Spring Cloud Data Flow vs Teradata comparison

Read 78 Teradata reviews

10,160 Views
914 Comparison Views

87% willing to recommend

Spring Cloud Data Flow

Comparison Buyer's Guide

Download the report

Executive SummaryUpdated on Sep 30, 2025

Teradata and Spring Cloud Data Flow compete in the data management and orchestration space. Teradata seems to have the upper hand in performance capabilities, while Spring Cloud Data Flow offers strong real-time streaming and integration features.

Features: Teradata provides a robust data warehousing solution with parallel processing architecture and scalability. It offers a strong optimizer and workload management for enhanced system tuning, along with adaptability to various data environments. Its security features are well-regarded. Spring Cloud Data Flow excels in real-time streaming and orchestration capabilities. It boasts an easy integration with other services and has a user-friendly programming model. Its flexible deployment environment and ability to handle microservices are significant advantages.

Room for Improvement: Teradata users suggest improvements in transaction processing and integration with modern cloud environments. Enhancements in handling unstructured data and more competitive pricing structures are needed. Spring Cloud Data Flow could benefit from a better user interface and stronger community support. Enhancing documentation clarity and expanding support for more languages and tools would be beneficial.

Ease of Deployment and Customer Service: Teradata is primarily deployed on-premises but offers cloud options with robust support, though response times could see improvement. Spring Cloud Data Flow offers hybrid deployment flexibility and is known for strong customer service. Both offer reliable technical support, with Teradata receiving positive feedback for its extensive services through Teradata University.

Pricing and ROI: Teradata is recognized for high performance at a premium price, delivering significant ROI through improved analytics and system speed. Recent pricing models are becoming more flexible but may still be prohibitive for smaller projects. Spring Cloud Data Flow, as an open-source solution, reduces initial investment costs, offering value through its free-to-use model. Teradata justifies its price with powerful features, while Spring Cloud Data Flow provides a cost-effective solution for data stream management.

To learn more, read our detailed Spring Cloud Data Flow vs. Teradata Report (Updated: September 2025).

Spring Cloud Data Flow vs. Teradata

September 2025

Download the complete report

Helped 872,778 peers since 2012

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

Ranking in Data Integration

21st

Average Rating

7.8

Reviews Sentiment

6.8

Number of Reviews

Ranking in other categories

Streaming Analytics (10th)

Teradata

Ranking in Data Integration

17th

Average Rating

8.2

Reviews Sentiment

7.0

Number of Reviews

Ranking in other categories

Customer Experience Management (6th), Backup and Recovery (21st), Relational Databases Tools (8th), Data Warehouse (3rd), BI (Business Intelligence) Tools (13th), Marketing Management (5th), Cloud Data Warehouse (4th)

Mindshare comparison

As of October 2025, in the Data Integration category, the mindshare of Spring Cloud Data Flow is 1.2%, up from 1.0% compared to the previous year. The mindshare of Teradata is 0.8%, up from 0.6% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Integration Market Share Distribution
Product	Market Share (%)
Teradata	0.8%
Spring Cloud Data Flow	1.2%
Other	98.0%

Data Integration

Featured Reviews

Kaleeswaran Karuppusamy

Cloud Application Architect at Lumen Technologies

Helps retrieve data and with data processing but is not so easy to use

There are no stability issues in the tool. Compared to Apache Sling, Spring Cloud Data Flow is not easy to use. People prefer Apache Sling when dealing with their use cases. I don't know whether Spring Cloud Data Flow will be demanded a lot in the market because there are a lot of other options available, especially open-source tools like Apache Sling, which is getting a lot of attention from people. A lot of people have started using Apache Sling, so I don't know how much more visible Spring Cloud Data Flow will be in the future.

Read full review

Kirk Robinson

Interim and Fractional CIO and CTO at a consultancy with 11-50 employees

Has improved data quality, optimized reporting processes, and enabled predictive insights across business units

The limitation we encountered was related to speed, prompting us to increase our AWS cloud thresholds and benchmarks on the servers, adding more throughput. We have been testing that, but speed remains one of our key issues. The integration has been awesome because of the platforms and their usage, and usability is great. The most challenging aspect is finding Teradata resources, so we are focusing on internal training and looking for more Teradata experts. If Teradata could provide a list of certified experts, that would be fantastic. I rated Teradata a nine because the main area for improvement is the bandwidth of resources that could assist us in applying to our projects, specifically more certified and expert resources. The market share of Teradata professionals is limited, creating an issue for us.

