ScienceLogic is a system and application monitoring and performance management platform. ScienceLogic collects and aggregates data across and IT ecosystems and contextualizes it for actionable insights with the SL1 product offering.
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Splunk AppDynamics
Score 8.2 out of 10
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AppDynamics is an APM and Mobile APM program, with application mapping and predictive capabilities. These capacities enable automated remediation and code-level diagnostics in real time. It can be deployed on-premise or as a SaaS.
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Pricing
ScienceLogic SL1
Splunk AppDynamics
Editions & Modules
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No answers on this topic
Offerings
Pricing Offerings
ScienceLogic SL1
Splunk AppDynamics
Free Trial
No
Yes
Free/Freemium Version
No
Yes
Premium Consulting/Integration Services
No
No
Entry-level Setup Fee
Required
No setup fee
Additional Details
ScienceLogic SL1 offers four tiers:
SL1 Advanced – Application Health, Automated Troubleshooting and Remediation Workflows
SL1 Base – Infrastructure Monitoring, Topology & Event Correlation
SL1 Premium – AI/ML-driven Analytics, Low-Code Automated Workflow Authoring
SL1 Standard – Infrastructure Monitoring – with Agents, Business Services, Incident Automation, CMDB Synchronization, Behavioral Correlation
To get pricing for each tier, please contact the vendor.
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More Pricing Information
Community Pulse
ScienceLogic SL1
Splunk AppDynamics
Considered Both Products
ScienceLogic SL1
Verified User
Anonymous
Chose ScienceLogic SL1
ScienceLogic SL1 supports large scale of IT Infrastructure devices and vendors. Was the single tool providing multiple functionalities at same time and allowed to remove additional legacy tools used for monitoring. Allowed integration with incident management and CMDB. Allowed …
From a capability perspective they stack up very similar but from a look and feel, ScienceLogic SL1 one is miles behind the curve on all three. We chose SL because we already had elements of the service in place on our infrastructure from our previous MSP so they were a …
I see great potential and infact i do strongly beleive it offers even beter capabilities than the traditional tools out there but again it comes down to how well you have trained us on how to unlock these capabilities. I suggest incentives for techs for providing feedback for …
Geneos is more complicated and 'heavy' to setup. It requires a lot of expertise in setting up. Also the dashboards are not great. ScienceLogic SL1 works well for customer facing dashboards.
Entuity was lacking a lot of custom reporting and also the out of the box automation and RBA was also less. Our customers were mainly looking for devices which are next gen like sdwan which Entuity doesn't support. When it come to ScienceLogic SL1 it will support all sets of …
Galileo analyzes storage arrays and backups more thoroughly, but SL1 is much better for host and network monitoring. SL1 has some storage monitoring features for some storage arrays, but they are not as detailed.
I was not part of the team selecting ScienceLogic SL1. Our goal was to increase event visibility in our server environment. We were using scripting which created many false events. SolarWinds is primarily used in the Network space to monitor network gear.
Agentless product that can integrate easily with other product and also allow us to automate tasks, example closing tickets when events are cleared automatically which user interactions.
Just because Science logic provides much more better enhancement and getting improved everyday. The autonomous integration and overall customization provided by the SL1 Platform is outstanding. In every sections be it in Monitoring or checking system logs and provide the best …
Science logic SL1 is so user friendly and it's really easy to navigate between function. I would recommend Sciene logic SL1 to all of them who are looking for really useful monitoring tool and expecting easy way of managing it.
ScienceLogic SL1 has a greater understanding and maturity on what Infrastructure monitoring needs to be and has to include at a decent price point for what it offers compared to its competitors.
ScienceLogic SL1 comparing with ITM/Netcool monitoring has better price. It's more easy to implement and mange ScienceLogic SL1 then other monitoring tools.
Our organization prefers AppDynamics for its focus on user experience and business metrics which is quite useful for aligning IT performance with organization goal. it is also known for its AI driven insights and monitoring capabilities making it very effective as compares to …
AppDynamics is easy to use, very good monitoring and provides us with detailed information about the performance of the underlying infrastructure, including servers, database,and external services.
AppDynamics is a mature product with probably the simplest of UIs to use which is a huge benefit. I can train users to be proficient in AppDynamics in under an hour. But the product can definitely do some very advanced operations... depending on the need.
