ScienceLogic provides a unified IT Operations platform designed to manage operational workflows using high-fidelity Telemetry Data and explainable automation.
The ScienceLogic AI Platform is deployable across On-Premises, Cloud, and Hybrid Environments. The platform consolidates monitoring tools to provide Observability and enables engineers to automate manual processes using Machine Learning capabilities.
The platform utilizes automation for Closed-Loop Remediation and provides insights…
N/A
SolarWinds Observability
Score 7.9 out of 10
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SolarWinds® Hybrid Cloud Observability aims to provide a comprehensive, integrated, and full-stack solution designed to optimize performance, improve availability, and reduce remediation time by correlating data from across the IT ecosystem, including networks, servers, applications, databases, and more.
$5
per month per node
Pricing
ScienceLogic AI Platform
SolarWinds Observability
Editions & Modules
No answers on this topic
Essentials
$5
per month per node
Advanced
$9
per month per node
Offerings
Pricing Offerings
ScienceLogic AI Platform
SolarWinds Observability
Free Trial
No
Yes
Free/Freemium Version
No
No
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
Pricing is set per node, per month, and billing is annual. The prices listed are base prices that could increase depending on your environment. Please speak to a representative to get a quote.
real-time data monitoring, scalability of a complex environment is the key feature. For any new requirement, powerpack installation is very easy & handful.
Both of the tools we used before were with agents, so there was a need to configure the agent initially, before it could be used. Sometimes, there were issues with the service or the configuration of the agent, and deep troubleshooting was necessary to find the mistake in …
Restorepoint is a great tool and perfectly integrated with ScienceLogic SL1. However, PowerFlow implementation is not smooth and don't have enough resources to help build out the features necessary for a successful implementation. Also, documentation is not well written.
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 …
As a fresher, this is my first organization, and they use SL1. So, I don’t have more knowledge of other tools. But I do know Grafana, which is predominantly used for dashboards. I think compared to that, the SL1 dashboard gives more details about devices. So, I feel SL1 would …
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 …
- SolarWinds Hybrid Cloud Observability is less expensive - SolarWinds Hybrid Cloud Observability does more right out of the box - Splunk is more highly configurable
The primary motivator to disqualify PRTG was the limit of nodes. Above 10,000 nodes are required, and an additional separate primary polling host. This would have meant managing two separate instances and was not an acceptable or viable approach. The sales support and …
Solarwinds has the best overlap of the two others I've mentioned - the other two tools (datadog and dynatrace) are great in their own way but Solarwinds is just good at everything; if I had to pick one tool of the above, it would be Solarwinds for the compatibility and ease of …
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.
For mid-market and larger, HCO provides a highly available single pane of glass. The user and group management provides a granular ability to deploy to the various areas of the support and engineering teams. Integration to ITSM platforms ensures that information from the platform flows in real time to the right people.
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.
Please fix the time zones issue. Events are in UTC, Charts in the user's Local Time, Alerts come in through with Main Server timestamp - it's all over the place & it's been like that for so long. We are a large corp, the teams span time zones and trying to work with teams across the globe is made so difficult by this.
The inability to ingest the tags from AWS Cloud watch and the countless posts / feature requests on thwack complaining about this that just get ignored. It's such a basic feature of Cloud & I don't want to have to own a different product to use such an fundamental part of cloud.
Maintenance Windows - why can we not set a reoccurring window from the web ui in 2022?
SAM - Manage applications, why is there no search bar to filter through applications. When you scale out to enterprise size this is so annoying trying to guess which page to land on to find the application / device I'm looking for.
Half baked features being released - Log Analyzer shipped with no resources for the node details page. The Free version from 2016 had more available in it.
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
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.
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.
Both of the tools we used before were with agents, so there was a need to configure the agent initially, before it could be used. Sometimes, there were issues with the service or the configuration of the agent, and deep troubleshooting was necessary to find the mistake in configuration before the communication with the endpoint was restored. Once the tools were running, they enabled very smooth reporting of what is running and what not, and the performance impact was lover than with WINRM monitoring.
Solarwinds has the best overlap of the two others I've mentioned - the other two tools (Datadog and Dynatrace) are great in their own way but Solarwinds is just good at everything; if I had to pick one tool of the above, it would be Solarwinds for the compatibility and ease of use, the other tools are more focused on being great at certain things while Solarwinds is the jack of all trades.
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.)