Azure Stream Analytics vs Coralogix comparison

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Executive Summary

We performed a comparison between Azure Stream Analytics and Coralogix based on real PeerSpot user reviews.

Find out in this report how the two Streaming Analytics solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.
To learn more, read our detailed Azure Stream Analytics vs. Coralogix Report (Updated: March 2024).
765,386 professionals have used our research since 2012.
Featured Review
Anonymous User
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 IoT part. We have mostly used Azure Stream Analytics services for it""The solution has a lot of functionality that can be pushed out to companies.""The most valuable features are the IoT hub and the Blob storage.""Provides deep integration with other Azure resources.""We use Azure Stream Analytics for simulation and internal activities.""The solution's technical support is good.""The way it organizes data into tables and dashboards is very helpful.""It's a product that can scale."

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"The solution is easy to use and to start with.""The solution offers very good convenience filtering.""The initial setup is straightforward.""A non-tech person can easily get used to it.""The best feature of this solution allows us to correlate logs, metrics and traces."

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Cons
"I would like to have a contact individual at Microsoft.""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.""The solution doesn't handle large data packets very efficiently, which could be improved upon.""The solution's interface could be simpler to understand for non-technical people.""Its features for event imports and architecture could be enhanced.""The initial setup is complex.""If something goes wrong, it's very hard to investigate what caused it and why.""The solution could be improved by providing better graphics and including support for UI and UX testing."

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"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.""The user interface could be more intuitive and explanatory.""Maybe they could make it more user-friendly.""The documentation of the tool could be improved""From my experience, Coralogix has horrible Terraform providers."

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Pricing and Cost Advice
  • "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."
  • "I rate the price of Azure Stream Analytics a four out of five."
  • "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."
  • "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."
  • "The current price is substantial."
  • "Azure Stream Analytics is a little bit expensive."
  • "The product's price is at par with the other solutions provided by the other cloud service providers in the market."
  • More Azure Stream Analytics Pricing and Cost Advice →

  • "We are paying roughly $5,000 a month."
  • "The cost of the solution is per volume of data ingested."
  • More Coralogix Pricing and Cost Advice →

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    765,386 professionals have used our research since 2012.
    Questions from the Community
    Top Answer: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… more »
    Top Answer:Customers need to pay for a license. However, we have a three-year upfront licensing arrangement, which helps to keep the costs relatively low.
    Top Answer:Easier scalability and more detailed job monitoring features would be helpful. Another room for improvement is the ingestion of data.
    Top Answer:The solution is easy to use and to start with.
    Top Answer:The pricing depends on our requirements. If you're going to use the bare minimum, then the pricing is quite cheap and is a good start for many companies. However, if you're going to do it full-scale… more »
    Top Answer:The user interface could be more intuitive and explanatory. Additionally, more advanced functionalities can be included in the next release.
    Ranking
    4th
    out of 38 in Streaming Analytics
    Views
    10,297
    Comparisons
    8,660
    Reviews
    12
    Average Words per Review
    379
    Rating
    8.3
    11th
    out of 38 in Streaming Analytics
    Views
    45
    Comparisons
    39
    Reviews
    5
    Average Words per Review
    566
    Rating
    8.0
    Comparisons
    Also Known As
    ASA
    Learn More
    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

    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
    Top Industries
    REVIEWERS
    Computer Software Company27%
    Manufacturing Company18%
    Insurance Company9%
    Government9%
    VISITORS READING REVIEWS
    Computer Software Company15%
    Financial Services Firm12%
    Manufacturing Company8%
    Comms Service Provider5%
    VISITORS READING REVIEWS
    Computer Software Company19%
    Financial Services Firm11%
    Healthcare Company6%
    Manufacturing Company6%
    Company Size
    REVIEWERS
    Small Business24%
    Midsize Enterprise10%
    Large Enterprise67%
    VISITORS READING REVIEWS
    Small Business20%
    Midsize Enterprise11%
    Large Enterprise69%
    REVIEWERS
    Small Business75%
    Large Enterprise25%
    VISITORS READING REVIEWS
    Small Business31%
    Midsize Enterprise13%
    Large Enterprise56%
    Buyer's Guide
    Azure Stream Analytics vs. Coralogix
    March 2024
    Find out what your peers are saying about Azure Stream Analytics vs. Coralogix and other solutions. Updated: March 2024.
    765,386 professionals have used our research since 2012.

    Azure Stream Analytics is ranked 4th in Streaming Analytics with 21 reviews while Coralogix is ranked 11th in Streaming Analytics with 6 reviews. Azure Stream Analytics is rated 8.0, while Coralogix is rated 8.4. The top reviewer of Azure Stream Analytics writes "Easy to set up and user-friendly, but could be priced better". On the other hand, the top reviewer of Coralogix writes "Good capabilities, has a helpful interface and is straightforward to set up". Azure Stream Analytics is most compared with Amazon Kinesis, Databricks, Amazon MSK, Apache Flink and Apache Spark, whereas Coralogix is most compared with Datadog, Grafana, Sentry, New Relic and Logz.io. See our Azure Stream Analytics vs. Coralogix report.

    See our list of best Streaming Analytics vendors.

    We monitor all Streaming Analytics reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.