Read full review

Quotes from Members

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

Pros

"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 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 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 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 product is very user-friendly."

"The most valuable feature is real-time streaming."

"The best thing I like about Spring Cloud Data Flow is its plug-and-play model."

"A conventional and easily defined way to build a data warehouse or a layer of data marts."

"The most valuable features are the Shared-nothing architecture and data protection functionality."

"The flexibility in design is very good."

"The most valuable feature of Teradata is the quick processing of large data."

"We did performance testing. We had a set of real life MicroStrategy reports. Our conditions were: Not allowed to redesign data model, not allowed to rewrite the queries, all queries should be generated by MicroStrategy, no aggregates. Teradata appeared to be way faster than a similarly configured (in terms of hardware) Oracle server."

"Teradata effectively uses parallelism to the granular level, performing better than other databases."

"It is quick, secure, and has less hassles because we don't have to involve our networking team, infrastructure, etc. It is very easy to deploy and make market ready."

"The cloud is ten times better than physical hardware; it is more cost-effective and the upgrade process is ten times easier."

More Teradata pros

Cons

"Some of the features, like the monitoring tools, are not very mature and are still evolving."

"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."

"On the tool's online discussion forums, you may get stuck with an issue, making it an area where improvements are required."

"The solution's community support could be improved."

"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."

"The configurations could be better. Some configurations are a little bit time-consuming in terms of trying to understand using the Spring Cloud documentation."

"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."

"Limited interest and success in some areas make us hesitate about upgrading."

"Apart from Control-M, it would be nice if it could integrate with other tools."

"Teradata is an old data warehouse, and they're not improving in terms of new, innovative features."

"The following could be better: licensing, architecture openness, integration with other tools."

"Teradata should focus on functionality for building predictive models because, in that regard, it can definitely improve."

"Teradata is an expensive tool. Like, if you're already using Microsoft products like Windows, they'll market all their products together. And with the rise of cloud technologies, companies will adopt solutions that offer them some privileges or facilities. Similar to how SAP does it in the market, so do Microsoft and other companies. Even Oracle and other such tools are quite commonly seen compared to Teradata's competitors in everyday solutions."

"The reporting side wasn't very good in the past, but with the latest versions, it's getting better. Still, the friendliness of the PDC reporting and functionality needs to be improved."

"An additional feature I would you like to see included in the next release, is that it needs to be more cloud-friendly."

More Teradata cons

Pricing and Cost Advice

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

"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."

"The solution provides value for money, and we are currently using its community edition."

"Teradata is currently making improvements in this area."

"The solution requires a license."

"The price of Teradata could be less expensive."

"The cost is significantly high."

"Users have to pay a yearly licensing fee for Teradata IntelliFlex, which is very expensive."

"The price of Teradata is expensive. However, what they deliver they are outstanding. If you're looking for an inexpensive solution to run a database, this isn't your tool. It's the Ferrari of databases for data warehousing."

"The cost of running Teradata is quite high, but you get a good return on investment."

"The initial cost may seem high, but the TCO is low."

More Teradata pricing and cost advice

See which vendors are best for you

Use our free recommendation engine to learn which Data Integration solutions are best for your needs.

See recommendations

872,778 professionals have used our research since 2012.

Comparison Review

it_user232068

Senior Data Architect at a pharma/biotech company with 1,001-5,000 employees

Aug 5, 2015

Netezza vs. Teradata

Original published at https://www.linkedin.com/pulse/should-i-choose-net Two leading Massively Parallel Processing (MPP) architectures for Data Warehousing (DW) are IBM PureData System for Analytics (formerly Netezza) and Teradata. I thought talking about the similarities and differences…

Read full review

Top Industries

By visitors reading reviews

Financial Services Firm

24%

Computer Software Company

14%

Retailer

Insurance Company

Financial Services Firm

25%

Computer Software Company

Manufacturing Company

Healthcare Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	3
Midsize Enterprise	1
Large Enterprise	5

By reviewers
Company Size	Count
Small Business	26
Midsize Enterprise	12
Large Enterprise	50

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...

