Azure Stream Analytics vs Coralogix comparison

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Azure Stream Analytics

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Executive SummaryUpdated on Dec 17, 2024

Azure Stream Analytics and Coralogix compete in real-time data streaming and analysis. Azure tends to have an edge due to its integration within the Microsoft ecosystem, whereas Coralogix offers robust features and flexibility.

Features: Azure Stream Analytics offers seamless integration with other Azure services, built-in machine learning, and complex event processing. It enables real-time analytics with support for IoT Hub and Blob storage, allowing easy data handling and visualization. Users appreciate the smooth integration with Microsoft tools, providing efficient data processing with minimal setup. Coralogix excels in historical data analysis, log aggregation, and advanced querying. Its user-friendly interface assists both non-technical and technical users in managing detailed metrics and logs effortlessly. Offering comprehensive alerting and incident management, Coralogix provides detailed data insights and customization in log correlation and visualization.

Room for Improvement: Azure Stream Analytics could improve in cross-platform compatibility and more flexible cloud integrations. Users have indicated that enhancements in support for non-Microsoft products and reducing costs would benefit broader adoption. Coralogix might focus on enhancing its integration within specific ecosystems such as Microsoft Azure. Users have suggested more intuitive features in initial setup processes and better documentation to streamline complex configurations. Also, improving cost efficiency and aligning with competitive pricing models may broaden Coralogix's user base.

Ease of Deployment and Customer Service: Azure Stream Analytics benefits from easy deployment within Azure's ecosystem, making integration seamless for existing Microsoft users, bolstered by Microsoft's extensive support network. Coralogix provides flexible deployment across various cloud environments with dedicated support, aiding users in navigating their systems effectively. The distinction lies in Azure’s simplicity for Microsoft users, while Coralogix’s adaptability serves a broader audience.

Pricing and ROI: Azure Stream Analytics provides a cost-effective setup within the Azure ecosystem, appealing to organizations deeply integrated with Microsoft services. Its bundled service model provides impactful ROI. Coralogix involves higher initial costs, but its advanced features offer long-term ROI by optimizing data insights and efficiency. Azure's pricing structure supports economic scalability in its ecosystem, whereas Coralogix's pricing reflects its premium features aimed at comprehensive functionalities.

To learn more, read our detailed Azure Stream Analytics vs. Coralogix Report (Updated: September 2025).

Azure Stream Analytics vs. Coralogix

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

Azure Stream Analytics

Ranking in Streaming Analytics

4th

Average Rating

7.8

Reviews Sentiment

6.4

Number of Reviews

Ranking in other categories

No ranking in other categories

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)

Mindshare comparison

As of October 2025, in the Streaming Analytics category, the mindshare of Azure Stream Analytics is 7.6%, down from 12.2% compared to the previous year. The mindshare of Coralogix is 0.4%, up from 0.1% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Streaming Analytics Market Share Distribution
Product	Market Share (%)
Azure Stream Analytics	7.6%
Coralogix	0.4%
Other	92.0%

Streaming Analytics

Featured Reviews

Chandra Mani

Technical architect at Tech Mahindra

Has supported real-time data validation and processing across multiple use cases but can improve consumer-side integration and streamlined customization

I widely use AKS, Azure Kubernetes Service, Azure App Service, and there are APM Gateway kinds of things. I also utilize API Management and Front Door to expose any multi-region application I have, including Web Application Firewalls, and many more—around 20 to 60 services. I use Key Vault for managing secrets and monitoring Azure App Insights for tracing and monitoring. Additionally, I employ AI search for indexer purposes, processing chatbot data or any GenAI integration. I widely use OpenAI for GenAI, integrating various models with our platform. I extensively use hybrid cloud solutions to connect on-premise cloud or cloud to another network, employing public private endpoints or private link service endpoints. Azure DevOps is also on my list, and I leverage many security concepts for end-to-end design. I consider how end users access applications to data storage and secure the entire platform for authenticated users across various use cases, including B2C, B2B, or employee scenarios. I also widely design multi-tenant applications, utilizing Azure AD or Azure AD B2C for consumers. Azure Stream Analytics reads from any real-time stream; it's designed for processing millions of records every millisecond. They utilize Event Hubs for this purpose, as it allows for event processing. After receiving data from various sources, we validate and store it in a data store. Azure Stream Analytics can consume data from Event Hubs, applying basic validation rules to determine the validity of each record before processing.

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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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Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Pros

"I extensively use hybrid cloud solutions to connect on-premise cloud or cloud to another network, employing public private endpoints or private link service endpoints."

"The way it organizes data into tables and dashboards is very helpful."

"It provides the capability to streamline multiple output components."

"It was easy for me to use from the beginning. I am accustomed to working with Microsoft."

"The solution's most valuable feature is its ability to create a query using SQ."

"Real-time analytics is the most valuable feature of this solution. I can send the collected data to Power BI in real time."

"Provides deep integration with other Azure resources."

"It's scalable as a cloud product."

More Azure Stream Analytics pros

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

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

"The initial setup is straightforward."

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

"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."

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

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

More Coralogix pros

Cons

"Easier scalability and more detailed job monitoring features would be helpful."

"The solution doesn't handle large data packets very efficiently, which could be improved upon."

