Fivetran might expand its feature set to match enterprise-level customization, improve data transformation options, and enhance its support for hybrid cloud environments.

Ease of Deployment and Customer Service: Fivetran offers a straightforward deployment cutting down configuration time, favoring businesses seeking rapid solutions. IBM InfoSphere requires more configuration effort, suiting those desiring customized deployments. Both provide comprehensive support, yet Fivetran's approach gives it an advantage for quick-start projects.

Pricing and ROI: IBM InfoSphere involves a substantial initial investment that can yield high ROI due to its capabilities. Fivetran features a cost-effective subscription model attractive for budget-conscious businesses prioritizing immediate value and effective pricing.

To learn more, read our detailed Fivetran vs. IBM InfoSphere Information Server Report (Updated: September 2026).

Buyer's Guide

Fivetran vs. IBM InfoSphere Information Server

September 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

13th

Average Rating

8.2

Reviews Sentiment

6.8

Number of Reviews

Ranking in other categories

Data Replication (3rd), Cloud Data Integration (9th)

IBM InfoSphere Information ...

Ranking in Data Integration

34th

Average Rating

8.2

Reviews Sentiment

5.8

Number of Reviews

Ranking in other categories

Metadata Management (8th)

Mindshare comparison

As of September 2026, in the Data Integration category, the mindshare of Fivetran is 1.8%, down from 2.1% compared to the previous year. The mindshare of IBM InfoSphere Information Server is 0.8%, down from 0.9% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Integration Mindshare Distribution
Product	Mindshare (%)
Fivetran	1.8%
IBM InfoSphere Information Server	0.8%
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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MOHAMMAD-IQBAL

Senior Data Engineer at Mohammed Mansour Alrumiah

Faced challenges with customer support and documentation but have benefited from reliable data integration over the years

As for utilizing the platform's metadata management feature, I have not worked on that feature yet, but personally, I have done that. To evaluate the effectiveness of IBM InfoSphere Information Server's data integration capabilities, if IBM is providing all the solutions we are using, then it is definitely a helpful thing. Mostly, the other thing is that it is a big area including data governance, data lineage, data management, and metadata, but every customer is not putting that much effort and money on that. They mostly migrate the data, use it, and forget it, but slowly things are changing. I am working in Saudi Arabia, so here also data governance, data management, and those kinds of things are getting attention. Regarding how scalable IBM InfoSphere Information Server is, I need to learn how to tune performance and scalability on the cloud. I am familiar with localized hardware, but on the cloud, I still have to do the work around it. In the beginning, we estimate the load and based on that, we put the hardware, but if there is continuous increase, I believe IBM also faces problems. Scalability needs to be improved because once the demand comes, you should be able to improve it, but for that, documentation on how to add hardware or resources to the software needs to be proper. I do not have much hands-on experience with that.

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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

"We would have to hire multiple data engineers to do what Fivetran does and each would cost us about $200,000 a year."

"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 simplicity of the solution is its valuable feature."

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

"The solution is stable, and we've never faced any stability issues."

"The most important feature of the solution is its ability to build data pipelines in less time."

"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."

"HVR Software's most valuable features are that it's simple to use and allows us to use the command line to quickly complete the entire universal replicative setup."

More Fivetran pros

"Data connections, data partitioning, flexibility, and performance are the most valuable features."

"The initial IBM InfoSphere Information Server is straightforward and you can choose what type of installation you want, such as a customized installation, with clear-cut documentation that, if followed, works fine and the installation has not given us issues."

"This solution is extremely flexible and scalable."

"IBM InfoSphere Information Server is stable."

"Deploying the solution is straightforward for me."

"Stability-wise, I rate the solution a ten out of ten."

"The integration with different technologies is the most valuable feature."

"Over the years of working with IBM InfoSphere Information Server, I see basically the strength of the tool, capability, and load balancing, which I see is really good."

More IBM InfoSphere Information Server pros

Cons

"An in-line data quality checking capability is missing"

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

"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 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."

"The connections with SAP must be improved."

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

"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."

"Fivetran would be improved by adding the ability to integrate the data from third-party APIs."

More Fivetran cons

"IBM InfoSphere Information Server should be more scalable. It should have the option to change the configuration to run on a single, non-multiple node, or multi-threading processing."

"We have decided to decrease the usage of metadata management because we did not see any significant advantages."

