Azure Stream Analytics vs Coralogix comparison

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92% willing to recommend

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: June 2025).

Azure Stream Analytics vs. Coralogix

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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

8.0

Reviews Sentiment

6.9

Number of Reviews

Ranking in other categories

No ranking in other categories

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)

Mindshare comparison

As of June 2025, in the Streaming Analytics category, the mindshare of Azure Stream Analytics is 9.4%, down from 12.5% compared to the previous year. The mindshare of Coralogix is 0.2%, up from 0.1% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Streaming Analytics

Featured Reviews

SantiagoCordero

Director, Governance & Infrastructure & Director at VASS

Native connectors and integration simplify tasks but portfolio complexity needs addressing

There are too many products in the Azure landscape, which sometimes leads to overlap between them. Microsoft continuously releases new products or solutions, which can be frustrating when determining the appropriate features from one solution over another. A cost comparison between products is also not straightforward. They should simplify their portfolio. The Microsoft licensing system is confusing and not easy to understand, and this is something they should address. In the future, I may stop using Stream Analytics and move to other solutions. I discussed Palantir earlier, which is something I want to explore in depth because it allows me to accomplish more efficiently compared to solely using Azure. Additionally, the vendors should make the solution more user-friendly, incorporating low-code and no-code features. This is something I wish to explore further.

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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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Quotes from Members

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

Pros

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

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

"The most valuable features are the IoT hub and the Blob storage."

"The most valuable features of Azure Stream Analytics are the ease of provisioning and the interface is not terribly complex."

"I appreciate this solution because it leverages open-source technologies. It allows us to utilize the latest streaming solutions and it's easy to develop."

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

"The integrations for this solution are easy to use and there is flexibility in integrating the tool with Azure Stream Analytics."

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

More Azure Stream Analytics pros

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

"The initial setup is straightforward."

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

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

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

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

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

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

More Coralogix pros

Cons

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

"The collection and analysis of historical data could be better."

"There is a lack of technical support from Microsoft's local office, particularly in Taiwan."

"We would like to have centralized platform altogether since we have different kind of options for data ingestion. Sometimes it gets difficult to manage different platforms."

"The solution's interface could be simpler to understand for non-technical people."

"The initial setup is complex."

"I would like to have a contact individual at Microsoft."

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

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."

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

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

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

"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."

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

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

More Coralogix cons

Pricing and Cost Advice

"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."

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

"The current price is substantial."

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

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

"Azure Stream Analytics is a little bit expensive."

"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."

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."

"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."

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Top Industries

By visitors reading reviews

Financial Services Firm

15%

Computer Software Company

15%

Manufacturing Company

Retailer

Computer Software Company

13%

Financial Services Firm

11%

Manufacturing Company

Healthcare Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

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?

Regarding the cost of Azure Stream Analytics, I believe the price is reasonable for the tool.

What needs improvement with Azure Stream Analytics?

There were challenges with Azure Stream Analytics. When I initially started, the learning curve was difficult because I didn't have knowledge of the service. There's setup time required to get it i...

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 ...

Databricks vs Azure Stream Analytics

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Product Reports

Azure Stream Analytics

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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

Azure Stream Analytics vs. Coralogix