ScienceLogic vs VMware Tanzu Observability by Wavefront comparison

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Comparison Buyer's Guide
Executive Summary

We performed a comparison between ScienceLogic and VMware Tanzu Observability by Wavefront based on real PeerSpot user reviews.

Find out in this report how the two IT Infrastructure Monitoring solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.
To learn more, read our detailed ScienceLogic vs. VMware Tanzu Observability by Wavefront Report (Updated: November 2022).
655,465 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
"The power flow is great.""I'm satisfied with ScienceLogicfor for what they can offer today because they can offer both serverless connectivity and agent connectivity.""It has good monitoring capabilities across cloud environments, data centers, and hybrid environments.""When it comes to features, the power pack is the most valuable.""Provides agentless monitoring so there's no need to install the agent on each server.""The best feature is the highly flexible graphs.""It is simple.""The most valuable features of ScienceLogic are AI and machine learning."

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"For us, the ease of deployment in combination with TMZ was the most important part because we don't have to manually deploy a complex monitoring solution. We can more or less do that with the click of a button, and we are not dependent on the developers to provide us with all the necessary features and functions to make that work. We can just deploy it on a workload cluster and monitor at least a good part of the workload. If we want to go into detail, we clearly need to make changes, but for a good part of application monitoring, it gives us good insights.""Tanzu itself, integrated with multiple solutions, bestows support and security upon a container platform, especially when it comes to managing open-source container platforms such as Kubernetes.""The solution is great for virtualization and preparing the infrastructure in Tanzu to test products. It's very fast and has good visibility."

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Cons
"ScienceLogic could improve the implementation, it could be made easier.""We want to understand: how does the back end work? What if some problem occurs? What we can do? They need to provide more information.""They need a little more self-service.""There are often bugs in new releases.""From a performance perspective, it needs to improve a lot.""It was challenging onboarding users.""ScienceLogic does not have application monitoring. We definitely need something integrated within ScienceLogic to monitor applications so that we don't have to rely on monitoring tools to monitor other applications. At least the ones that are market leaders, such as SAP, Oracle, and others."

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"The documentation and integration with Kubernetes could be improved.""Its billing model is consumption-based. I understand the consumption-based model, but it is not necessarily easy to estimate and guess how many points or how much we are going to consume on a specific application up until we get to that point. So, for us, it would be helpful to have more insights or predictability into what we can expect from a cost perspective if we are starting to use specific features. This can potentially also drive our consumption a bit more.""The main problem I have is that the license cost is very high."

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Pricing and Cost Advice
  • "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."
  • "The license of ScienceLogic is based on how many endpoints are used. The number of monitoring points you want to have."
  • More ScienceLogic Pricing and Cost Advice →

  • "I don't have the details. In our case, there is a mixture in place. We have production usage, and we are also doing training for VMware. So, we also have a training instance. It is worth the money you would spend on it. That's because if you were to build all of this yourself by using some of the open source tools, then you would need a lot of time."
  • "The licensing costs are very high, particularly when you consider that we have to purchase a level 1 license for every integration, such as the load balancer, HAProxy, and the MSSP. And if you want to use vSAN, that's another license. Then, of course, Tanzu Observability has its own separate license."
  • "I would rate the pricing as three out of five."
  • More VMware Tanzu Observability by Wavefront Pricing and Cost Advice →

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    Questions from the Community
    Top Answer: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.
    Top Answer: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.
    Top Answer:It doesn't have the complete application-level topology. It could have service topology and business service monitoring. I would like to see how business service monitoring will function with… more »
    Top Answer:For us, the ease of deployment in combination with TMZ was the most important part because we don't have to manually deploy a complex monitoring solution. We can more or less do that with the click of… more »
    Top Answer:I don't have the details. In our case, there is a mixture in place. We have production usage, and we are also doing training for VMware. So, we also have a training instance. It is worth the money you… more »
    Top Answer:Its billing model is consumption-based. I understand the consumption-based model, but it is not necessarily easy to estimate and guess how many points or how much we are going to consume on a specific… more »
    Ranking
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    4,605
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    8
    Average Words per Review
    1,184
    Rating
    8.3
    Views
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    8.7
    Comparisons
    Also Known As
    Wavefront, Wavefront by VMware, VMware Tanzu Observability
    Learn More
    Overview

    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.”

    VMware Tanzu Observability is a high-performance streaming analytics platform. It enables observability for metrics, counters, histograms, and traces/spans. Because it scales to very large data ingestion rates and query loads, the product is unique in its field. You can collect data from a variety of services and sources across your entire application stack, as well as examine details for earlier ingested data. After sending your data to your Wavefront instance, you may examine your data on custom dashboards, receive alerts on problem values, and do anomaly detection and forecasting.