It differs from these programs because it integrates seamlessly with a wide range of technologies and platforms and has strong integration capabilities, a crucial factor in adapting to different technology stacks.
It is distinguished from these programs because the platform provides visualizations of application processes, showing the interplay between various parts and services. Understanding the architecture of complicated apps and finding their weak spots is greatly aided by this.
AppDynamics excels at delivering extensive insights into the performance of apps at the code level. It enables developers to zero in on certain lines of code or modules that are causing performance difficulties, making it possible for more effective debugging and optimization. …
It's easy to customize alerts into easy notifications, view everything in a graphical manner, and it's easy to understand. AppDynamics helps us to understand and monitor our network and servers related issues before they cause an impact on our business processes or clients. …
I have used Splunk for a short period. It was difficult to connect with the server and it takes much time to connect with the central server but AppDynamics is quite fast in it. Plus the service handlers for Splunk were a little ignorant their response was usually late in …
Unfortunately, I wasn't in the company when the decision was made, hence can tell just because. What I can tell from my experience, it was not a bad choice and alternatives like New Relic or Datadog provide more or less similar functionality. In most cases the main reasons are …
AppDymanics and Solarwinds was a good products at application and website monitoring. For SQL monitoring AppDymanics was the superior product is it found several queries that were slowing down the server while Solarwinds could not find any issues. The version of Nagios that we …
AppDynamics is more a graphical representation of data, where as other tools like Splunk shows data in a table format using Query structure. AppDynamics helps is in analyzing system performance, but other tools just help to log the data and send alerts upon manual setting. …
AppDynamics falls under Cisco's Full Stack Observability and is now deeplyintegrated with Thousand Eyes, Secure App and Intersight covering addional monitoring layes that no other solution out there does well.
Appropriate if you are setting up a monitoring suite in new Infrastructure Environment. Definitely NOT suited for Migration Projects. ScienceLogic SL1 cannot cater to a lot of monitoring requirements which already would have been configured in old monitoring suite. Plus, limited support for customizations and having to go to "Feature Requests" route makes in extremely complicated.
Platforms for software as a service (SaaS) frequently cater to a large number of users with a variety of needs and usage patterns. Because AppDynamics offers multi-tenant monitoring capabilities to track performance across various customer environments, it is a good choice for SaaS platform monitoring. SaaS providers can maximize resource utilization, proactively detect and resolve performance issues, and provide a dependable and consistent user experience for their clients with AppDynamics.
AppDynamics excels in creating dynamic baselines for application performance. For instance, during periods of varying workloads, it automatically adjusts performance baselines. This adaptive baseline creation helps in accurately detecting anomalies and deviations, ensuring that abnormal behavior is quickly identified and addressed.
The scalability of an organization's apps can be evaluated with the assistance of AppDynamics. It gives insights into how effectively programs can handle increased workloads, helping to proactively address scalability concerns before they impair performance.
Creating powerpacks from scratch for new devices may be straightforward but will rarely be easy. Rewarding when completed, but not easy.
Developer documentation needs a rethink. While the information may be there (it isn't always) it is not easy to find. This is not helped by using different terms for the same things.
A developer console/dashboard for monitoring data collection from powerpacks instances without having to switch webpages or have to monitor multiple webpages.
The initial setup process of AppDynamics could be more user-friendly. Some users find the configuration and onboarding to be a bit complex. Improving the onboarding experience could make it more accessible, especially for smaller teams or those with limited resources.
It can be difficult for some users to get AppDynamics up and running for the first time. For new users, the platform's usability might be improved by streamlining the onboarding process or providing more user-friendly setup wizards.
We migrated away from our 20-year-old homegrown solution and have no back-tracking capability. ScienceLogic is demonstrating new capabilities that we would not have been able to do on our own using our legacy system. We understand the capabilities of competitors based on our bake-off selection where ScienceLogic won on capabilities and future near-term potential (expandability, platform growth). We know that those competitors are not really close to where we have been able to push ScienceLogic (as a partner).
