Coralogix vs Databricks comparison

Coralogix and Databricks are both solutions in the Streaming Analytics category. Coralogix is ranked #19 with an average rating of 8.0, while Databricks is ranked #1 with an average rating of 8.3. Coralogix holds a 0.2% mindshare in SA, compared to Databricks’s 14.6% mindshare. Additionally, 90% of Coralogix users are willing to recommend the solution, compared to 96% of Databricks users who would recommend it.

Coralogix

Read 9 Coralogix reviews

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34 Comparison Views

90% willing to recommend

Databricks

Read 89 Databricks reviews

5,646 Views
4,053 Comparison Views

96% willing to recommend

Coralogix

Databricks

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Executive SummaryUpdated on Dec 17, 2024

Databricks and Coralogix are competing in the data analytics and log analytics domains. Databricks has the upper hand in advanced analytics and big data processing, making it suitable for large-scale data operations. Coralogix, on the other hand, excels in real-time log analytics and monitoring.

Features: Databricks is known for its powerful data processing capabilities, using Apache Spark for efficient large-scale data operations. It includes collaborative notebooks and machine learning integrations that facilitate collaborative work and advanced analytics. Coralogix offers advanced real-time log analytics, enabling automated parsing and efficient anomaly detection. It supports deep drill-down processes and provides an intuitive interface for quick log grouping and detailed reporting.

Room for Improvement: Databricks could enhance its user interface for non-technical users and provide more cost-effective scaling options. Enhancements in GPU support for complex computations would also be beneficial. Additional integration capabilities beyond current partnerships could improve flexibility. Coralogix could offer more sophisticated algorithm predictive analytics and improve customization for unique business requirements. Further enhancements in data visualization and broader integration with third-party tools could enhance its functionality.

Ease of Deployment and Customer Service: Databricks offers streamlined deployment with seamless integration into various cloud environments. It emphasizes customer service through dedicated support channels. Coralogix provides flexible deployment options with swift onboarding processes. Its customer service model focuses strongly on satisfaction and is highly responsive.

Pricing and ROI: Databricks requires a considerable initial setup cost but promises high ROI through scalable solutions and expansive processing capabilities. Coralogix's pricing may be higher initially, but the robust real-time analytics offer substantial value, justifying the investment. Databricks is more cost-efficient for large data operations, while Coralogix provides targeted solutions for real-time monitoring and analytics.

To learn more, read our detailed Coralogix vs. Databricks Report (Updated: April 2025).

Buyer's Guide

Coralogix vs. Databricks

April 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

19th

Average Rating

8.2

Reviews Sentiment

7.0

Number of Reviews

Ranking in other categories

Application Performance Monitoring (APM) and Observability (33rd), Log Management (39th), Security Information and Event Management (SIEM) (42nd), API Management (29th), Anomaly Detection Tools (1st)

Databricks

Ranking in Streaming Analytics

1st

Average Rating

8.2

Reviews Sentiment

7.0

Number of Reviews

Ranking in other categories

Cloud Data Warehouse (7th), Data Science Platforms (1st)

Mindshare comparison

As of May 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 Databricks is 14.6%, up from 10.5% 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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ShubhamSharma7

Data Engineer at a engineering company with 1,001-5,000 employees

Capability to integrate diverse coding languages in a single notebook greatly enhances workflow

Databricks offers various courses that I can use, whether it's PySpark, Scala, or R. I can leverage all these courses in a single notebook, which is beneficial for clients as they can access various tools in one place whenever needed. This is quite significant. I usually work with PySpark based on client requirements. After coding, I feed the Databricks notebooks into the ADF pipeline for updates. Databricks' capability to process data in parallel enhances data processing speed. Furthermore, I can connect our Databricks notebook directly with Power BI and other visualization tools like Qlik. Once we develop code, it allows us to transform raw data into visualizations for clients using analysis diagrams, which is very helpful.

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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

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

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

"Coralogix scales well, and I will rate it nine out of ten."

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

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

"The best feature of this solution allows us to correlate logs, metrics and traces."

"The initial setup is straightforward."

"The solution offers very good convenience filtering."

More Coralogix pros

"The load distribution capabilities are good, and you can perform data processing tasks very quickly."

"Databricks has improved my organization by allowing us to transform data from sources to a different format and feed that to the analytics, business intelligence, and reporting teams. This tool makes it easy to do those kinds of things."

"Databricks serves as a single platform for conducting the entire end-to-end lifecycle of machine learning models or AI ops."

"I like that Databricks is a unified platform that lets you do streaming and batch processing in the same place. You can do analytics, too. They have added something called Databricks SQL Analytics, allowing users to connect to the data lake to perform analytics. Databricks also will enable you to share your data securely. It integrates with your reporting system as well."

"Databricks gives us the ability to build a lakehouse framework and do everything implicit to this type of database structure. We also like the ability to stream events. Databricks covers a broad spectrum, from reporting and machine learning to streaming events. It's important for us to have all these features in one platform."

