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: December 2025).

Azure Stream Analytics vs. Coralogix

December 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

3rd

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

15th

Average Rating

8.4

Reviews Sentiment

6.6

Number of Reviews

Ranking in other categories

Application Performance Monitoring (APM) and Observability (21st), Log Management (21st), Security Information and Event Management (SIEM) (22nd), API Management (15th), Anomaly Detection Tools (1st), AI Observability (18th)

Mindshare comparison

As of January 2026, in the Streaming Analytics category, the mindshare of Azure Stream Analytics is 6.2%, down from 11.6% compared to the previous year. The mindshare of Coralogix is 0.7%, up from 0.2% 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	6.2%
Coralogix	0.7%
Other	93.1%

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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Naveenkumar Lakshman

Presales Engineer at Crayon AS

Centralized monitoring has improved real-time issue tracking and reduced root cause analysis time

One of the best features that Coralogix offers is that it is integration friendly. I can seamlessly work with different cloud providers including AWS, Azure, and GCP. I can monitor Kubernetes or Docker platforms as well, and I can integrate with the DevOps chain including Jenkins and all infrastructure code, Terraform, or Ansible. Coralogix has positively impacted my organization by providing a centralized console to monitor the dashboard, giving me rich flexibility to see different sorts of data that is spread across the logs, metrics, or traces, which are the typical pillars of the observability tool. I have the interface where I can use the drag-and-drop feature, and I can create different types of charts. Mainly, I have the line charts and time series ones that I generally use in many use cases, gauges, tables, pie charts, or markdown widgets. These are the ones generically available, and I can switch between the visualization types. I am getting the underlying query in that and can import and export dashboards built upon the JSON format. I can have my own APIs integrated with my dashboards as well, such as with Terraform, which is useful for scaling across my environments. Regarding root cause analysis, mainly what I can do is correlate across all of the layers because the main logs that I work on are storage-related, including CIFS, NFS, SAN traffic, and the metrics including storage, throughput, or VM resource usage. Being able to view logs, metrics, or traces available, I get all of these in one place, and I can do root cause analysis much quicker.

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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 like the way the UI looks, and the real-time analytics service is aligned to this. That can be helpful if I have to use this on a production service."

"The solution has a lot of functionality that can be pushed out to companies."

"Azure Stream Analytics reads from any real-time stream; it's designed for processing millions of records every millisecond."

"I like all the connected ecosystems of Microsoft, it is really good with other BI tools that are easy to connect."

"The most valuable aspect is the SQL option that Azure Stream Analytics provides."

"It's scalable as a cloud product."

"We find the query editor feature of this solution extremely valuable for our business."

"We use Azure Stream Analytics for simulation and internal activities."

More Azure Stream Analytics pros

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

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

"The initial setup is straightforward."

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

"Coralogix has positively impacted my organization by providing a centralized console to monitor the dashboard, giving me rich flexibility to see different sorts of data that is spread across the logs, metrics, or traces, which are the typical pillars of the observability tool."

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

"The solution offers very good convenience filtering."

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

More Coralogix pros

Cons

"There are too many products in the Azure landscape, which sometimes leads to overlap between them."

"Azure Stream Analytics is challenging to customize because it's not very flexible."

"There may be some issues when connecting with Microsoft Power BI because we are providing the input and output commands, and there's a chance of it being delayed while connecting."

"It is not complex, but it requires some development skills. When the data is sent from Azure Stream Analytics to Power BI, I don't have the access to modify the data. I can't customize or edit the data or do some queries. All queries need to be done in the Azure Stream Analytics."

"One area that could use improvement is the handling of data validation. Currently, there is a review process, but sometimes the validation fails even before the job is executed. This results in wasted time as we have to rerun the job to identify the failure."

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

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

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

"In terms of documentation, I think there can be more user-friendly documentation that stresses more on day-to-day issues."

"It would be helpful if Coralogix could integrate the main modules that any organization requires into a single subscription."

"The documentation of the tool could be improved"

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

"Coralogix's dashboard and search capabilities do not help me in any particular way."

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

More Coralogix cons

Pricing and Cost Advice

"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."

"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."

"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."

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

"The current price is substantial."

"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."

"We pay approximately $500,000 a year. It's approximately $10,000 a year per license."

More Azure Stream Analytics 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."

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

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Top Industries

By visitors reading reviews

Financial Services Firm

14%

Computer Software Company

11%

Manufacturing Company

University

Financial Services Firm

10%

Computer Software Company

10%

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	2
Large Enterprise	5

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?

Azure charges in various ways based on incoming and outgoing data processing activities. Choosing between pay-as-you-go or enterprise models can affect pricing, and depending on data volume, charge...

What needs improvement with Azure Stream Analytics?

There is a need for improvement in reprocessing or validation without custom code. Azure Stream Analytics currently allows some degree of code writing, which could be simplified with low-code or no...

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?

To monitor and manage costs associated with Coralogix, I analyze my trend, looking at how the data is being ingested. Generally, it is charged based on what we store, and therefore there are certai...

What needs improvement with Coralogix?

I think Coralogix can be improved with flexible dashboards. Creating specific views, such as saving a dev environment as a separate view rather than adding filters every time, would be great.

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Comparisons

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Compared 12% of the time

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Compared 7% of the time

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Compared 14% of the time

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Compared 6% of the time

Logz.io vs Coralogix

Compared 6% of the time

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Product Reports

Download Azure Stream Analytics product report

Azure Stream Analytics

January 2026

Download Coralogix product report

January 2026

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