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 88 Databricks reviews

5,646 Views
4,053 Comparison Views

96% willing to recommend

Coralogix

Databricks

Comparison Buyer's Guide

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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: March 2025).

Buyer's Guide

Coralogix vs. Databricks

March 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 April 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 10.1% 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

"The solution offers very good convenience filtering."

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

"The initial setup is straightforward."

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

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

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

"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."

More Coralogix pros

"The solution is built from Spark and has integration with MLflow, which is important for our use case."

"The most valuable features of the solution are the hardware and the resources it quickly provides without much hassle."

"Databricks is a scalable solution. It is the largest advantage of the solution."

"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."

"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."

"The time travel feature is the solution's most valuable aspect."

"We can scale the product."

"Databricks is hosted on the cloud. It is very easy to collaborate with other team members who are working on it. It is production-ready code, and scheduling the jobs is easy."

More Databricks pros

Cons

"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."

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

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

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

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

"The documentation of the tool could be improved"

"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

"The product cannot be integrated with a popular coding IDE."

"Databricks' performance when serving the data to an analytics tool isn't as good as Snowflake's."

"The interface of Databricks could be easier to use when compared to other solutions. It is not easy for non-data scientists. The user interface is important before we had to write code manually and as solutions move to "No code AI" it is critical that the interface is very good."

"The API deployment and model deployment are not easy on the Databricks side."

"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."

"There has been a significant evolution in databases. One area of improvement is the Databricks File System (DBFS), where command-line challenges arise when accessing files."

"The pricing of Databricks could be cheaper."

"I think setting up the whole account for one person and giving access are areas that can be difficult to manage and should be made a little easier."

More Databricks cons

Pricing and Cost Advice

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

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

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

"The solution is a good value for batch processing and huge workloads."

"The solution uses a pay-per-use model with an annual subscription fee or package. Typically this solution is used on a cloud platform, such as Azure or AWS, but more people are choosing Azure because the price is more reasonable."

"Databricks' cost could be improved."

"I would rate the tool’s pricing an eight out of ten."

"The solution is affordable."

"Databricks is a very expensive solution. Pricing is an area that could definitely be improved. They could provide a lower end compute and probably reduce the price."

"The solution requires a subscription."

"I would rate Databricks' pricing seven out of ten."

More Databricks pricing and cost advice

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Top Industries

By visitors reading reviews

Computer Software Company

16%

Financial Services Firm

10%

Healthcare Company

Manufacturing Company

Financial Services Firm

17%

Computer Software Company

11%

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...

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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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Compared 11% of the time

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Compared 9% of the time

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Compared 8% of the time

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Compared 7% of the time

Tableau vs Databricks

Compared 5% of the time

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Product Reports

Buyer's Guide

Coralogix

March 2025

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Buyer's Guide

Databricks

March 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

March 2025

Free Report: Coralogix vs. Databricks

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