Elastic Observability vs ScienceLogic comparison

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Elastic Logo
6,218 views|5,089 comparisons
90% willing to recommend
ScienceLogic Logo
2,262 views|1,669 comparisons
93% willing to recommend
Comparison Buyer's Guide
Executive Summary

We performed a comparison between Elastic Observability and ScienceLogic based on real PeerSpot user reviews.

Find out in this report how the two Cloud Monitoring Software solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.
To learn more, read our detailed Elastic Observability vs. ScienceLogic Report (Updated: March 2024).
768,857 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:
Pros
"Its diverse set of features available on the cloud is of significant importance.""For full stack observability, Elastic is the best tool compared with any other tool .""Machine learning is the most valuable feature of this solution.""It is a powerful tool that allows users to collect and transform logs as needed, enabling flexible visualization and analysis.""The solution has been stable in our usage.""The architecture and system's stability are simple.""It has always been a stable solution.""Elastic APM has plenty of features, such as the Elastic server for Kibana and many additional plugins. It's a comprehensive tool when used as a logging platform."

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"The tool is quite easy to deploy, and it offers very good support.""One of the valuable features is rapid dashboards.""Dynamic Component Mapping is key and unique.""It has good monitoring capabilities across cloud environments, data centers, and hybrid environments.""Provides agentless monitoring so there's no need to install the agent on each server.""The best feature is the highly flexible graphs.""Best feature of all is detailed monitoring of services, processes, ports and SSL certificates and or web content.""Power packs."

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Cons
"There is room for improvement regarding its APM capabilities.""Elastic Observability is reactive rather than proactive. It should act as an ITSM tool and be able to create tickets and alerts on Jira.""The tool's scalability involves a more complex implementation process. It requires careful calculations to determine the number of nodes needed, the specifications of each node, and the configuration of hot, warm, and cold zones for data storage. Additionally, managing log retention policies adds further complexity. The solution's pricing also needs to be cheaper.""Elastic Observability is an excellent product for monitoring and visibility, but it lacks predictive analytics. Most solutions are aligned with the AIOps requirements, but this piece is missing in Elastic and should be included.""They need more skills in the market. There are not enough skills in the market. It is not pervasive enough on the market, in my opinion. In other words, there isn't a big enough user base.""Improving code insight related to infrastructure and network, particularly focusing on aspects such as firewalls, switches, routers, and testing would be beneficial.""The auto-discovery isn't nearly as good. That's a big portion of it. When you drop the agent onto the JVM and you're trying to figure things out, having to go through and manually do all that is cumbersome.""The solution needs to use more AI. Once the product onboards AI, users would more effectively be able to track endpoints for specific messages."

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"Addressing duplicate IPs: There is the ability to edit the DB and fix this, but adding some logic to understand them would be a plus.""One important area we feel could be improved is the UI. It takes a lot of clicks to do very simple tasks.""The product is not user-friendly.""They need a little more self-service.""Admins do not have direct access to the reporting.""I would like to see out-of-the-box standard dashboards for common services.""They should improve their support process and add chat.""From a performance perspective, it needs to improve a lot."

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Pricing and Cost Advice
  • "So far, there are just the standard licensing fees. Several of the components are embedded in the license or are even open source. They're even free depending on what you use, which makes it even more appealing to someone that is discussing pricing of the solution."
  • "There are two types: cloud and SaaS. They charge based on data ingestion, ingest rate, hard retention, and warm retention. I believe it costs around $25,000 annually to ingest 30GB of data daily. That is the SaaS version. There is also a self-managed license where the customer manages their own infrastructure on-prem. In such cases, there are three license tiers that respectively cost $5,000 annually per node, $7,000 per node, and $12,500 per node."
  • "Pricing is one of those situations where the more you use it, the more you pay."
  • "The price of Elastic Observability is expensive."
  • "Users have to pay for some features, like the alerts on different channels, because they are unavailable in different source versions."
  • "One needs to pay for the licenses, and it is an annual subscription model right now."
  • "Since we are a huge company, Elastic Observability is an affordable solution for us."
  • "We will buy a premium license after POC."
  • More Elastic Observability Pricing and Cost Advice →

