Loom Systems vs Splunk User Behavior Analytics comparison

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2,217 views|1,362 comparisons
100% willing to recommend
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Executive Summary

We performed a comparison between Loom Systems and Splunk User Behavior Analytics based on real PeerSpot user reviews.

Find out what your peers are saying about Zabbix, Datadog, Auvik and others in IT Infrastructure Monitoring.
To learn more, read our detailed IT Infrastructure Monitoring Report (Updated: May 2024).
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Featured Review
Quotes From Members
We asked business professionals to review the solutions they use.
Here are some excerpts of what they said:
Pros
"You can develop your own apps within Loom, and they can be configured very simply.""What I like best about Loom Systems is that you can use it for infrastructure monitoring. I also like that it's a flexible solution.""The solution is absolutely scalable. If an organization needs to expand it out they definitely can.""The RFS portion of the solution is the product's most valuable feature."

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"The product is at the forefront of auto-remediation networking. It's great.""It is a solution that helps test and measure customer satisfaction.""It's straightforward in terms of configuration and troubleshooting and log management and monitoring as well. These are the edge points in addition to it being a modular solution where you can capitalize on your current licenses with extra licensing models, which can match the customer's business requirement and it can help the customer to design or to actually plan for their own roadmap.""The solution appears to be stable, although we haven't used it heavily.""The solution is extremely scalable. Our customers are regularly scaling up after installing Splunk.""The most valuable feature is being able to take data and put it into other systems so that we could see the output, and to see where we need to apply our focus.""We are really pleased with Splunk and its features. It would be practically impossible to function without it. To provide a general overview of the system, it's important to note that the standard log files are currently around 250 gigabytes per day. It would be impossible to manually walk through these logs by hand, which is why automation is essential.""The most valuable features are the indexing and powerful search features."

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Cons
"The change management within the solution needs to be improved. There needs to be more process automation.""The discovery and mapping still takes a lot of human intervention, it's quite resource heavy,""The reporting is a bit weak. They should work to improve this aspect of the product.""What's lacking in Loom Systems is the level of priority for each incident. For example, after implementation and there was a huge impact on the client, and the client comes back to you and says that there's an incident, that there needs to be an immediate resolution for it, you'll see severity one, severity two, etc., in Loom Systems, rather than priority levels. It would be better if the incidents can be defined as low priority, medium priority, or high priority."

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"They should work to add more built-in correlation searches and more use cases based on worldwide customer experiences. They need more ready-made use cases.""I'm not aware of any lacking features.""The ability to do more complicated data investigation would be a welcome addition for pros, though the functionality now gives most people what they need.""We want to have an automated system for bot hunting that enables us to detect anomalies predictively based on historical data. It would be helpful if Splunk included process mining as an alternative option. We have a threat workflow, but it would be useful if we could supplement that with some process mining capabilities over time.""We'd like the ability to do custom searches.""The solution is much more expensive than relative competitors like ArcSight or LogRhythm. It makes it hard to sell to customers sometimes.""If the price was lowered and the setup process was less complex, I would consider rating it higher.""It would be good if the solution had an analytics tool that allowed us to analyze the data without writing specific queries."

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Pricing and Cost Advice
Information Not Available
  • "I hope we can increase the free license to be more than 5 gig a day. This would help people who want to introduce a POC or a demo license for the solution."
  • "My biggest complaint is the way they do pricing... You can never know the pricing for next year. Every single time you adjust to something new, the price goes up. It's impossible to truly budget for it. It goes up constantly."
  • "There are additional costs associated with the integrator."
  • "The licensing costs is around 10,000 dollars."
  • "Pricing varies based on the packages you choose and the volume of your usage."
  • "I am not aware of the price, but it is expensive."
  • More Splunk User Behavior Analytics Pricing and Cost Advice →