"This solution would benefit from the engine being made more lightweight."

"There are certain shortcomings in the cloud side of the solution, where improvements are required."

"Their technical support needs improvement."

"Customer Service: It's poor."

"Heavy use of scratch disk which sometimes leads to failure."

"Unlike other tools, IBM tools do not provide much help from the internet, so additional support should be available."

Pricing and Cost Advice

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

"The solution is affordable."

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

"The product is reasonably expensive"

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

More Fivetran pricing and cost advice

"The licensing cost of IBM InfoSphere Information Server depends on how many users there are."

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Top Industries

By visitors reading reviews

Financial Services Firm

12%

Manufacturing Company

10%

Computer Software Company

Comms Service Provider

Financial Services Firm

15%

Construction Company

14%

Comms Service Provider

Manufacturing Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

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

By reviewers
Company Size	Count
Small Business	5
Midsize Enterprise	1
Large Enterprise	5

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 IBM InfoSphere Information Server?

We are using the on-premises version of IBM InfoSphere Information Server, but we feel that all new development is mainly for the cloud. We receive corrections of errors, but we do not see new func...

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What is your primary use case for IBM InfoSphere Information Server?

My usual use case for IBM InfoSphere Information Server is ETL, where we take data from one source to another data warehouse solution.

See all answers

What advice do you have for others considering IBM InfoSphere Information Server?

We are about to change our platform from IBM AIX to SUSE Linux, as our whole platform is changing, so everyone should change from IBM to SUSE Linux. It would be very difficult for us to have a diff...

See all answers

Comparisons

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Compared 3% of the time

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Informatica PowerCenter vs IBM InfoSphere Information Server

Compared 9% of the time

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Compared 8% of the time

Informatica Intelligent Data Management Cloud (IDMC) vs IBM InfoSphere Information Server

Compared 6% of the time

Oracle GoldenGate vs IBM InfoSphere Information Server

Compared 6% of the time

SAP Business Data Cloud vs IBM InfoSphere Information Server

Compared 2% of the time

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Product Reports

Buyer's Guide

Fivetran

September 2026

Download Fivetran product report

Buyer's Guide

Data Integration

September 2026

IBM InfoSphere Information Server report

Download IBM InfoSphere Information Server product report

Also Known As

No data available

InfoSphere Information Server, IBM Information Server

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

IBM InfoSphere Information Server integrates seamlessly with both structured and unstructured data environments, offering advanced ETL capabilities and efficient data handling for large-scale enterprise applications.

IBM InfoSphere Information Server is designed for enterprise-level data integration with a focus on efficient ETL processes. It excels in moving data between sources and data warehouses, particularly valuable in sectors such as retail banking. Users leverage its robust Parallel Extender for improved processing efficiency and DataStage administration for comprehensive task management. However, areas like technical support and scalability require growth, especially for cloud-based deployments. While the Cloud Pak for Data enables acceleration on the cloud, the on-premises approach often remains tied to traditional hardware configurations.

What are the crucial features?

Parallel Extender: Enhances data processing efficiency.
DataStage Administration: Facilitates comprehensive management of ETL tasks.
Change Capture: Monitors and tracks data modifications effectively.
Handling Partitioned Databases: Enables efficient data management across partitions.
Metadata Management: Despite limitations, offers basic insights and tracking.

What benefits or ROI should be evaluated?

Cloud Pak for Data: Accelerates data transformation in cloud environments.
ETL Capabilities: Provides robust extraction, transformation, and loading processes.
Versatility: Handles both structured and unstructured data efficiently.
Bulk Loads Parameter Sets: Enhances loading efficiency with bulk operations.

IBM InfoSphere Information Server is widely implemented in industries that require heavy data transformation, such as retail and financial services. Its robust ETL processes are essential for moving critical data between systems, ensuring streamlined data flow and integration across various platforms.

IBM

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

Canadian National Railway Company, Chickasaw Nation Division of Commerce, Swedish Armed Forces, BG RCI, Janata Sahakari Bank Ltd., University of Arizona, Biogrid Australia

Buyer's Guide

Fivetran vs. IBM InfoSphere Information Server

September 2026

Free Report: Fivetran vs. IBM InfoSphere Information Server

Find out what your peers are saying about Fivetran vs. IBM InfoSphere Information Server and other solutions. Updated: September 2026.

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