"Azure Stream Analytics could improve by having clearer metrics as to the scale, more metrics around the data set size that is flowing through it, and performance tuning recommendations."

"The solution’s customer support could be improved."

"The initial setup is complex."

"The UI should be a little bit better from a usability perspective."

"The solution could be improved by providing better graphics and including support for UI and UX testing."

"The only challenge was that the streaming analytics area in Azure Stream Analytics could not meet our company's expectations, making it a component where improvements are required."

More Azure Stream Analytics cons

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

"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 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. The increasing volume of data and the resulting bandwidth charges are concerns."

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

"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

Pricing and Cost Advice

"I rate the price of Azure Stream Analytics a four out of five."

"The cost of this solution is less than competitors such as Amazon or Google Cloud."

"There are different tiers based on retention policies. There are four tiers. The pricing varies based on steaming units and tiers. The standard pricing is $10/hour."

"Azure Stream Analytics is a little bit expensive."

"The current price is substantial."

"The licensing for this product is payable on a 'pay as you go' basis. This means that the cost is only based on data volume, and the frequency that the solution is used."

"The product's price is at par with the other solutions provided by the other cloud service providers in the market."

"When scaling up, the pricing for Azure Stream Analytics can get relatively high. Considering its capabilities compared to other solutions, I would rate it a seven out of ten for cost. However, we've found ways to optimize costs using tools like Databricks for specific tasks."

More Azure Stream Analytics pricing and cost advice

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

"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."

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

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Top Industries

By visitors reading reviews

Financial Services Firm

15%

Computer Software Company

13%

Manufacturing Company

Insurance Company

Financial Services Firm

11%

Computer Software Company

Manufacturing Company

Comms Service Provider

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	8
Midsize Enterprise	3
Large Enterprise	18

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

Questions from the Community

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...

What is your experience regarding pricing and costs for Azure Stream Analytics?

The solution does not need any license; it comes with your subscription.

What needs improvement with Azure Stream Analytics?

With the deployment of Azure Stream Analytics, there are many challenges. I am working with a DevOps team that I'm part of as a counselor. I'm working with them because they are working in other pa...

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.

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.

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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Product Reports

Download Azure Stream Analytics product report

Azure Stream Analytics

October 2025

Download Coralogix product report

October 2025

Also Known As

ASA

No data available

Overview

Azure Stream Analytics is a robust real-time analytics service that has been designed for critical business workloads. Users are able to build an end-to-end serverless streaming pipeline in minutes. Utilizing SQL, users are able to go from zero to production with a few clicks, all easily extensible with unique code and automatic machine learning abilities for the most advanced scenarios.

Azure Stream Analytics has the ability to analyze and accurately process exorbitant volumes of high-speed streaming data from numerous sources at the same time. Patterns and scenarios are quickly identified and information is gathered from various input sources, such as social media feeds, applications, clickstreams, sensors, and devices. These patterns can then be implemented to trigger actions and launch workflows, such as feeding data to a reporting tool, storing data for later use, or creating alerts. Azure Stream Analytics is also offered on Azure IoT Edge runtime, so the data can be processed on IoT devices.

Top Benefits

User friendly: Azure Stream Analytics is very straightforward and easy to use. Out of the box and with a few clicks, users are able to connect to numerous sources and sinks, and easily develop an end-to-end pipeline. Stream Analytics can easily connect to Azure IoT Hub and Azure Event Hub for streaming ingestion, in addition to connecting with Azure Blob storage for historical data ingestion.
Flexible deployment: For low-latency analytics, Azure Stream Analytics can run on Azure Stack or IoT edge. For large-scale analytics, the solution can run in the cloud. Azure Stream Analytics uses the same query language and tools for both the cloud and the edge, facilitating an easier process for developers to design exceptional hybrid architectures for streaming processes.
Cost-effective: With Azure Stream Analytics, users only pay for the streaming units they consume; there are no upfront costs. Users can easily scale up or down as needed; there is no commitment or cluster provisioning.
Trustworthy: Azure Stream Analytics guarantees event processing to be 99.99% available with a minute level of granularity. Azure Stream Analytics has embedded recovery capabilities and checkpoints to keep things running smoothly at all times. Events are never lost with Azure Stream Analytics at-least once delivery of events and exactly one event processing.

Reviews from Real Users

“Azure Stream Analytics is something that you can use to test out streaming scenarios very quickly in the general sense and it is useful for IoT scenarios. If I was to do a project with IoT and I needed a streaming solution, Azure Stream Analytics would be a top choice. The most valuable features of Azure Stream Analytics are the ease of provisioning and the interface is not terribly complex.” - Olubisi A., Team Lead at a tech services company.

“It's used primarily for data and mining - everything from the telemetry data side of things. It's great for streaming and makes everything easy to handle. The streaming from the IoT hub and the messaging are aspects I like a lot.” - Sudhendra U., Technical Architect at Infosys

Microsoft

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.

Sample Customers

Rockwell Automation, Milliman, Honeywell Building Solutions, Arcoflex Automation Solutions, Real Madrid C.F., Aerocrine, Ziosk, Tacoma Public Schools, P97 Networks

Payoneer, AGS, Monday.com, Capgemini