  • "Pricing between the two is quiet large therefore you can save some money if you don't require to collect all info on each device."
  • "Decide what you want to monitor and only monitor those items. Absorb other elements as you grow."
  • "Plan for adding more to it. Once you see EM7 in action, you will want to keep adding systems to monitor."
  • "It comes with the OS built in, so no need to purchase an OS license or DB license."
  • "Its price could be lower, but for what you pay, you got a lot of value from its features and functionalities. Customers always want a discount or a cheaper solution."
  • "The pricing model for ScienceLogic could improve."
  • "The solution is license-based. It's between $8 and $15, depending on what you need from the product."
  • "I'm not the best person to discuss pricing, but what I do know is that it's a use-and-go structure. You use this much storage and pay this much for it. That's how it is. Every time, we continue to add a large amount of data to the environment."
  • More ScienceLogic Pricing and Cost Advice →

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    Questions from the Community
    Top Answer:Elastic Observability significantly improves incident response time by providing quick access to logs and data across various sources. For instance, searching for specific keywords in logs spanning… more »
    Top Answer:I rate the pricing a five out of ten. The product is not that cheap.
    Top Answer:The tool's scalability involves a more complex implementation process. It requires careful calculations to determine the number of nodes needed, the specifications of each node, and the configuration… more »
    Top Answer:The tool is quite easy to deploy, and it offers very good support.
    Top Answer:My company has an enterprise-level contract with ScienceLogic, so it is available to my organization at a good price.
    Top Answer:The product's reporting functionalities have certain shortcomings, making it an area where improvements are required. The tool is more or less good. The tool needs to improve its APM capabilities.
    Ranking
    Views
    6,218
    Comparisons
    5,089
    Reviews
    16
    Average Words per Review
    445
    Rating
    7.9
    12th
    Views
    2,262
    Comparisons
    1,669
    Reviews
    11
    Average Words per Review
    978
    Rating
    7.8
    Comparisons
    Learn More
    Overview
    To effectively monitor and gain insights across your distributed systems, you need to have all your observability data in one stack. Break down silos by bringing together application, infrastructure, and user data into a unified solution for end-to-end observability and alerting.
    Rely on the most widely deployed observability platform available, built on the proven Elastic Stack (also known as the ELK Stack) to converge silos, delivering unified visibility and actionable insights.

    ScienceLogic is a hybrid IT infrastructure monitoring tool that is designed to help organizations digitally transform their companies by making the management of complex, distributed IT services easier. Using the solution’s discovery techniques, users can find everything they need in a network, gaining visibility across all vendors and technologies that are run in the cloud or data centers. In addition, the ScienceLogic solution can help users seamlessly monitor and manage cloud environments, monitor network resources, manage storage, and monitor app health and performance.

    By implementing ScienceLogic, organizations can:

    • Act on data that is shared across technologies and IT ecosystems in real time.
    • Apply multi-directional integrations to automate workflows at cloud scale.
    • View everything across cloud and distributed architectures.
    • Discover all IT components across physical, virtual, and cloud.
    • Collect, merge, and store a variety of data in a clean, normalized data lake.
    • Contextualize data through relationship mapping and machine learning (ML) for actionable insights.
    • Understand the impact of infrastructure and applications on business service health and risk.
    • Accelerate root cause analysis and execute recommended actions.

