Coralogix vs Databricks comparison

Coralogix and Databricks are both solutions in the Streaming Analytics category. Coralogix is ranked #13 with an average rating of 8.2, while Databricks is ranked #1 with an average rating of 8.3. Coralogix holds a 0.4% mindshare in SA, compared to Databricks’s 13.5% 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

2,603 Views
52 Comparison Views

92% willing to recommend

Databricks

Read 91 Databricks reviews

23,965 Views
4,314 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: July 2025).

Buyer's Guide

Coralogix vs. Databricks

July 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

13th

Average Rating

8.2

Reviews Sentiment

7.0

Number of Reviews

Ranking in other categories

Application Performance Monitoring (APM) and Observability (22nd), Log Management (21st), Security Information and Event Management (SIEM) (23rd), 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 August 2025, in the Streaming Analytics category, the mindshare of Coralogix is 0.4%, up from 0.1% compared to the previous year. The mindshare of Databricks is 13.5%, up from 11.8% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Streaming Analytics

Featured Reviews

Jorge Florez

Head SRE Latam at PayU

SaaS platform used by developers to store and conveniently search for logs

If a company has the budget and the log service is critical for them, I would say use Coralogix. It is a very good service for that. I would rate Coralogix an eight out of ten. It is an excellent service for storing logs for a long time. The capacity is unlimited for unindexed logs. The cost model is also very efficient because you pay for the ingested data per month. This can be compared to a solution like New Relic where you have to pay it upfront and cannot limit the data ingestion. Coralogix provides an easy way to search for logs and to visualize them. This a great feature because developers are constantly looking for or browsing logs.

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

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

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

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

"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."

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

"The solution offers very good convenience filtering."

More Coralogix pros

"Databricks makes it really easy to use a number of technologies to do data analysis. In terms of languages, we can use Scala, Python, and SQL. Databricks enables you to run very large queries, at a massive scale, within really good timeframes."

"Specifically for data science and data analytics purposes, it can handle large amounts of data in less time. I can compare it with Teradata. If a job takes five hours with Teradata databases, Databricks can complete it in around three to three and a half hours."

"The solution is very simple and stable."

"Databricks is based on a Spark cluster and it is fast. Performance-wise, it is great."

"The integration with Python and the notebooks really helps."

"The processing capacity is tremendous in the database."

"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."

"Databricks is a robust solution for big data processing, offering flexibility and powerful features."

More Databricks pros

Cons

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

"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."

"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."

"The features we were missing in the past were related to the way we see our metrics and aggregate our data."

"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."

"The documentation of the tool could be improved"

More Coralogix cons

"The Databricks cluster can be improved."

"Generative AI is catching up in areas like data governance and enterprise flavor. Hence, these are places where Databricks has to be faster."

"We'd like a more visual dashboard for analysis It needs better UI."

"Databricks is not geared towards the end-user, but rather it is for data engineers or data scientists."

"There should be better integration with other platforms."

"The ability to customize our own pipelines would enhance the product, similar to what's possible using ML files in Microsoft Azure DevOps."

"Databricks has added some alerts and query functionality into their SQL persona, but the whole SQL persona, which is like a role, needs a lot of development. The alerts are not very flexible, and the query interface itself is not as polished as the notebook interface that is used through the data science and machine learning persona. It is clunky at present."

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

More Databricks cons

Pricing and Cost Advice

"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 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."

"The pricing depends on the usage itself."

"The solution is affordable."

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

"The price of Databricks is reasonable compared to other solutions."

"The solution requires a subscription."

"Databricks' cost could be improved."

"The licensing costs of Databricks depend on how many licenses we need, depending on which Databricks provides a lot of discounts."

"The cost for Databricks depends on the use case. I work on it as a consultant, so I'm using the client's Databricks, so it depends on how big the client is."

More Databricks pricing and cost advice

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Top Industries

By visitors reading reviews

Financial Services Firm

11%

Computer Software Company

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.

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?

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 ...

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

Comparisons

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Elastic Search vs Coralogix

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Sentry vs Coralogix

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Dataiku vs Databricks

Compared 10% 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 6% of the time

Tableau Enterprise vs Databricks

Compared 5% of the time

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Product Reports

Buyer's Guide

Coralogix

August 2025

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Buyer's Guide

Databricks

August 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

July 2025

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