We use ScienceLogic SL1 in our organization to serve effective monitoring solutions to our external customers. Our customers depend upon us for critical events/alerts related to their IT infrastructure gears and using SL1, we're able to provide them with a proactive monitoring solution that resolves an issue before an impact is noticed by the customer. There are very few monitoring solutions that can cater to a variety of Cloud platforms like Public Cloud (AWS, Azure) and private cloud simultaneously and SL1 addresses this business problem very well
Actually, I would like to give it a score of 10 out of 10, but taking into account certain factors such as: the cost of the annual licence, the complexity of installation and configuration, the blurring of setting Splunk AppDynamics over the cloud and especially OpenShift since we use it as a container platform. So, 8 out of 10 looks perfect for it
Science Logic SL1 provides the option of Distributed deployment where multiple instances of each appliance can be deployed to manage the load and availability. SL1 provides a High Availability feature for Database Servers and Data Collection. If one of the Data Collectors in the collector group fails, it will automatically redistribute the devices from the failed Data Collector among the other Data Collectors in the Collector Group. The high availability feature for the Database server ensures that SL1 performs failover automatically to another server without causing the outage to the application.
The performance is entirely dependent on the complexity of the environment/network being used to host the platform. Outside of those factors, the platform runs very efficiently and quickly out of the box. We have integrations with other platforms and neither seem to take a hit from our moderate API usage. Any issues with performance would be experienced by choices made in infrastructure or complexity of things built by the customer to display in the GUI (overly complicated and cluttered dashboards for example)
So far, it's good as part of my overall experience, except for a couple of use cases. The support team is well knowledgeable, has technical sound, and is efficient. When support escalates to engineering, the issue gets stuck and takes months to resolve.
AppDynamics has its own community site that includes forums and a knowledge base. On the forums, you can converse with other members of the community and ask technical questions as you have them. Though this forum isn’t filled with people there are active members for you to gain some valuable insights.
When I joined our company, I did not know about the in person training at firts. Logging onto the SL University, I realised that there were different sessions being held at different times throughout the year. The training itself was good, but being in a different time zone, made it difficult to attend, but the sessions that I attended was great!
There are a lot of educational materials and courses on the SL1 training site (Litmos university). However the recording quality is sometimes not very good - screen resolution is low. There is a lack of professional rather than user-oriented documents and there are mistakes in documentation and education is not well structured.
Along with the purchase of the solution, we purchased a statement of work with their Professional Services organization to meet our outcomes and fill our critical gaps. The PS team was outstanding, very professional and allowed us to screen share while they built our integrations. In many cases they would teach us how they did certain things within the platform.
We evaluated a couple of other competitive products in the IT infrastructure observability domain; however, we found that ScienceLogic has a slight edge over the others for us. We encountered a cost barrier, as managing too many customers with an MSP setup was a costly affair, and several solutions did not offer an MSP solution at that time.
It is distinguished from these programs because the platform provides visualizations of application processes, showing the interplay between various parts and services. Understanding the architecture of complicated apps and finding their weak spots is greatly aided by this.
Our deployment model is vastly different from product expectations. Our global / internal monitoring foot print is 8 production stacks in dual data centers with 50% collection capacity allocated to each data center with minimal numbers of collection groups. General Collection is our default collection group. Special Collection is for monitoring our ASA and other hardware that cannot be polled by a large number of IP addresses, so this collection group is usually 2 collectors). Because most of our stacks are in different physical data centers, we cannot use the provided HA solution. We have to use the DR solution (DRBD + CNAMEs). We routinely test power in our data centers (yearly). Because we have to use DR, we have a hand-touch to flip nodes and change the DNS CNAME half of the times when there is an outage (by design). When the outage is planned, we do this ahead of the outage so that we don't care that the Secondary has dropped away from the Primary. Hopefully, we'll be able to find a way to meet our constraints and improve our resiliency and reduce our hand-touch in future releases. For now, this works for us and our complexity. (I hear that the HA option is sweet. I just can't consume that.)
We can optimize infrastructure utilization and lower cloud or server costs by locating and removing resource-intensive bottlenecks with the aid of AppDynamics.
Building trust with external stakeholders and encouraging accountability within our organization, AppDynamics' comprehensive reporting and monitoring capabilities offer transparency into the health of applications.
We can find bugs earlier and improve development workflows with the help of AppDynamics' real-time insights and code-level profiling.