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    Questions from the Community
    Top Answer:What I like best about Loom Systems is that you can use it for infrastructure monitoring. I also like that it's a flexible solution.
    Top Answer:What's lacking in Loom Systems is the level of priority for each incident. For example, after implementation and there was a huge impact on the client, and the client comes back to you and says that… more »
    Top Answer:We've been using Loom Systems for all client requirements and whatever we get from ITSM, specifically implementation, deployment, migration, and automation. We also use the solution for root cause… more »
    Top Answer:The solution's most valuable feature is Splunk queries, which allow us to query the logs and analyze the attack vectors.
    Top Answer:I am not aware of the price, but it is expensive. A rough estimate would be around 150 gigabytes, given the huge amount of data. At the moment there are no additional costs for maintenance.
    Top Answer:Sometimes, we need to write explicit queries. It would be good if the solution had an analytics tool that allowed us to analyze the data without writing specific queries. The solution's user interface… more »
    Ranking
    Views
    320
    Comparisons
    207
    Reviews
    1
    Average Words per Review
    414
    Rating
    7.0
    Views
    2,217
    Comparisons
    1,362
    Reviews
    6
    Average Words per Review
    360
    Rating
    8.3
    Comparisons
    Also Known As
    Caspida, Splunk UBA
    Learn More
    Splunk
    Video Not Available
    Overview
    Loom Systems delivers an advanced AI-powered operational analytics platform to predict and prevent problems in the digital business. DevOps & IT teams use Loom for real-time detection and resolution for any type of application, including home-grown. Loom analyzes logs and metrics in all formats, performs smart correlations and root cause analysis to help organizations gain immediate into their environments. Loom stands alone in the industry as an AI platform requiring no prior math knowledge from its operators, leveraging your existing staff to succeed in the digital era. Getting started is easy - zero configuration and data pre-processing needed, so you can stream your data in its raw format.

    Splunk User Behavior Analytics is a behavior-based threat detection is based on machine learning methodologies that require no signatures or human analysis, enabling multi-entity behavior profiling and peer group analytics for users, devices, service accounts and applications. It detects insider threats and external attacks using out-of-the-box purpose-built that helps organizations find known, unknown and hidden threats, but extensible unsupervised machine learning (ML) algorithms, provides context around the threat via ML driven anomaly correlation and visual mapping of stitched anomalies over various phases of the attack lifecycle (Kill-Chain View). It uses a data science driven approach that produces actionable results with risk ratings and supporting evidence that increases SOC efficiency and supports bi-directional integration with Splunk Enterprise for data ingestion and correlation and with Splunk Enterprise Security for incident scoping, workflow management and automated response. The result is automated, accurate threat and anomaly detection.

    Sample Customers
    Citrix, Amdocs, Sysaid, Hexaware, Effibar, Revtrak, Taptica
    8 Securities, AAA Western, AdvancedMD, Amaya, Cerner Corporation, CJ O Shopping, CloudShare, Crossroads Foundation, 7-Eleven Indonesia
    Top Industries
    VISITORS READING REVIEWS
    Financial Services Firm23%
    Computer Software Company16%
    Media Company9%
    Real Estate/Law Firm9%
    REVIEWERS
    Financial Services Firm40%
    Insurance Company10%
    Government10%
    Security Firm10%
    VISITORS READING REVIEWS
    Computer Software Company15%
    Financial Services Firm14%
    Government10%
    Manufacturing Company8%
    Company Size
    VISITORS READING REVIEWS
    Small Business23%
    Midsize Enterprise9%
    Large Enterprise68%
    REVIEWERS
    Small Business29%
    Midsize Enterprise29%
    Large Enterprise41%
    VISITORS READING REVIEWS
    Small Business20%
    Midsize Enterprise12%
    Large Enterprise68%
    Buyer's Guide
    IT Infrastructure Monitoring
    May 2024
    Find out what your peers are saying about Zabbix, Datadog, Auvik and others in IT Infrastructure Monitoring. Updated: May 2024.
    772,679 professionals have used our research since 2012.

    Loom Systems is ranked 58th in IT Infrastructure Monitoring with 4 reviews while Splunk User Behavior Analytics is ranked 2nd in User Entity Behavior Analytics (UEBA) with 18 reviews. Loom Systems is rated 8.0, while Splunk User Behavior Analytics is rated 8.2. The top reviewer of Loom Systems writes "Simple and very effective for developing and configuring apps with great integration capabilities". On the other hand, the top reviewer of Splunk User Behavior Analytics writes "Easy to configure and easy to use solution that integrates with many applications and scripts ". Loom Systems is most compared with Elastic Search, VMware Aria Operations for Applications and Splunk Infrastructure Monitoring, whereas Splunk User Behavior Analytics is most compared with Darktrace, Microsoft Defender for Identity, IBM Security QRadar, Cynet and Exabeam Fusion SIEM.

    We monitor all IT Infrastructure Monitoring 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.