    VMware Tanzu Observability can support over 200 integrations, including cloud providers, DevOps tools, big data, and others. You can utilize the platform’s sophisticated Graphical User Interface to connect with the Wavefront service, which includes several pre-built dashboards, charts, and alerts. SDKs, the Wavefront REST API, and CLIs are also accessible on our Github website. Additionally, there are tight integrations with Spring Boot, Kubernetes, and Tanzu Mission Control.

    VMware Tanzu Observability Features

    VMware Tanzu Observability has many valuable key features. Some of the most useful ones include:

    • Analytics: Advanced query language helps you save time and money.
    • API: API with a lot of flexibility for effective alerting and visualization.
    • Architecture: Enterprise-scale performance in real time.
    • Dashboards and charts: Use dashboards and charts to visualize the data. Filters and functions can help you find exactly what you're looking for. Use aggregation functions like sum() or average to combine multiple time series. Use dashboard variables to adjust the focus of a dashboard or combine functions to show or hide some of the information. A variable, for example, could be used to display the production or development environment. Choose from a variety of chart types (line plot, point plot, table, etc.)
    • Alerts: You can build alerts directly from charts and customize them to detect problems. The solution will send you alert notifications with details and a chart graphic if you've set up an alert with customized information.
    • Queries: You can extract exactly the information you need using the Wavefront query language (WQL). You can personalize your charts with filters and functions so that the signal stands out among the noise.
    • Distributed Tracing tool: Use Distributed Tracing to interact with a service map, inspect traces and spans, and drill down into problematic areas.
    • Various setup methods:

      • Cloud: Perform the bare minimum of configuration to allow the Wavefront service to access data in your cloud environment. As a result, data from cloud services can be directly ingested.

      • Integrations: VMware Tanzu Observability supports more than 200 integrations with different data sources. You just need to change a single configuration file and you're ready to go.

      • Start from where you are: If your environment already has a metrics infrastructure, you can pre-process the data to match the Wavefront Data Format and transmit it to the Wavefront proxy directly.

      • Direct Ingestion: Direct ingestion is the best option in some circumstances.
      • Histograms: Wavefront histograms may be the best answer for high-velocity measures.
      • App monitoring with distributed tracing: For traces, the product supports Jaeger and Zipkin, as well as any OpenTracing-instrumented applications. You can also use one of our SDKs to transmit custom traces. The Application Map GUI makes it simple to explore trace data, RED metrics, and other metrics.
    Offer
    Learn more about ScienceLogic
    Learn more about VMware Tanzu Observability by Wavefront
    Sample Customers
    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
    Box, Intuit, Workday, Groupon, British Gas, SpaceApe, Marketo, DoordDash, Lyft
    Top Industries
    REVIEWERS
    Comms Service Provider44%
    Manufacturing Company11%
    Transportation Company11%
    Media Company11%
    VISITORS READING REVIEWS
    Computer Software Company25%
    Government11%
    Comms Service Provider10%
    Financial Services Firm7%
    VISITORS READING REVIEWS
    Computer Software Company23%
    Comms Service Provider16%
    Financial Services Firm10%
    Government7%
    Company Size
    REVIEWERS
    Small Business32%
    Midsize Enterprise29%
    Large Enterprise39%
    VISITORS READING REVIEWS
    Small Business19%
    Midsize Enterprise11%
    Large Enterprise71%
    REVIEWERS
    Small Business22%
    Midsize Enterprise11%
    Large Enterprise67%
    VISITORS READING REVIEWS
    Small Business20%
    Midsize Enterprise13%
    Large Enterprise67%
    Buyer's Guide
    ScienceLogic vs. VMware Tanzu Observability by Wavefront
    November 2022
    Find out what your peers are saying about ScienceLogic vs. VMware Tanzu Observability by Wavefront and other solutions. Updated: November 2022.
    655,465 professionals have used our research since 2012.

    ScienceLogic is ranked 16th in IT Infrastructure Monitoring with 8 reviews while VMware Tanzu Observability by Wavefront is ranked 26th in IT Infrastructure Monitoring with 3 reviews. ScienceLogic is rated 8.2, while VMware Tanzu Observability by Wavefront is rated 8.6. The top reviewer of ScienceLogic writes "Granular discovery, good integration, with responsive and available support". On the other hand, the top reviewer of VMware Tanzu Observability by Wavefront writes "Easy to deploy, worth the money, and helpful for uptime monitoring and performance insights". ScienceLogic is most compared with Dynatrace, LogicMonitor, SolarWinds NPM, Datadog and Splunk, whereas VMware Tanzu Observability by Wavefront is most compared with Datadog, Dynatrace, Splunk, vRealize Network Insight and AppDynamics. See our ScienceLogic vs. VMware Tanzu Observability by Wavefront report.

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

    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.