Fivetran vs IBM InfoSphere DataStage comparison

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Fivetran Logo
4,401 views|2,957 comparisons
86% willing to recommend
IBM Logo
10,952 views|9,105 comparisons
82% willing to recommend
Comparison Buyer's Guide
Executive Summary

We performed a comparison between Fivetran and IBM InfoSphere DataStage based on real PeerSpot user reviews.

Find out in this report how the two Data Integration solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.
To learn more, read our detailed Fivetran vs. IBM InfoSphere DataStage Report (Updated: May 2024).
771,212 professionals have used our research since 2012.
Featured Review
Quotes From Members
We asked business professionals to review the solutions they use.
Here are some excerpts of what they said:
Pros
"Fivetran's most valuable feature is replication.""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.""The most valuable feature of Fivetran is that it only synchronizes what needs to be synchronized.""It is not like a traditional ETL, but it gives quite a lot of flexibility.""The solution is stable. We've never faced any stability issues.""Making the decision to implement Fivetran was supported by the fact that they have better connectors than other competitors.""SysTrack load is the best feature.""The ease of usability is the most valuable feature. It's very easy and quick to set up. It also has a central hub as opposed to GoldenGate which is one direct interface. For GoldenGate I would have needed three interfaces whereas with HVR I have a central interface that manages everything."

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"We can view what we want to do. We can transform data and put them on tables.""It's a robust solution.""We like the flexibility of modeling.""The solution's scalability is really good...we are using multi-instance jobs where you can scale them easily.""ETL is the most valuable feature.""In IBM DataStage, the Transformer is the most valuable feature for me. It enables me to apply complex transformations, generate the gateway key, and map source tables into the session table.""It works with multiple servers and offers high availability.""The solution has improved the time it takes to perform tasks related to batch applications."

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Cons
"Fivetran would be improved by adding the ability to integrate the data from third-party APIs.""The customization could improve because Fivetran gives more thought to people who don't want to manage analytics workflows rather than engineers who want to be able to customize pipelines more thoroughly.""It should have a few more monitoring functionalities.""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.""The environment must be more development-friendly.""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.""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."

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"It would be useful to provide support for Python, AR, and Java.""There are three things that could improve - the cloud, monitoring and cloud integration. It's a solid product but not a modern one and of course it depends what you're looking for.""It takes a lot of time to actually trigger your job and then go into the logs and other stuff. So all of this is really time-consuming.""The graphical user interface (GUI) feels a lot like the interfaces from the 1980s.""The solution should be more user-friendly.""In terms of intermediate storage, we have some challenges, especially with customers who store data in intermediate locations.""Their web interface is good but the on-prem sites are outdated. The solution could also be improved if they could integrate the data pipeline scheduling part of their interface.""The solution can be a bit more user-friendly, similar to Informatica."

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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."
  • "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."
  • "Fivetran is very expensive, and its database-driven pricing model is outdated."
  • "I can't give exact amounts because that's based on usage, but it's more expensive than some of its competitors."
  • "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 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 pricing model is okay and mid to large companies will not have an issue with it."
  • "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."
  • More Fivetran Pricing and Cost Advice →

  • "High-cost of ownership: They could take a page from open source software."
  • "Pricing varies based on use, and it is not as costly as some competing enterprise solutions."
  • "Small and medium-sized companies cannot afford to pay for this solution."
  • "The cost is too high."
  • "It's very expensive."
  • "Our internal team takes care of group licensing and cost. We don't have individual licenses. We have group licensing at the company level. Usually, IBM doesn't charge anything separately on the licensing side. For storage and everything else, we are paying around $6,000 per month, which is not very high. It includes Linux data storage, execution, and licensing. They're charging $40 for one-hour execution. Based on that, we are spending around $2,000 on the production environment and $1,000 on the lower environment for testing and development-side executions. For the mainframe, we are using the Db2 mainframe database, and we are spending around $1,000 on the Db2 mainframe database as well. All this comes out to be around $6,000. We, however, would like to have some cost reduction."
  • "The price is expensive but there are no licensing fees."
  • "It is quite expensive."
  • More IBM InfoSphere DataStage Pricing and Cost Advice →

