Coralogix vs Databricks comparison

Coralogix and Databricks are both solutions in the Streaming Analytics category. Coralogix is ranked #14 with an average rating of 8.2, while Databricks is ranked #1 with an average rating of 8.4. Coralogix holds a 0.4% mindshare in SA, compared to Databricks’s 12.5% 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

2,838 Views
85 Comparison Views

92% willing to recommend

Databricks

Read 91 Databricks reviews

20,775 Views
3,740 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: September 2025).

Buyer's Guide

Coralogix vs. Databricks

September 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

14th

Average Rating

8.2

Reviews Sentiment

7.0

Number of Reviews

Ranking in other categories

Application Performance Monitoring (APM) and Observability (20th), Log Management (21st), Security Information and Event Management (SIEM) (23rd), API Management (15th), 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 (9th), Data Science Platforms (1st)

Mindshare comparison

As of October 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 12.5%, down from 12.8% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Streaming Analytics Market Share Distribution
Product	Market Share (%)
Databricks	12.5%
Coralogix	0.4%
Other	87.1%

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 solution is easy to use and to start with."

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

"The initial setup is straightforward."

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

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

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

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

"The solution offers very good convenience filtering."

More Coralogix pros

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

"Ability to work collaboratively without having to worry about the infrastructure."

"Imageflow is a visual tool that helps make it easier for business people to understand complex workflows."

"We like that this solution can handle a wide variety and velocity of data engineering, either in batch mode or real-time."

"I like the ability to use workspaces with other colleagues because you can work together even without seeing the other team's job."

"The most valuable feature of Databricks is the integration with Microsoft Azure."

"Having one solution for everything, from data engineering to machine learning, is beneficial since everything comes under one hood."

"The solution is very simple and stable."

More Databricks pros

Cons

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

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

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

"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."

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

"The documentation of the tool could be improved"

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

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

More Coralogix cons

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

"Cluster failure is one of the biggest weaknesses I notice in our Databricks."

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

"The solution could be improved by integrating it with data packets. Right now, the load tables provide a function, like team collaboration. Still, it's unclear as to if there's a function to create different branches and/or more branches. Our team had used data packets before, however, I feel it's difficult to integrate the current with the previous data packets."

"The product could be improved regarding the delay when switching to higher-performing virtual machines compared to other platforms."

"I would like to see more documentation in terms of how an end-user could use it, and users like me can easily try it and implement use cases."

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

"Pricing is one of the things that could be improved."

More Databricks cons

Pricing and Cost Advice

"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."

"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."

"We implement this solution on behalf of our customers who have their own Azure subscription and they pay for Databricks themselves. The pricing is more expensive if you have large volumes of data."

"The solution is based on a licensing model."

"The pricing depends on the usage itself."

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

"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."

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

More Databricks pricing and cost advice

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Top Industries

By visitors reading reviews

Financial Services Firm

11%

Computer Software Company

Manufacturing Company

Comms Service Provider

Financial Services Firm

18%

Computer Software Company

Manufacturing Company

Healthcare Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	8
Midsize Enterprise	1
Large Enterprise	4

By reviewers
Company Size	Count
Small Business	25
Midsize Enterprise	12
Large Enterprise	56

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

Datadog vs Coralogix

Compared 23% of the time

New Relic vs Coralogix

Compared 11% of the time

Grafana vs Coralogix

Compared 9% of the time

Logz.io vs Coralogix

Compared 7% of the time

Elastic Search vs Coralogix

Compared 7% of the time

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Microsoft Power BI vs Databricks

Compared 9% of the time

Dataiku vs Databricks

Compared 8% of the time

Informatica PowerCenter vs Databricks

Compared 7% of the time

Dremio vs Databricks

Compared 5% of the time

Tableau Enterprise vs Databricks

Compared 4% of the time

More Databricks Competitors

Product Reports

Buyer's Guide

Coralogix

October 2025

Download Coralogix product report

Buyer's Guide

Databricks

October 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 offers a scalable, versatile platform that integrates seamlessly with Spark and multiple languages, supporting data engineering, machine learning, and analytics in a unified environment.

Databricks stands out for its scalability, ease of use, and powerful integration with Spark, multiple languages, and leading cloud services like Azure and AWS. It provides tools such as the Notebook for collaboration, Delta Lake for efficient data management, and Unity Catalog for data governance. While enhancing data engineering and machine learning workflows, it faces challenges in visualization and third-party integration, with pricing and user interface navigation being common concerns. Despite needing improvements in connectivity and documentation, it remains popular for tasks like real-time processing and data pipeline management.

What features make Databricks unique?

Notebook: Enables collaborative work among team members.
Delta Lake: Optimizes data management operations.
Unity Catalog: Provides governance over data assets.
Cloud Integration: Seamlessly connects with major cloud platforms.

What benefits can users expect from Databricks?

Versatility: Supports diverse applications in data science and engineering.
Performance: Delivers efficient handling of large-scale analytics tasks.
Collaboration: Enhances teamwork in data projects.
Unified Environment: Centralizes machine learning and analytics activities.

In the tech industry, Databricks empowers teams to perform comprehensive data analytics, enabling them to conduct extensive ETL operations, run predictive modeling, and prepare data for SparkML. In retail, it supports real-time data processing and batch streaming, aiding in better decision-making. Enterprises across sectors leverage its capabilities for creating secure APIs and managing data lakes effectively.

Databricks

Sample Customers

Payoneer, AGS, Monday.com, Capgemini

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

Buyer's Guide

Coralogix vs. Databricks

September 2025

Free Report: Coralogix vs. Databricks

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