IBM Streams vs Moogsoft comparison

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IBM Logo
644 views|569 comparisons
100% willing to recommend
Moogsoft Logo
2,325 views|1,585 comparisons
93% willing to recommend
Comparison Buyer's Guide
Executive Summary

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

Find out what your peers are saying about Amazon Web Services (AWS), Databricks, Microsoft and others in Streaming Analytics.
To learn more, read our detailed Streaming Analytics Report (Updated: April 2024).
770,292 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
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  • "It's a very cost-effective and competitive product."
  • "When compared to other solutions, it is quite good."
  • "Moogsoft's licensing is consumption-based, so the price may increase depending on the environment."
  • More Moogsoft Pricing and Cost Advice →

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    Questions from the Community
    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 »
    Top Answer:Incident management is streamlined with Moogsoft. One standout feature is its unique situation-creation capability, differentiating it from other fault management tools. While other tools typically… more »
    Top Answer:Compared to other similar products in the market, Moogsoft remains at a relatively competitive level. However, when assessing its position among comparable AI ops solutions, it tends to be more… more »
    Top Answer:The tool needs to improve its support. It appears that the support responsiveness from Moogsoft is not aligned with the severity of the incident. Instead of proactively addressing issues, customers… more »
    Ranking
    15th
    out of 38 in Streaming Analytics
    Views
    644
    Comparisons
    569
    Reviews
    1
    Average Words per Review
    447
    Rating
    7.0
    Views
    2,325
    Comparisons
    1,585
    Reviews
    3
    Average Words per Review
    503
    Rating
    7.7
    Comparisons
    Confluent logo
    Compared 42% of the time.
    Apache Spark logo
    Compared 12% of the time.
    Apache Flink logo
    Compared 10% of the time.
    Amazon MSK logo
    Compared 8% of the time.
    BigPanda logo
    Compared 11% of the time.
    Dynatrace logo
    Compared 9% of the time.
    Dell CloudIQ logo
    Compared 9% of the time.
    OpsRamp logo
    Compared 9% of the time.
    Also Known As
    IBM InfoSphere Streams
    Learn More
    Overview
    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.

    Moogsoft is an AI-based solution that ensures continuous availability and prevents downtime by utilizing machine learning and advanced correlation on your organization’s stack. Moogsoft detects incidents before they can escalate, notifies the proper response teams, and applies machine learning in order to understand patterns to help prevent similar issues in the future.

    Moogsoft sits on top of an organization’s production stack and extends across automation, service management, log indexing, and notification tools. Algorithmic Noise Reduction automatically reduces event volumes to unique alerts without relying on rules, filters, or models. This enables teams to analyze all monitoring ecosystem events with no noise and no blind spots.

    With Moogsoft extensive integration options, users can aggregate all their observable data into a single location and create automated workflows to detect and remediate incidents in third-party systems, ensuring their system remains unharmed. Moogsoft’s anomaly detection tools detect incidents as they emerge, allowing security teams to respond swiftly before they impact customers.

    Teams can easily set up their own integrations using Moogsoft’s REST API and webhook. The solution provides guidance for each step, allowing users to import data from whatever tool they need with just a few mouse clicks.

    Some of Moogsoft’s top features and benefits include:

    • Alert noise reduction: By automatically applying statistical calculations and noise-reduction technologies to its alert data, Moogsoft eliminates unnecessary noise. This makes it easier to spot anomalies and alert only for important warnings.

    • Correlation: The Moogsoft correlation methods analyze alerts to identify common ground across incidents and events. With Moogsoft’s sophisticated visualization tools, users can view patterns by location, source, or service.

    • Anomaly detection: Moogsoft is designed to automatically reduce data, helping make anomalies more visible to security teams. Together with Moogsoft’s correlation abilities, it is simple to detect the probable root cause of issues that arise.

    • Custom integrations: Integrating with Moogsoft is seamless. Moogsoft’s REST API and webhooks allow developers to easily retrieve and update data and launch events. Integrations enable full visibility to ensure that apps and services are continuously running.

    • Collaboration: Moogsoft provides easy integration options with existing collaboration tools such as Microsoft Teams, PagerDuty, or Slack, allowing team members to gain visibility into the big picture of any incident that arises. No matter what their defined role in the organization is, everyone on the DevOps team can immediately step in when needed.

    • Data enrichment: Multidomain enrichment data added as context with ingested alerts provide teams with important information on incidents, such as location, department, business relationships, and escalation processes. All data is imported from configuration database management systems, asset management databases, and discovery systems.

    • User-friendly interface: Moogsoft’s intuitive interface provides users with full step-by-step support. This includes videos and tutorials for all user levels.

    Reviews from Real Users

    Moogsoft stands out among its competitors for a number of reasons. A few major ones are its monitoring tools, its user-friendly interface, and its strong AI capabilities.

    Vivek S., an O&M Lead at a communications service provider, writes, “The most valuable feature is the monitoring manager. Different components and different monitoring tools integrate with and send data to Moogsoft.

    This is a user-friendly solution. It is very easy and very comfortable to use, with everything available on a single screen.

    The AI component allows you to check previous cases and diagnose problems easily. It will show you what happened last time the same event occurred.”

    Sample Customers
    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
    RetailNext
    Top Industries
    VISITORS READING REVIEWS
    Financial Services Firm23%
    Computer Software Company15%
    Comms Service Provider6%
    Healthcare Company5%
    VISITORS READING REVIEWS
    Financial Services Firm21%
    Computer Software Company11%
    Manufacturing Company9%
    Energy/Utilities Company7%
    Company Size
    VISITORS READING REVIEWS
    Small Business17%
    Midsize Enterprise10%
    Large Enterprise73%
    REVIEWERS
    Small Business20%
    Midsize Enterprise27%
    Large Enterprise53%
    VISITORS READING REVIEWS
    Small Business16%
    Midsize Enterprise8%
    Large Enterprise76%
    Buyer's Guide
    Streaming Analytics
    April 2024
    Find out what your peers are saying about Amazon Web Services (AWS), Databricks, Microsoft and others in Streaming Analytics. Updated: April 2024.
    770,292 professionals have used our research since 2012.

    IBM Streams is ranked 15th in Streaming Analytics with 5 reviews while Moogsoft is ranked 38th in IT Infrastructure Monitoring with 11 reviews. IBM Streams is rated 8.2, while Moogsoft is rated 7.6. The top reviewer of IBM Streams writes "A solution for data pipelines but has connector limitations". On the other hand, the top reviewer of Moogsoft writes "A cost-efffective cloud solution for noise filtration but needs enhanced interfaces". IBM Streams is most compared with Confluent, Apache Spark, Azure Stream Analytics, Apache Flink and Amazon MSK, whereas Moogsoft is most compared with ServiceNow IT Operations Management, BigPanda, Dynatrace, Dell CloudIQ and OpsRamp.

    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.