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    Questions from the Community
    Top Answer: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 some… more »
    Top Answer: 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… more »
    Top Answer: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 Software… more »
    Top Answer: My company currently uses the free version of the product, and we are definitely switching to a paid one. We needed a tool that can help us not only integrate our data but use it effectively. For the… more »
    Top Answer: I think the tool may cause some difficulties if you have not used other data integration solutions before. I have worked at companies that used different tools for data integration, and they work… more »
    Top Answer:IBM Cloud Paks makes a big difference in your data integration. My company has been using it alongside IBM InfoSphere DataStage and while the main product is good on its own, this one truly expands… more »
    Ranking
    13th
    out of 101 in Data Integration
    Views
    4,401
    Comparisons
    2,957
    Reviews
    15
    Average Words per Review
    603
    Rating
    8.0
    7th
    out of 101 in Data Integration
    Views
    10,952
    Comparisons
    9,105
    Reviews
    16
    Average Words per Review
    467
    Rating
    7.9
    Comparisons
    Learn More
    Overview

    Fivetran is a data integration and migration solution that centralizes data from various sources into a data warehouse (such as Snowflake or BigQuery) for analytics. Its most valuable features include replication and managed pipelines, integration with DBT for data transformation, and many source connections. 

    Fivetran is easy to use, with fast data migration and an intuitive portal for easy setup and troubleshooting. It has helped organizations integrate and manage data, saving time and resources.

    IBM InfoSphere DataStage is a high-quality data integration tool that aims to design, develop, and run jobs that move and transform data for organizations of different sizes. The product works by integrating data across multiple systems through a high-performance parallel framework. It supports extended metadata management, enterprise connectivity, and integration of all types of data.

    The solution is the data integration component of IBM InfoSphere Information Server, providing a graphical framework for moving data from source systems to target systems. IBM InfoSphere DataStage can deliver data to data warehouses, data marts, operational data sources, and other enterprise applications. The tool works with various types of patterns - extract, transform and load (ETL), and extract, load, and transform (ELT). The scalability of the platform is achieved by using parallel processing and enterprise connectivity.

    The solution has various versions, catering to different types of companies, which include the Server Edition, the Enterprise Edition, and the MVS Edition. Depending on which version a company has bought, different goals can be achieved. They include the following:

    • Designing data flows to extract information from multiple sources, transform the data, and deliver it to target databases or applications.

    • Delivery of relevant and accurate data through direct connections to enterprise applications.

    • Reduction of development time and improvement of consistency through prebuilt functions.

    • Utilization of InfoSphere Information Server tools for accelerating the project delivery cycle.

    IBM InfoSphere DataStage can be deployed in various ways, including:

    • As a service: The tool can be accessed from a subscription model, where its capabilities are a part of IBM DataStage on IBM Cloud Park for Data as a Service. This option offers full management on IBM Cloud.

    • On premises or in any cloud: The two editions - IBM DataStage Enterprise and IBM DataStage Enterprise Plus - can run workloads on premises or in any cloud when added to IBM DataStage on IBM Cloud Pak for Data as a Service.

    • On premises: The basic jobs of the tool can be run on premises using IBM DataStage.

    IBM InfoSphere DataStage Features

    The tool has various features through which users can integrate and utilize their data effectively. The components of IBM InfoSphere DataStage include:

    • AI services: The tool offers services such as data science, event messaging, data warehousing, and data virtualization. It accelerates processes through artificial intelligence (AI) and offers a connection with IBM Cloud Paks - the cloud-native insight platform of the solution.

    • Parallel engine: Through this feature, ETL performance can be optimized to process data at scale. This is achieved through parallel engine and load balancing, which maximizes throughput.

    • Metadata support: This feature of the product uses the IBM Watson Knowledge Catalog to protect companies' sensitive data and monitor who can access it and at what levels.

    • Automated delivery pipelines: IBM InfoSphere DataStage reduces costs by automating continuous integration and delivery of pipelines.