    ScienceLogic Features

    ScienceLogic has many valuable key features. Some of the most useful ones include:

    • Visibility
    • Collaboration
    • Monitor internet of things
    • Monitor key applications
    • Storage management
    • Bandwidth monitoring
    • CPU monitoring
    • Virtual machine monitoring
    • Video conference monitoring
    • IP address monitoring
    • Data migration
    • Prevent unused capacity
    • Monitor public and private cloud
    • Monitor services
    • View performance of server environment

    ScienceLogic Benefits

    There are many benefits to implementing ScienceLogic. Some of the biggest advantages the solution offers include:

    • Single console: ScienceLogic allows you to monitor the performance of services, apps, and other resources - whether they are private, public, hybrid, or multi-cloud - from a single console. In addition, the solution makes it possible for you to also contextualize the resources and determine dependencies.
    • Spot unused resources: With ScienceLogic’s platform, you can spot unused resources so you can decommission them or distribute them to avoid congestion.
    • Unified view of interdependencies: ScienceLogic is capable of mapping relationships between infrastructure components and storage environments, giving users a unified view of the interdependencies. This enables users to determine the root causes of problems that come from their storage assets.
    • Easier app health and performance monitoring: ScienceLogic can help you identify components of apps that are vital to business operation, apply the best practice monitoring policies to well-known applications, and track where infrastructures are deployed.
    • Voice, video, and collaboration capabilities: ScienceLogic makes it easy for you to monitor call quality, collaboration stack, and endpoints.

    Reviews from Real Users

    Below are some reviews and helpful feedback written by PeerSpot users currently using the ScienceLogic solution.

    A Senior Infrastructure Architect says, “ScienceLogic can offer both serverless connectivity and agent connectivity. The stability of ScienceLogic is great.”

    A Senior Consultant at a tech services company mentions, “It is very easy to configure because we are using an agent-less version. You can very quickly implement a collector for monitoring device servers.”

    Sample Customers
    PSCU, Entel, VITAS, Mimecast, Barrett Steel, Butterfield Bank
    Kellogg Company, Booz Allen, Cisco, Red Bull, Fidelus, Telstra, Comcast, CSC, Peak 10, HughesNet, Hosting, Datapipe, US Army, Equinix, Rite Aid, Carbonite, Sybase, Carpathia, AT&T, ePlus, Dimension Data, Virtustream, Boeing, Honeywell
    Top Industries
    REVIEWERS
    Computer Software Company27%
    Manufacturing Company18%
    Comms Service Provider9%
    Healthcare Company9%
    VISITORS READING REVIEWS
    Financial Services Firm21%
    Computer Software Company15%
    Manufacturing Company8%
    Healthcare Company6%
    REVIEWERS
    Comms Service Provider42%
    Financial Services Firm17%
    Manufacturing Company8%
    Transportation Company8%
    VISITORS READING REVIEWS
    Computer Software Company19%
    Government10%
    Financial Services Firm9%
    Manufacturing Company8%
    Company Size
    REVIEWERS
    Small Business27%
    Midsize Enterprise18%
    Large Enterprise55%
    VISITORS READING REVIEWS
    Small Business21%
    Midsize Enterprise12%
    Large Enterprise67%
    REVIEWERS
    Small Business28%
    Midsize Enterprise26%
    Large Enterprise47%
    VISITORS READING REVIEWS
    Small Business19%
    Midsize Enterprise10%
    Large Enterprise71%
    Buyer's Guide
    Elastic Observability vs. ScienceLogic
    March 2024
    Find out what your peers are saying about Elastic Observability vs. ScienceLogic and other solutions. Updated: March 2024.
    768,857 professionals have used our research since 2012.

    Elastic Observability is ranked 8th in Cloud Monitoring Software with 22 reviews while ScienceLogic is ranked 12th in Cloud Monitoring Software with 42 reviews. Elastic Observability is rated 7.8, while ScienceLogic is rated 8.6. The top reviewer of Elastic Observability writes "The user interface framework lets us do custom development when needed. ". On the other hand, the top reviewer of ScienceLogic writes "Great integrations, power flow, and good support". Elastic Observability is most compared with Dynatrace, New Relic, AppDynamics, Azure Monitor and Sentry, whereas ScienceLogic is most compared with Dynatrace, LogicMonitor, SolarWinds NPM, Datadog and ServiceNow Discovery. See our Elastic Observability vs. ScienceLogic report.

    See our list of best Cloud Monitoring Software vendors and best IT Infrastructure Monitoring vendors.

    We monitor all Cloud Monitoring Software 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.