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Compare SAP Analytics Hub vs. Spring Cloud Data Flow

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Featured Review
Find out what your peers are saying about SAP Analytics Hub vs. Spring Cloud Data Flow and other solutions. Updated: November 2021.
552,695 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
"For report scheduling, I always prefer SAP because it has the most powerful scheduling features, like sending reports to more than 1,000 customers per day. That option is not as good in Microsoft BI and in Tableau it only exists as an add-on option.""What I like best about this solution is that it is built into the SAP line, making it easier to integrate with other SAP products."

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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
"The interface can be simplified because it is not a user-friendly experience.""The analytics part of SAP has not been that good up until now. They're still in the infant stage and development is still going on. SAP has some cloud analytics and they're trying to configure it in Lumira, but it's not that good at this point."

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

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Pricing and Cost Advice
Information Not Available
"This is an open-source product that can be used free of charge."

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Ranking
29th
Views
861
Comparisons
578
Reviews
2
Average Words per Review
830
Rating
7.5
18th
Views
6,920
Comparisons
5,535
Reviews
2
Average Words per Review
1,101
Rating
8.0
Comparisons
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Overview

SAP Analytics Hub simplifies access to analytics scattered across multiple heterogeneous environments. The solution recommends the best analytics to fit personalized needs and grants users with actionable insights without compromising agility.

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 SAP Analytics Hub
Learn more about Spring Cloud Data Flow
Sample Customers
STIB-MIVB
Information Not Available
Top Industries
VISITORS READING REVIEWS
Computer Software Company35%
Comms Service Provider10%
Government7%
Financial Services Firm7%
VISITORS READING REVIEWS
Computer Software Company29%
Financial Services Firm14%
Comms Service Provider14%
Retailer6%
Find out what your peers are saying about SAP Analytics Hub vs. Spring Cloud Data Flow and other solutions. Updated: November 2021.
552,695 professionals have used our research since 2012.

SAP Analytics Hub is ranked 29th in Data Integration Tools with 2 reviews while Spring Cloud Data Flow is ranked 18th in Data Integration Tools with 2 reviews. SAP Analytics Hub is rated 7.6, while Spring Cloud Data Flow is rated 8.0. The top reviewer of SAP Analytics Hub writes "Semantic layers help with real-time reporting, but analytics need work". On the other hand, the top reviewer of Spring Cloud Data Flow writes "Good logging mechanisms, a strong infrastructure and pretty scalable". SAP Analytics Hub is most compared with SAP Analytics Cloud, Alteryx, SAP Data Hub, Microsoft BI and Jedox, whereas Spring Cloud Data Flow is most compared with Apache Flink, TIBCO BusinessWorks, Cloudera DataFlow, Mule Anypoint Platform and Apache Spark Streaming. See our SAP Analytics Hub vs. Spring Cloud Data Flow report.

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