"What I like about Databricks is that it's one of the most popular platforms that give access to folks who are trying not just to do exploratory work on the data but also go ahead and build advanced modeling and machine learning on top of that."

"I haven't heard about any major stability issues. At this time I feel like it's stable."

"We have the ability to scale, collaborate and do machine learning."

More Databricks pros

Cons

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

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

"The documentation of the tool could be improved"

"Maybe they could make it more user-friendly."

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

"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."

"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."

More Coralogix cons

"Can be improved by including drag-and-drop features."

"I would like it if Databricks made it easier to set up a project."

"They release patches that sometimes break our code. These patches are supposed to fix issues, but sometimes they cause disruptions."

"I would like more integration with SQL for using data in different workspaces."

"Databricks could improve in some of its functionality."

"Databricks would have more collaborative features than it has. It should have some more customization for the jobs."

"The integration of data could be a bit better."

"It should have more compatible and more advanced visualization and machine learning libraries."

More Databricks cons

Pricing and Cost Advice

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

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

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

"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 basic version of this solution is now open-source, so there are no license costs involved. However, there is a charge for any advanced functionality and this can be quite expensive."

"Databricks uses a price-per-use model, where you can use as much compute as you need."

"The billing of Databricks can be difficult and should improve."

"Price-wise, I would rate Databricks a three out of five."

"There are different versions."

"The solution is based on a licensing model."

"Databricks are not costly when compared with other solutions' prices."

"The licensing costs of Databricks is a tiered licensing regime, so it is flexible."

More Databricks pricing and cost advice

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Top Industries

By visitors reading reviews

Computer Software Company

14%

Financial Services Firm

10%

Manufacturing Company

Healthcare Company

Financial Services Firm

18%

Computer Software Company

10%

Manufacturing Company

Healthcare 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?

We need to reduce the number of logs generated by our system, which are substantial. We require some form of grouping or categorization of logs to identify them better. Additionally, we find that t...

See all answers

Which do you prefer - Databricks or Azure Machine Learning Studio?

Databricks gives you the option of working with several different languages, such as SQL, R, Scala, Apache Spark, or Python. It offers many different cluster choices and excellent integration with ...

See all answers

How would you compare Databricks vs Amazon SageMaker?

We researched AWS SageMaker, but in the end, we chose Databricks. Databricks is a Unified Analytics Platform designed to accelerate innovation projects. It is based on Spark so it is very fast. It...

See all answers

Which would you choose - Databricks or Azure Stream Analytics?

Databricks is an easy-to-set-up and versatile tool for data management, analysis, and business analytics. For analytics teams that have to interpret data to further the business goals of their orga...

See all answers

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Dataiku vs Databricks

Compared 11% of the time

Microsoft Power BI vs Databricks

Compared 9% of the time

Dremio vs Databricks

Compared 8% of the time

Informatica PowerCenter vs Databricks

Compared 7% of the time

Tableau vs Databricks

Compared 5% of the time

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Product Reports

Buyer's Guide

Coralogix

April 2025

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Buyer's Guide

Databricks

April 2025

Download Databricks product report

Also Known As

No data available

Databricks Unified Analytics, Databricks Unified Analytics Platform, Redash

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

Databricks is utilized for advanced analytics, big data processing, machine learning models, ETL operations, data engineering, streaming analytics, and integrating multiple data sources.

Organizations leverage Databricks for predictive analysis, data pipelines, data science, and unifying data architectures. It is also used for consulting projects, financial reporting, and creating APIs. Industries like insurance, retail, manufacturing, and pharmaceuticals use Databricks for data management and analytics due to its user-friendly interface, built-in machine learning libraries, support for multiple programming languages, scalability, and fast processing.

What are the key features of Databricks?

User-friendly interface: Simplifies operations and usability.
Built-in machine learning libraries: Facilitates machine learning tasks.
Support for multiple programming languages: Enhances flexibility.
Scalability: Efficiently handles growing data needs.
Fast processing: Improves performance and speed.
Automated optimization: Reduces manual efforts.
Data visualization: Provides insightful visuals.
Collaborative features: Enhances teamwork.
Delta Lake performance: Boosts data management.
Seamless cluster management: Simplifies system operations.

What are the benefits or ROI to look for in Databricks reviews?

Efficiency in handling large datasets: Ensures smooth processing.
Interactive workspace environment: Improves user collaboration.
Integration with platforms: Provides connectivity benefits.
Performance optimization: Enhances overall system performance.
Support for data governance and security: Ensures data integrity and protection.

Databricks is implemented in insurance for risk analysis and claims processing; in retail for customer analytics and inventory management; in manufacturing for predictive maintenance and supply chain optimization; and in pharmaceuticals for drug discovery and patient data analysis. Users value its scalability, machine learning support, collaboration tools, and Delta Lake performance but seek improvements in visualization, pricing, and integration with BI tools.

Databricks

Sample Customers

Payoneer, AGS, Monday.com, Capgemini

Elsevier, MyFitnessPal, Sharethrough, Automatic Labs, Celtra, Radius Intelligence, Yesware

Buyer's Guide

Coralogix vs. Databricks

April 2025

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