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Spring Cloud Data Flow vs TIBCO Spotfire comparison

 

Comparison Buyer's Guide

Executive Summary

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

Spring Cloud Data Flow
Average Rating
7.8
Reviews Sentiment
6.8
Number of Reviews
9
Ranking in other categories
Data Integration (20th), Streaming Analytics (11th)
TIBCO Spotfire
Average Rating
8.2
Reviews Sentiment
5.7
Number of Reviews
73
Ranking in other categories
BI (Business Intelligence) Tools (14th)
 

Mindshare comparison

Spring Cloud Data Flow and TIBCO Spotfire aren’t in the same category and serve different purposes. Spring Cloud Data Flow is designed for Data Integration and holds a mindshare of 1.2%, up 1.0% compared to last year.
TIBCO Spotfire, on the other hand, focuses on BI (Business Intelligence) Tools, holds 1.1% mindshare, up 1.1% since last year.
Data Integration Market Share Distribution
ProductMarket Share (%)
Spring Cloud Data Flow1.2%
SSIS3.7%
Informatica Intelligent Data Management Cloud (IDMC)3.5%
Other91.6%
Data Integration
BI (Business Intelligence) Tools Market Share Distribution
ProductMarket Share (%)
TIBCO Spotfire1.1%
Microsoft Power BI8.9%
Tableau Enterprise6.2%
Other83.8%
BI (Business Intelligence) Tools
 

Featured Reviews

LN
Senior Software Engineer at QBE Regional Insurance
Provides ease of integration with other cloud platforms
Spring Cloud Data Flow is a useful product if I consider how there are different providers with whom my company had to deal, and most of them offer cloud-based products. I can't explain any crucial circumstances where the product's integration capabilities were helpful, but the aforementioned details explain the scenario for which I used the solution. I was only involved with the development of the product and not with the data pipeline configuration phase. The use of Spring Cloud Data Flow greatly impacted projects' time to market since our company's intention was to actually deploy and ensure that the payment platform integrated with it, which was an easy process. The product's user interface was very intuitive. The tool was deployed in multiple environments, but I am not sure about the production. From the time I started taking up the job in my current organization, I saw that we have deployed the tool in multiple environments wherein the number of users extensively used the product in the UAT environment, which is one of the most stable environments. There were 20 different methods to test the tool. I wouldn't be able to tell you the production details of the tool as I was more part of the production deployment, but I can say that it was deployed with the intent of making it available for 10,000 users. Those who plan to use the product should enjoy the flexibility of the solution. I rate the tool a nine out of ten.
reviewer2774796 - PeerSpot reviewer
Data Governance Systems Specialist at a energy/utilities company with 1,001-5,000 employees
Clinical teams have transformed trial data into real-time, governed insights for faster decisions
Our client was a biotech company whose clinical pipeline was expanding with teams across clinical operations, biometrics, safety, and translational sciences. All these organizations and departments were drowning in data. Every week, teams stitched together different PowerPoint decks, SAS listings, spreadsheets, and extracts from central labs, CTMS, and warehouses. The problem was not a lack of data but a lack of timely insights. We were constantly asked which sites were falling behind, whether there was any worrying safety drift, or which biomarkers were correlating with response. Analysts would manually rerun scripts or pull static listings, which resulted in delays ranging from two weeks to a month. There were also many inconsistencies in definitions between ORR, PFS censoring rules, and protocol deviation categories, causing confusion and rework. Our client wanted a single analytic environment to serve as a one-stop place where their teams could explore, visualize, and collaborate in real time while maintaining security and regulatory expectations. TIBCO Spotfire became their live analytics workspace. Previously, teams had to collect emailed spreadsheets and various documents. By having one combined place, teams could open dynamic dashboards that were directly governed by curated datasets. The data canvas showed every transformation step, which helped the client maintain traceability for audits. Data functions written in R or Python allowed statisticians to encode and have approved analytic methods that could be used everywhere. Before implementing the tool, we built a framework and strategy. First, we mapped their high-value pain points including trial enrollment forecasting, safety drift monitoring, protocol deviation detection, and biomarker response analysis. Based on these priorities, we defined common language and common rules by aligning calculations with CDISC standards and creating shared data functions for lab shift rules and biomarker classifications. This prevented inconsistent interpretations across studies. We then built the technical foundation by connecting TIBCO Spotfire securely to their EDC, R environment, data lake, and row-level security to ensure adherence to PHI, PII, and regulatory compliances. Clinical operations dashboards provided real-time insights into enrollments and deviations. Safety dashboards were deployed to visualize patterns, biomarker distributions, and tumor burden changes for their cancer-related drug studies. The business validated the dashboards based on GxP principles, and we trained the study teams and built new templates so that trials could launch analytics much faster.

