Compare IBM InfoSphere DataStage vs. Spring Cloud Data Flow

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Most Helpful Review
Find out what your peers are saying about IBM InfoSphere DataStage vs. Spring Cloud Data Flow and other solutions. Updated: July 2021.
522,281 professionals have used our research since 2012.
Quotes From Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Pros
"The solution has improved the time it takes to perform tasks related to batch applications.""The product is a stable and powerful data management solution that can run in parallel mode for enhanced speed.""The most valuable feature is the ability to transfer information via notes.""DataStage works better with Linux operating systems when the application services are hosted on Linux system equipment, but it's powerful on Windows too.""The data lineage report can be filtered for reporting. The reports are user-friendly and take less time to find what you need.""The ETL tools are probably the most valuable feature. It has an IBM tool, a friendly UI and it makes things more comfortable.""The most valuable feature is the product's versatility to inject data.""Finding logs is very easy on the solution."

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"The most valuable feature is real-time streaming.""There are a lot of options in Spring Cloud. It's flexible in terms of how we can use it. It's a full infrastructure."

More Spring Cloud Data Flow Pros »

Cons
"The solution should be more user-friendly.""The interface needs work to be more user-friendly.""The documentation and in-application help for this solution need to be improved, especially for new features.""I really like this tool, but the administration should be on the same client application because a lot of administration features are not on the client-side, and they usually need to have administrative access. It's quite complicated to force IT teams to have separate administrative access from the developers.""We would be happy to see in next versions the ability to return several parameters from jobs. Now, jobs can return just one parameter. If they could return several parameters, that would be great.""Reduced cost would allow more customers to choose the product. It's quite expensive in relation to the cost of other similar solutions.""The interface needs improvement. It is really too technical. That is the main problem.""The template mapping could be easier."

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"Some of the features, like the monitoring tools, are not very mature and are still evolving.""The configurations could be better. Some configurations are a little bit time-consuming in terms of trying to understand using the Spring Cloud documentation."

More Spring Cloud Data Flow Cons »

Pricing and Cost Advice
"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 »

"This is an open-source product that can be used free of charge."

More Spring Cloud Data Flow Pricing and Cost Advice »

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Questions from the Community
Top Answer: The price is expensive but there are no licensing fees.
Top Answer: The initial setup could be more straightforward.
Top Answer: The configurations could be better. Some configurations are a little bit time-consuming in terms of trying to understand using the Spring Cloud documentation. The documentation on offer is not that… more »
Top Answer: Mostly the use cases are related to building a data pipeline. There are multiple microservices that are working in the Spring Cloud Data Flow infrastructure, and we are building a data pipeline… more »
Top Answer: While the deployment is on-premises, the data center is not on-premises. It's in a different geographical location, however, it was the client's own data center. We deployed there, and we installed… more »
Ranking
5th
Views
16,177
Comparisons
13,128
Reviews
15
Average Words per Review
523
Rating
7.7
19th
Views
6,065
Comparisons
4,815
Reviews
2
Average Words per Review
1,101
Rating
8.0
Popular Comparisons
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Overview
IBM InfoSphere DataStage integrates data across multiple systems using a high performance parallel framework, and it supports extended metadata management and enterprise connectivity. The scalable platform provides more flexible integration of all types of data, including big data at rest (Hadoop-based) or in motion (stream-based), on distributed and mainframe platforms.

Spring Cloud Data Flow is a toolkit for building data integration and real-time data processing pipelines.
Pipelines consist of Spring Boot apps, built using the Spring Cloud Stream or Spring Cloud Task microservice frameworks. This makes Spring Cloud Data Flow suitable for a range of data processing use cases, from import/export to event streaming and predictive analytics. Use Spring Cloud Data Flow to connect your Enterprise to the Internet of Anything—mobile devices, sensors, wearables, automobiles, and more.

Offer
Learn more about IBM InfoSphere DataStage
Learn more about Spring Cloud Data Flow
Sample Customers
Dubai Statistics Center, Etisalat Egypt
Information Not Available
Top Industries
REVIEWERS
Computer Software Company63%
Aerospace/Defense Firm13%
Healthcare Company13%
Financial Services Firm13%
VISITORS READING REVIEWS
Computer Software Company29%
Comms Service Provider14%
Financial Services Firm12%
Insurance Company7%
VISITORS READING REVIEWS
Computer Software Company30%
Financial Services Firm14%
Comms Service Provider13%
Retailer6%
Company Size
REVIEWERS
Small Business40%
Midsize Enterprise4%
Large Enterprise56%
No Data Available
Find out what your peers are saying about IBM InfoSphere DataStage vs. Spring Cloud Data Flow and other solutions. Updated: July 2021.
522,281 professionals have used our research since 2012.

IBM InfoSphere DataStage is ranked 5th in Data Integration Tools with 16 reviews while Spring Cloud Data Flow is ranked 19th in Data Integration Tools with 2 reviews. IBM InfoSphere DataStage is rated 7.8, while Spring Cloud Data Flow is rated 8.0. The top reviewer of IBM InfoSphere DataStage writes "Powerful, reliable and the ability to run it in parallel mode makes it very fast". On the other hand, the top reviewer of Spring Cloud Data Flow writes "Good logging mechanisms, a strong infrastructure and pretty scalable". IBM InfoSphere DataStage is most compared with SSIS, Azure Data Factory, Talend Open Studio, IBM InfoSphere Information Server and Informatica PowerCenter, whereas Spring Cloud Data Flow is most compared with Apache Flink, Cloudera DataFlow, TIBCO BusinessWorks, Apache Spark Streaming and Informatica PowerCenter. See our IBM InfoSphere DataStage vs. Spring Cloud Data Flow report.

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