Coralogix vs Databricks comparison

Coralogix and Databricks are both solutions in the Streaming Analytics category. Coralogix is ranked #12 with an average rating of 8.2, while Databricks is ranked #1 with an average rating of 8.3. Coralogix holds a 0.2% mindshare in SA, compared to Databricks’s 14.5% mindshare. Additionally, 92% of Coralogix users are willing to recommend the solution, compared to 96% of Databricks users who would recommend it.

Coralogix

Read 11 Coralogix reviews

51 Views
29 Comparison Views

92% willing to recommend

Databricks

Read 91 Databricks reviews

4,950 Views
3,220 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: June 2025).

Buyer's Guide

Coralogix vs. Databricks

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)

Databricks

Ranking in Streaming Analytics

1st

Average Rating

8.2

Reviews Sentiment

7.0

Number of Reviews

Ranking in other categories

Cloud Data Warehouse (8th), Data Science Platforms (1st)

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 Databricks is 14.5%, up from 10.8% 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 log monitoring is good, and the dashboards that we create are beneficial."

"The solution offers very good convenience filtering."

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

"The overall stability and reliability of Coralogix are excellent, and I rarely encounter issues."

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

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

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

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

More Coralogix pros

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

"We are completely satisfied with the ease of connecting to different sources of data or pocket files in the search"

"It's great technology."

"I like cloud scalability and data access for any type of user."

"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."

"It is fast, it's scalable, and it does the job it needs to do."

"It helps integrate data science and machine learning capabilities."

"The notebooks and the ability to share them with collaborators are valuable, as multiple developers can use a single cluster."

More Databricks pros

Cons

"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."

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

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

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

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

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

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

"The documentation of the tool could be improved"

More Coralogix cons

"The connectivity with various BI tools could be improved, specifically the performance and real time integration."

"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."

"There should be better integration with other platforms."

"I would like it if Databricks adopted an interface more like R Studio. When I create a data frame or a table, R Studio provides a preview of the data. In R Studio, I can see that it created a table with so many columns or rows. Then I can click on it and open a preview of that data."

"Would be helpful to have additional licensing options."

"Databricks can improve by making the documentation better."

"The product needs samples and templates to help invite users to see results and understand what the product can do."

"CI/CD needs additional leverage and support."

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 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."

"We pay as we go, so there isn't a fixed price. It's charged by the unit. I don't have any details detail about how they measure this, but it should be a mix between processing and quantity of data handled. We run a simulation based on our use cases, which gives us an estimate. We've been monitoring this, and the costs have met our expectations."

"We find Databricks to be very expensive, although this improved when we found out how to shut it down at night."

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

"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."

"We have only incurred the cost of our AWS cloud services. This is because during this period, Databricks provided us with an extended evaluation period, and we have not spent much money yet. We are just starting to incur costs this month, I will know more later on the full cost perspective."

"We're charged on what the data throughput is and also what the compute time is."

"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."

"I rate the price of Databricks as eight out of ten."

More Databricks pricing and cost advice

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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

17%

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.

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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 ...

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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...

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Compared 11% of the time

Microsoft Power BI vs Databricks

Compared 9% of the time

Informatica PowerCenter vs Databricks

Compared 7% of the time

Dremio 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

June 2025

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Buyer's Guide

Databricks

June 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

June 2025

Free Report: Coralogix vs. Databricks

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