Coralogix vs Spring Cloud Data Flow comparison

Coralogix and VMware are both solutions in the Streaming Analytics category. Coralogix is ranked #12 with an average rating of 8.2, while VMware is ranked #9 with an average rating of 7.8. Coralogix holds a 0.2% mindshare in SA, compared to VMware’s 4.8% mindshare. Additionally, 92% of Coralogix users are willing to recommend the solution, compared to 88% of VMware users who would recommend it.

Coralogix

Read 11 Coralogix reviews

51 Views
29 Comparison Views

92% willing to recommend

Spring Cloud Data Flow

Read 9 Spring Cloud Data Flow reviews

1,751 Views
1,242 Comparison Views

88% willing to recommend

Coralogix

Spring Cloud Data Flow

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Executive SummaryUpdated on Dec 17, 2024

Coralogix and Spring Cloud Data Flow are competing products in the field of data management and analysis. Coralogix seems to have an edge regarding pricing and customer support, whereas Spring Cloud Data Flow offers more robust features that justify the investment.

Features: Coralogix offers real-time monitoring, advanced alerting, and seamless integration with various platforms, focusing on log analysis. Spring Cloud Data Flow supports a microservices-based architecture for complex data processing workflows with extensive support for stream and batch data pipelines.

Room for Improvement: Coralogix can enhance customization options, expand platform compatibility, and diversify its data workflow features. Spring Cloud Data Flow may improve by simplifying its setup process, enhancing user interface design, and providing more intuitive user resources for non-technical users.

Ease of Deployment and Customer Service: Coralogix provides a straightforward deployment model with comprehensive onboarding resources and is known for responsive customer service. Spring Cloud Data Flow requires more technical expertise, but it offers strong community support and detailed technical documentation.

Pricing and ROI: Coralogix offers a competitive pricing model with high ROI for organizations focusing on log data analysis. Spring Cloud Data Flow's setup may involve higher costs due to resource requirements, but its extensive features can lead to significant ROI for businesses developing and managing intricate data workflows.

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

Buyer's Guide

Coralogix vs. Spring Cloud Data Flow

June 2025

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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

Coralogix

Ranking in Streaming Analytics

12th

Average Rating

8.2

Reviews Sentiment

7.0

Number of Reviews

Ranking in other categories

Application Performance Monitoring (APM) and Observability (20th), Log Management (19th), Security Information and Event Management (SIEM) (22nd), API Management (16th), Anomaly Detection Tools (1st)

Spring Cloud Data Flow

Ranking in Streaming Analytics

9th

Average Rating

7.8

Reviews Sentiment

6.8

Number of Reviews

Ranking in other categories

Data Integration (21st)

Mindshare comparison

As of June 2025, in the Streaming Analytics category, the mindshare of Coralogix is 0.2%, up from 0.1% compared to the previous year. The mindshare of Spring Cloud Data Flow is 4.8%, up from 4.2% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Streaming Analytics

Featured Reviews

reviewer1915599

VP of Engineering at a financial services firm with 51-200 employees

Good capabilities, has a helpful interface and is straightforward to set up

We have asked for a couple of features from the company already. What typically happens is a lot of people - and developers are one of the biggest consumers of this product - go to this product to optimize their investigation process and specific configurations. That increases our data flow at times, so the cost changes. And a lot of changes happen due to that. We have asked the company to auto-revert the changes after a while so that the system works typically. We want it to work at what it is expected to work at and not really based on the updated configuration which one developer has decided to change.

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NitinGoyal

Engineering Lead at Naukri.com

Has a plug-and-play model and provides good robustness and scalability

The solution's community support could be improved. I don't know why the Spring Cloud Data Flow community is not very strong. Community support is very limited whenever you face any problem or are stuck somewhere. I'm not sure whether it has improved in the last six months because this pipeline was set up almost two years ago. I struggled with that a lot. For example, there was limited support whenever I got an exception and sought help from Stack Overflow or different forums. Interacting with Kubernetes needs a few certificates. You need to define all the certificates within your application. With the help of those certificates, your Java application or Spring Cloud Data Flow can interact with Kubernetes. I faced a lot of hurdles while placing those certificates. Despite following the official documentation to define all the replicas, readiness, and liveliness probes within the Spring Cloud Data Flow application, it was not working. So, I had to troubleshoot while digging in and debugging the internals of Spring Cloud Data Flow at that time. It was just a configuration mismatch, and I was doing nothing weird. There was a small spelling difference between how Spring Cloud Data Flow was expecting it and how I passed it. I was just following the official documentation.

