Compare Pentaho Data Integration vs. Spring Cloud Data Flow

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Most Helpful Review
Find out what your peers are saying about Pentaho Data Integration vs. Spring Cloud Data Flow and other solutions. Updated: May 2021.
512,221 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 a free to use community version.""The amount of data that it loads and processes is good.""Pentaho Data Integration is quite simple to learn, and there is a lot of information available online."

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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."

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Cons
"It's not very stable, at least not in the case of the community edition. I'm working with the community edition right now and I think perhaps it is because of that it is not very stable, it causes the system to sometimes hang. I'm not sure if this is the case for pair tiers.""I would like to see improvements made for real-time data processing.""I'm still in the very recent stage concerning Pentaho Data Integration, but it can't really handle what I describe as "extreme data processing" i.e. when there is a huge amount of data to process. That is one area where Pentaho is still lacking."

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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."

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Pricing and Cost Advice
"The price of the regular version is not reasonable and it should be lower.""Sometimes we provide the licenses or the customer can procure their own licenses. Previously, we had an enterprise license. Currently, we are on a community license as this is adequate for our needs."

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

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Questions from the Community
Top Answer: Hi Rajneesh, yes here is the feature comparison between the community and enterprise edition :… more »
Top Answer: Depends upon the technologies being used. If you're using Oracle for both OLTP and OLAP then you'll get a lot of value from an Oracle solution. The other question is how up to date do you want your… more »
Top Answer: Pentaho Data Integration is quite simple to learn, and there is a lot of information available online.
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
16th
Views
9,383
Comparisons
7,675
Reviews
3
Average Words per Review
652
Rating
7.7
19th
Views
5,813
Comparisons
4,662
Reviews
2
Average Words per Review
1,101
Rating
8.0
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Also Known As
Kettle
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Overview

Pentaho data integration prepares and blends data to create a complete picture of your business that drives actionable insights. The complete data integration platform delivers accurate, "analytics ready" data to end users from any source. With visual tools to eliminate coding and complexity, Pentaho puts big data and all data sources at the fingertips of business and IT users alike.

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 Pentaho Data Integration
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Sample Customers
66Controls, Providential Revenue Agency of Ro Negro, NOAA Information Systems, Swiss Real Estate Institute
Information Not Available
Top Industries
REVIEWERS
Government15%
Comms Service Provider15%
Healthcare Company15%
Financial Services Firm15%
VISITORS READING REVIEWS
Computer Software Company28%
Comms Service Provider20%
Financial Services Firm8%
Government7%
VISITORS READING REVIEWS
Computer Software Company30%
Financial Services Firm14%
Comms Service Provider13%
Retailer6%
Company Size
REVIEWERS
Small Business25%
Midsize Enterprise25%
Large Enterprise50%
No Data Available
Find out what your peers are saying about Pentaho Data Integration vs. Spring Cloud Data Flow and other solutions. Updated: May 2021.
512,221 professionals have used our research since 2012.

Pentaho Data Integration is ranked 16th in Data Integration Tools with 3 reviews while Spring Cloud Data Flow is ranked 19th in Data Integration Tools with 2 reviews. Pentaho Data Integration is rated 7.6, while Spring Cloud Data Flow is rated 8.0. The top reviewer of Pentaho Data Integration writes "Free to use, easy to set up, and has a great metadata injection feature". On the other hand, the top reviewer of Spring Cloud Data Flow writes "Good logging mechanisms, a strong infrastructure and pretty scalable". Pentaho Data Integration is most compared with Talend Open Studio, SSIS, Informatica PowerCenter, Oracle Data Integrator (ODI) and IBM InfoSphere DataStage, whereas Spring Cloud Data Flow is most compared with Apache Flink, Cloudera DataFlow, Apache Spark Streaming, Mule Anypoint Platform and TIBCO BusinessWorks. See our Pentaho Data Integration vs. Spring Cloud Data Flow report.

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We monitor all Data Integration Tools 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.