We performed a comparison between Coralogix and Databricks based on real PeerSpot user reviews.
Find out in this report how the two Streaming Analytics solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."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 is easy to use and to start with."
"The initial setup is straightforward."
"A non-tech person can easily get used to it."
"The solution offers very good convenience filtering."
"It's great technology."
"Databricks gives you the flexibility of using several programming languages independently or in combination to build models."
"The capacity of use of the different types of coding is valuable. Databricks also has good performance because it is running in spark extra storage, meaning the performance and the capacity use different kinds of codes."
"The solution is very simple and stable."
"It is fast, it's scalable, and it does the job it needs to do."
"Databricks provides a consistent interface for data engineers to work with data in a consistent language on a single integrated platform for ingesting, processing, and serving data to the end user."
"It can send out large data amounts."
"The ability to stream data and the windowing feature are valuable."
"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."
"It would be helpful if Coralogix could integrate the main modules that any organization requires into a single subscription."
"The user interface could be more intuitive and explanatory."
"Maybe they could make it more user-friendly."
"The documentation of the tool could be improved"
"From my experience, Coralogix has horrible Terraform providers."
"I would like it if Databricks made it easier to set up a project."
"CI/CD needs additional leverage and support."
"I would love an integration in my desktop IDE. For now, I have to code on their webpage."
"Databricks doesn't offer the use of Python scripts by itself and is not connected to GitHub repositories or anything similar. This is something that is missing. if they could integrate with Git tools it would be an advantage."
"Would be helpful to have additional licensing options."
"Support for Microsoft technology and the compatibility with the .NET framework is somewhat missing."
"There would also be benefits if more options were available for workers, or the clusters of the two points."
"If I want to create a Databricks account, I need to have a prior cloud account such as an AWS account or an Azure account. Only then can I create a Databricks account on the cloud. However, if they can make it so that I can still try Databricks even if I don't have a cloud account on AWS and Azure, it would be great. That is, it would be nice if it were possible to create a pseudo account and be provided with a free trial. It is very essential to creating a workforce on Databricks. For example, students or corporate staff can then explore and learn Databricks."
Coralogix is ranked 11th in Streaming Analytics with 7 reviews while Databricks is ranked 1st in Streaming Analytics with 78 reviews. Coralogix is rated 8.4, while Databricks is rated 8.2. 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 Databricks writes "A nice interface with good features for turning off clusters to save on computing". Coralogix is most compared with Datadog, Grafana, Sentry, New Relic and Elastic Search, whereas Databricks is most compared with Amazon SageMaker, Informatica PowerCenter, Dataiku Data Science Studio, Microsoft Azure Machine Learning Studio and Dremio. See our Coralogix vs. Databricks report.
See our list of best Streaming Analytics vendors.
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.