We performed a comparison between Coralogix and Spring Cloud Data Flow based on real PeerSpot user reviews.
Find out what your peers are saying about Databricks, Amazon Web Services (AWS), Confluent and others in Streaming Analytics."The solution is easy to use and to start with."
"The initial setup is straightforward."
"A non-tech person can easily get used to it."
"Numerous data monitoring tools are available, but Coralogix somehow fine-tunes our policies and effectively supports our teams."
"The best feature of this solution allows us to correlate logs, metrics and traces."
"The solution offers very good convenience filtering."
"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 product is very user-friendly."
"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."
"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."
"Maybe they could make it more user-friendly."
"The user interface could be more intuitive and explanatory."
"It would be helpful if Coralogix could integrate the main modules that any organization requires into a single subscription."
"The documentation of the tool could be improved"
"From my experience, Coralogix has horrible Terraform providers."
"On the tool's online discussion forums, you may get stuck with an issue, making it an area where improvements are required."
"Some of the features, like the monitoring tools, are not very mature and are still evolving."
"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."
Coralogix is ranked 11th in Streaming Analytics with 7 reviews while Spring Cloud Data Flow is ranked 9th in Streaming Analytics with 5 reviews. Coralogix is rated 8.4, while Spring Cloud Data Flow is rated 8.0. The top reviewer of Coralogix writes "Good capabilities, has a helpful interface and is straightforward to set up". On the other hand, the top reviewer of Spring Cloud Data Flow writes "Provides ease of integration with other cloud platforms ". Coralogix is most compared with Datadog, Grafana, Sentry, New Relic and Elastic Search, whereas Spring Cloud Data Flow is most compared with Apache Flink, Google Cloud Dataflow, Apache Spark Streaming, Azure Data Factory and TIBCO BusinessWorks.
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We monitor all Streaming Analytics 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.
