Coralogix vs IBM Streams comparison

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Coralogix Logo
46 views|37 comparisons
88% willing to recommend
IBM Logo
674 views|593 comparisons
100% willing to recommend
Comparison Buyer's Guide
Executive Summary

We performed a comparison between Coralogix and IBM Streams based on real PeerSpot user reviews.

Find out what your peers are saying about Databricks, Amazon Web Services (AWS), Confluent and others in Streaming Analytics.
To learn more, read our detailed Streaming Analytics Report (Updated: April 2024).
768,740 professionals have used our research since 2012.
Featured Review
Quotes From Members
We asked business professionals to review the solutions they use.
Here are some excerpts of what they said:
Pricing and Cost Advice
  • "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."
  • More Coralogix Pricing and Cost Advice →

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    Questions from the Community
    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.
    Top Answer:The solution’s licenses pricing is different from one region to another region. I rate the solution’s pricing a seven out of ten.
    Top Answer:the limited number of connectors. This shall be overcome with work-arounds or eventually buying additional connectors to complete the solution.
    Top Answer:We use the solution for data pipeline by modernizing the traditional ETL jobs done through advanced streaming. Another use case is building the g2g streaming platform, which facilitates data exchange… more »
    Ranking
    11th
    out of 38 in Streaming Analytics
    Views
    46
    Comparisons
    37
    Reviews
    5
    Average Words per Review
    566
    Rating
    8.0
    15th
    out of 38 in Streaming Analytics
    Views
    674
    Comparisons
    593
    Reviews
    1
    Average Words per Review
    447
    Rating
    7.0
    Comparisons
    Datadog logo
    Compared 36% of the time.
    Grafana logo
    Compared 20% of the time.
    Sentry logo
    Compared 9% of the time.
    New Relic logo
    Compared 8% of the time.
    Elastic Search logo
    Compared 5% of the time.
    Confluent logo
    Compared 44% of the time.
    Apache Flink logo
    Compared 11% of the time.
    Apache Spark logo
    Compared 11% of the time.
    Apache NiFi logo
    Compared 8% of the time.
    Also Known As
    IBM InfoSphere Streams
    Learn More
    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.

    IBM Streams is an advanced analytic platform that allows user-developed applications to quickly ingest, analyze and correlate information as it arrives from thousands of data stream sources. The solution can handle very high data throughput rates, up to millions of events or messages per second. Streams helps you analyze data in motion, simplify development of streaming applications, and extend the value of existing systems.
    Sample Customers
    Payoneer, AGS, Monday.com, Capgemini
    Globo TV, All England Lawn Tennis Club, CenterPoint Energy, Consolidated Communications Holdings, Darwin Ecosystem, Emory University Hospital, ICICI Securities, Irish Centre for Fetal and Neonatal Translational Research (INFANT), Living Roads, Mobileum, Optibus, Southern Ontario Smart Computing Innovation Platform (SOSCIP), University of Alberta, University of Montana, University of Ontario Institute of Technology, Wimbledon 2015
    Top Industries
    REVIEWERS
    Financial Services Firm29%
    Manufacturing Company14%
    Computer Software Company14%
    Transportation Company14%
    VISITORS READING REVIEWS
    Computer Software Company19%
    Financial Services Firm12%
    Healthcare Company6%
    Manufacturing Company6%
    VISITORS READING REVIEWS
    Financial Services Firm24%
    Computer Software Company15%
    Comms Service Provider6%
    Real Estate/Law Firm5%
    Company Size
    REVIEWERS
    Small Business67%
    Large Enterprise33%
    VISITORS READING REVIEWS
    Small Business30%
    Midsize Enterprise12%
    Large Enterprise57%
    VISITORS READING REVIEWS
    Small Business18%
    Midsize Enterprise10%
    Large Enterprise72%
    Buyer's Guide
    Streaming Analytics
    April 2024
    Find out what your peers are saying about Databricks, Amazon Web Services (AWS), Confluent and others in Streaming Analytics. Updated: April 2024.
    768,740 professionals have used our research since 2012.

    Coralogix is ranked 11th in Streaming Analytics with 7 reviews while IBM Streams is ranked 15th in Streaming Analytics with 5 reviews. Coralogix is rated 8.4, while IBM Streams is rated 8.2. The top reviewer of Coralogix writes "Good capabilities, has a helpful interface and is straightforward to set up". On the other hand, the top reviewer of IBM Streams writes "A solution for data pipelines but has connector limitations". Coralogix is most compared with Datadog, Grafana, Sentry, New Relic and Elastic Search, whereas IBM Streams is most compared with Confluent, Azure Stream Analytics, Apache Flink, Apache Spark and Apache NiFi.

    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.