    • Prebuilt connectors: The feature for prebuilt connectivity and stages allows users to move data between multiple cloud sources and data warehouses, including IBM native products.

    • IBM DataStage Flow Designer: This feature offers assistance through machine learning design. The product offers its clients a user-friendly interface which facilitates the work process.

    • IBM InfoSphere QualityStage: The tool provides a feature that automatically resolves data quality issues and increases the reliability of the delivered data.

    • Automated failure detection: Through this feature, companies can reduce infrastructure management efforts, relying on the automated detection that the tool offers.

    • Distributed data processing: Cloud runtimes can be executed remotely through this feature while maintaining its sovereignty and decreasing costs.

    IBM InfoSphere DataStage Benefits

    This solution offers many benefits for the companies that utilize it for data integration. Some of these benefits include:

    • Increased speed of workload execution due to better balancing and a parallel engine.

    • Reduction of data movement costs through integrations and seamless design of jobs.

    • Modernization of data integration by extending the capabilities of companies' data.

    • Delivery of reliable data through IBM Cloud Pak for Data.

    • Utilization of a drag-and-drop interface which assists in the delivery of data without the need for code.

    • Effective data manipulation allows data to be merged before being mapped and transformed.

    • Creating easier access of users to their data by providing visual maps of the process and the delivered data.

    Reviews from Real Users

    A data/solution architect at a computer software company says the product is robust, easy to use, has a simple error logging mechanism, and works very well for huge volumes of data.

    Tirthankar Roy Chowdhury, team leader at Tata Consultancy Services, feels the tool is user-friendly with a lot of functionalities, and doesn't require much coding because of its drag-and-drop features.

    Sample Customers
    DocuSign, Oldcastle Infrastructure, Crossmedia, Talkdesk, Chubbies, Brandwatch
    Dubai Statistics Center, Etisalat Egypt
    Top Industries
    REVIEWERS
    Manufacturing Company42%
    Outsourcing Company17%
    Transportation Company8%
    Financial Services Firm8%
    VISITORS READING REVIEWS
    Educational Organization24%
    Computer Software Company11%
    Financial Services Firm11%
    Manufacturing Company9%
    REVIEWERS
    Computer Software Company50%
    Insurance Company14%
    Transportation Company7%
    Healthcare Company7%
    VISITORS READING REVIEWS
    Financial Services Firm26%
    Manufacturing Company11%
    Computer Software Company10%
    Insurance Company7%
    Company Size
    REVIEWERS
    Small Business17%
    Midsize Enterprise25%
    Large Enterprise58%
    VISITORS READING REVIEWS
    Small Business14%
    Midsize Enterprise30%
    Large Enterprise56%
    REVIEWERS
    Small Business45%
    Midsize Enterprise6%
    Large Enterprise49%
    VISITORS READING REVIEWS
    Small Business16%
    Midsize Enterprise9%
    Large Enterprise74%
    Buyer's Guide
    Fivetran vs. IBM InfoSphere DataStage
    May 2024
    Find out what your peers are saying about Fivetran vs. IBM InfoSphere DataStage and other solutions. Updated: May 2024.
    771,212 professionals have used our research since 2012.

    Fivetran is ranked 13th in Data Integration with 20 reviews while IBM InfoSphere DataStage is ranked 7th in Data Integration with 37 reviews. Fivetran is rated 8.0, while IBM InfoSphere DataStage is rated 7.8. The top reviewer of Fivetran writes "Solution reduces time-to-value; high ROI". On the other hand, the top reviewer of IBM InfoSphere DataStage writes "User-friendly with a lot of functions for transmission rules, but has slow performance and not suitable for a huge volume of data". Fivetran is most compared with AWS Database Migration Service, Qlik Replicate, Azure Data Factory, Oracle GoldenGate and Informatica Cloud Data Integration, whereas IBM InfoSphere DataStage is most compared with IBM Cloud Pak for Data, SSIS, Azure Data Factory, Talend Open Studio and Informatica PowerCenter. See our Fivetran vs. IBM InfoSphere DataStage report.

    See our list of best Data Integration vendors and best Cloud Data Integration vendors.

    We monitor all Data Integration reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.