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Quotes from Members

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

Pros

"The solution offers very good convenience filtering."

"The most valuable feature of Coralogix is that it is a very good vendor for metrics."

"For now, we have not experienced any stability issues."

"The solution is easy to use and to start with."

"Numerous data monitoring tools are available, but Coralogix somehow fine-tunes our policies and effectively supports our teams."

"A non-tech person can easily get used to it."

"The log monitoring is good, and the dashboards that we create are beneficial."

"The initial setup is straightforward."

More Coralogix pros

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

"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 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."

"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 product is very user-friendly."

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

"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."

Cons

"The features we were missing in the past were related to the way we see our metrics and aggregate our data."

"The user interface could be more intuitive and explanatory."

"From my experience, Coralogix has horrible Terraform providers."

"It would be helpful if Coralogix could integrate the main modules that any organization requires into a single subscription."

"The user interface is not intuitive, especially when first onboarding, and improvements could be made here."

"The customizable dashboards haven't really helped with my company's efficiency at all, and I think there's room for improvement."

"Coralogix should have some AI capabilities to auto-detect anomalies and provide suggestions."

"Coralogix should have some AI capabilities to auto-detect anomalies and provide suggestions. The increasing volume of data and the resulting bandwidth charges are concerns."

More Coralogix cons

"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."

"I would improve the dashboard features as they are not very user-friendly."

"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."

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

"Spring Cloud Data Flow is not an easy-to-use tool, so improvements are required."

"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."

Pricing and Cost Advice

"We are paying roughly $5,000 a month."

"The platform has a reasonable cost. I rate the pricing a three out of ten."

"Currently, we are at a very minimal cost, which is around $400 per month since we have reduced our usage. Initially, we were at $900 per month."

"The cost of the solution is per volume of data ingested."

"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."

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

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Top Industries

By visitors reading reviews

Computer Software Company

13%

Financial Services Firm

11%

Manufacturing Company

Healthcare Company

Financial Services Firm

26%

Computer Software Company

17%

Retailer

Manufacturing Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

Questions from the Community

What do you like most about Coralogix?

Numerous data monitoring tools are available, but Coralogix somehow fine-tunes our policies and effectively supports our teams.

See all answers

What is your experience regarding pricing and costs for Coralogix?

The pricing is expensive. We need to reduce logs to manage costs. Despite the expense, I believe it is worth the money to have Coralogix as a tool.

See all answers

What needs improvement with Coralogix?

Change might not be the correct word, but with every service, there is always room to improve. They are improving their services daily and deploy new features. When we had missing features that we ...

See all answers

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...

See all answers

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...

See all answers

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...

See all answers

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Product Reports

Buyer's Guide

Coralogix

June 2025

Download Coralogix product report

Buyer's Guide

Spring Cloud Data Flow

May 2025

Download Spring Cloud Data Flow product report

Overview

Coralogix is a stateful streaming data platform that provides real-time insights and long-term trend analysis with no reliance on storage or indexing, solving the monitoring challenges of data growth in large-scale systems.

Ingest log, metric, and security data from any source for a single, centralized platform to monitor and alert on your applications. As data is ingested, Coralogix instantly narrows millions of events down to common patterns for deeper insights and faster troubleshooting. Proactive data storage optimization enables up to 70% savings on monitoring costs with better performance.

Coralogix

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.

VMware

Sample Customers

Payoneer, AGS, Monday.com, Capgemini

Information Not Available

Buyer's Guide

Coralogix vs. Spring Cloud Data Flow

June 2025

Free Report: Coralogix vs. Spring Cloud Data Flow

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