Comparing Teradata and Oracle Database, which product do you think is better and why?

I have spoken to my colleagues about this comparison and in our collective opinion, the reason why some people may declare Teradata better than Oracle is the pricing. Both solutions are quite simi...

Which companies use Teradata and who is it most suitable for?

Before my organization implemented this solution, we researched which big brands were using Teradata, so we knew if it would be compatible with our field. According to the product's site, the comp...

Is Teradata a difficult solution to work with?

Teradata is not a difficult product to work with, especially since they offer you technical support at all levels if you just ask. There are some features that may cause difficulties - for example,...

Apache Flink vs Spring Cloud Data Flow

Comparisons

Compared 38% of the time

TIBCO BusinessWorks vs Spring Cloud Data Flow

Compared 9% of the time

MuleSoft Anypoint Platform vs Spring Cloud Data Flow

Compared 6% of the time

Apache Spark Streaming vs Spring Cloud Data Flow

Compared 5% of the time

Google Cloud Dataflow vs Spring Cloud Data Flow

Compared 5% of the time

More Spring Cloud Data Flow Competitors

Oracle Exadata vs Teradata

Compared 10% of the time

Snowflake vs Teradata

Compared 7% of the time

IBM Db2 Database vs Teradata

Compared 7% of the time

SQL Server vs Teradata

Compared 6% of the time

OpenText Analytics Database (Vertica) vs Teradata

Compared 5% of the time

More Teradata Competitors

Product Reports

Download Spring Cloud Data Flow product report

Spring Cloud Data Flow

October 2025

Download Teradata product report

October 2025

Also Known As

No data available

IntelliFlex, Aster Data Map Reduce, , QueryGrid, Customer Interaction Manager, Digital Marketing Center, Data Mover, Data Stream Architecture, Teradata Vantage Enterprise (DIY)

Overview

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.

Broadcom

Teradata is a powerful tool for handling substantial data volumes with its parallel processing architecture, supporting both cloud and on-premise environments efficiently. It offers impressive capabilities for fast query processing, data integration, and real-time reporting, making it suitable for diverse industrial applications.

Known for its robust parallel processing capabilities, Teradata effectively manages large datasets and provides adaptable deployment across cloud and on-premise setups. It enhances performance and scalability with features like advanced query tuning, workload management, and strong security. Users appreciate its ease of use and automation features which support real-time data reporting. The optimizer and intelligent partitioning help improve query speed and efficiency, while multi-temperature data management optimizes data handling.

What are the key features of Teradata?

Parallel Processing Architecture: Enables efficient handling of substantial data volumes.
Cloud and On-Premise Deployment: Offers seamless adaptability across environments.
Query Tuning: Improves speed and performance of data retrieval processes.
Workload Management: Ensures optimal resource allocation for enhanced performance.
Robust Security: Provides high levels of data protection and system integrity.
Data Integration: Facilitates cohesive data management from multiple sources.
Automation for Real-time Reporting: Enhances timely data insights and decision-making.
Optimizer and Intelligent Partitioning: Further increase query speed and system efficiency.
Multi-Temperature Data Management: Optimizes the handling and retrieval of data.

What benefits and ROI do users look for?

Efficient Data Management: Facilitates smooth integration and processing of diverse data sets.
Scalability: Easy adjustment to increasing or decreasing data requirements.
Improved Performance: Fast query speeds and optimized resource use.
Comprehensive Security: Safeguards data integrity and accessibility.
Ease of Use: Simplifies data handling and operational processes.

In the finance, retail, and government sectors, Teradata is employed for data warehousing, business intelligence, and analytical processing. It handles vast datasets for activities like customer behavior modeling and enterprise data integration. Supporting efficient reporting and analytics, Teradata enhances data storage and processing, whether deployed on-premise or on cloud platforms.

Sample Customers

Information Not Available

Netflix