Quotes from Members

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

Pros

"The solution's most valuable feature is that it allows us to use different batch data sources, retrieve the data, and then do the data processing, after which we can convert and store it in the target."
"The most valuable feature is real-time streaming."
"The best thing I like about Spring Cloud Data Flow is its plug-and-play model."
"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."
"The dashboards in Spring Cloud Dataflow are quite valuable."
"The most valuable features of Spring Cloud Data Flow are the simple programming model, integration, dependency Injection, and ability to do any injection. Additionally, auto-configuration is another important feature because we don't have to configure the database and or set up the boilerplate in the database in every project. The composability is good, we can create small workloads and compose them in any way we like."
"The ease of deployment on Kubernetes, the seamless integration for orchestration of various pipelines, and the visual dashboard that simplifies operations even for non-specialists such as quality analysts."
"The product is very user-friendly."
"Data discovery is very simple."
"The most valuable features of TIBCO Spotfire are visualization. It's very nice, clear, and, flexible. You can analyze many data types and the user interface is very good."
"Spotfire is excellent for scientific applications, especially because of its integration with RNG."
"TIBCO Spotfire is easy to use. We initiated Spotfire as POC, with support from a tech team based in South Africa. While they assisted with the setup, we conducted the POC ourselves."
"We used it pretty heavily in gathering data, which goes to our VPs. They are able to base their next revenue planning based on this metric. So, it has been invaluable."
"The ability to create a real-time data mark, using just one piece of software, is the best feature of this product."
"The out-of-the-box features are simple and easy to use across the board."
"The product's initial setup phase was simple."
 

Cons

"I would improve the dashboard features as they are not very user-friendly."
"Spring Cloud Data Flow is not an easy-to-use tool, so improvements are required."
"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."
"The solution's community support could be improved."
"There were instances of deployment pipelines getting stuck, and the dashboard not always accurately showing the application status, requiring manual intervention such as rerunning applications or refreshing the dashboard."
"Spring Cloud Data Flow could improve the user interface. We can drag and drop in the application for the configuration and settings, and deploy it right from the UI, without having to run a CI/CD pipeline. However, that does not work with Kubernetes, it only works when we are working with jars as the Spring Cloud Data Flow applications."
"On the tool's online discussion forums, you may get stuck with an issue, making it an area where improvements are required."
"The initial setup can be difficult."
"We would like to see some improvement in the default properties of the solution, so that there is less need for us to spend our time coding."
"The data compression has room for improvement."
"Our política in the company is to hire or get licenses year by year, but most recently, TIBCO Spotfire asked us to have a three-year license term. That made things a little bit tougher for the commercial relationship."
"I would like more easy-to-implement analytical algorithms. At the moment they include things like forecasts and regressions. They need to add a lot more of these types of things to the product because not everyone is a data scientist."
"Print capability and trigger-based events."
"We encountered difficulties connecting the special data sets, as the post data set did not contain any shared columns, making it difficult to establish a connection between the data sets."
"I would like to see the visualization library in this solution expanded, so that I can increase what I can offer to our clients."
 

Pricing and Cost Advice

"The solution provides value for money, and we are currently using its community edition."
"If you want support from Spring Cloud Data Flow there is a fee. The Spring Framework is open-source and this is a free solution."
"This is an open-source product that can be used free of charge."
"I would describe TIBCO Spotfire as an averagely-priced product."
"The Tibco sales teams have been very difficult to work with - ignoring requests, misrepresenting level of demand, etc."
"The pricing seems competitive and reasonable. The value delivered by the product far exceeds the cost."
"The price-point for this solution is negotiable depending on usage levels."
"The ROI is nearly impossible to calculate."
"The cost is a few hundred dollars per user per year."
"This product carries a monthly licensing charge, with the amount depending on the features that are to be included. This costs also covers the use of technical support."
"The solution is affordable one."
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Top Industries

By visitors reading reviews
Financial Services Firm
20%
Computer Software Company
12%
Retailer
8%
Healthcare Company
5%
Manufacturing Company
17%
Financial Services Firm
8%
Healthcare Company
8%
Energy/Utilities Company
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business3
Midsize Enterprise1
Large Enterprise5
By reviewers
Company SizeCount
Small Business18
Midsize Enterprise12
Large Enterprise42
 

Questions from the Community

What needs improvement with Spring Cloud Data Flow?
There were instances of deployment pipelines getting stuck, and the dashboard not always accurately showing the application status, requiring manual intervention such as rerunning applications or r...
What is your primary use case for Spring Cloud Data Flow?
We had a project for content management, which involved multiple applications each handling content ingestion, transformation, enrichment, and storage for different customers independently. We want...
What advice do you have for others considering Spring Cloud Data Flow?
I would definitely recommend Spring Cloud Data Flow. It requires minimal additional effort or time to understand how it works, and even non-specialists can use it effectively with its friendly docu...
What do you like most about TIBCO Spotfire?
TIBCO Spotfire is easy to use. We initiated Spotfire as POC, with support from a tech team based in South Africa. While they assisted with the setup, we conducted the POC ourselves.
What is your experience regarding pricing and costs for TIBCO Spotfire?
My experience with pricing, setup cost, and licensing for TIBCO Spotfire appears fair, and I think they are fairly priced as far as the features are concerned.
What needs improvement with TIBCO Spotfire?
The web client of TIBCO Spotfire lacked the full authoring capabilities available in the analyst client. Source control for DXP files was limited compared to a Git-style workflow. For regulatory su...
 

Also Known As

No data available
Spotfire
 

Overview

 

Sample Customers

Information Not Available
Allergan, ASSS de Montreal, Avantium, Blue River, Bank of Montreal, Citibank, FrieslandCampina, Hellmann Logistics, Merck, Novartis
Find out what your peers are saying about Spring Cloud Data Flow vs. TIBCO Spotfire and other solutions. Updated: August 2022.
882,260 professionals have used our research since 2012.