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 IT Service Intelligence (ITSI)
Score 10.0 out of 10
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Splunk supports IT operations analytics with the Splunk IT Service Intelligence premium offering, a software application available to subscribers to Splunk Cloud or Splunk Enterprise log analytics and SIEM platforms.
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Pricing
ScienceLogic SL1
Splunk IT Service Intelligence (ITSI)
Editions & Modules
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Offerings
Pricing Offerings
ScienceLogic SL1
Splunk IT Service Intelligence (ITSI)
Free Trial
No
No
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
To get pricing for each tier, please contact the vendor.
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More Pricing Information
Community Pulse
ScienceLogic SL1
Splunk IT Service Intelligence (ITSI)
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.
We selected ITSI as it was easy to use with the existing Splunk ecosystem we had but also has a number of out-of-the-box configurations/dashboards/services and blueprints. This made it easy to get started and provide value back to stakeholders quickly.
If you've used any Splunk product then you know they have a good reputation for creating smart and user-friendly tools. Splunk IT Essentials is no different and I have had nothing but positive experiences with it. It was a straightforward integration with our enterprise …
Integration is much easier with Splunk. The dashboards and content packs are given, with minor work they can be customized for different integrations. Splunk has a big community of support. We would spend much longer time and money using other tools given that in eight months' …
Our company uses quite a few technologies to sort, filter, and store data. My team uses only a few of these technologies however we just started using Splunk. The more we see what it can do the more I can see us phasing out these other technologies and only using Splunk. The …
Splunk ITSI provides a holistic methodology for collecting and utilizing telemetry data that most other "basic" monitoring technologies and products in this space do not. By allowing us to model our ecosystem's components and services, Splunk ITSI observes and reports at a …
ITSI proved to be better in terms of ease of deployment, time to value, ease of adaption by operations team. Administration overhead is minimal & integrations with third-party tools are simple because of availability of free add-ons to talk to any …
It's a well-rounded solution spanning across various paradigms such log collection and aggregation. Correlation and event monitoring. Use of machine learning to automatically adjust thresholds.
There are many products in the market like ServiceNow, MoogSoft and BigPanda which have similar capabilities as of Splunk however Splunk is a mature product and they keep evolving its benefits and capabilities. Since Splunk came into the market with its unique capabilities much …
Splunk has raised itself as a platform not just as a tool unlike other products in the market. If I talk about MoogSoft it also has similar capabilities but Splunk ITSI has more visibility and its GUI is making a different impact on the users. ServiceNow and Splunk are equally …
They are both great applications. Splunk was the application the development teams were already familiar with which is why they chose to move forward with it.
Other products like Dynatrace and Stack State require there to be an agent installed on all hosts to provide topological views. [Splunk IT Service Intelligence] (ITSI) allows the user to either manually define the topology, or setup a job to do it automatically based APIs, etc. …
No tool has the power that the combination of Splunk and ITSI has. You can certainly cover all that ITSI does by combining several tools with custom developed integrations, but the out of the box functionality of Splunk leveraged with ITSI is unparalleled.
ITSI stands alone as a tool for converting Splunk data into constantly monitored and organized KPIs. The alternative is manual creation and management of Splunk Enterprise alerts. That solution is not scalable to thousands of Splunk alerts. If you are building a monitoring …
We selected ITSI to replace TrueSight as a legacy manager of managers. Used in tandem with the perks of core Splunk and access to logs, metrics, and performance data all in one location, it allows teams to pivot to keeping an eye on rolled-up service health and expose that to …
I have not used any other product like Splunk IT Service Intelligence. The Splunk IT Service Intelligence can be applied across all the information you have in your Splunk environment. You can correlate the events with Splunk IT Service Intelligence and use it as an APM tool or …
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.
[Splunk IT Service Intelligence (ITSI)] is well suited when you have a system that you want to visualize, and then layer in information from many different sources. This will allows ITSI to intelligently create alerts based on the system as a whole vs the individual components. In some cases, a simple splunk dashboard would really suffice over using ITSI. Teams deploying ITSI should really understand the use cases and consider using simple dashboards where they make sense, and use ITSI for topological views.
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 terminology takes some getting used to: Aggregation policies, notable events, correlation searches, glass tables. If you're not familiar with ITSI, these terms can be a bit overwhelming and steepens the learning curve.
We have had some technical issues with the underlying support when used in a multisite cluster. We've had to build in several points of redundancy to make sure it works as expected.
I'd like to see additional types of notable events, like informational events that come in for when an incident is created or when an alert is acknowledged so all of those action steps can be viewed on the episode timeline without affecting the count of events.
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 have replaced our monitoring platform with Splunk & ITSI, and with the success, it's seen at our organization thus far we would be hard-pressed to pivot to another tool. Frankly, our business partners and application teams love Splunk & ITSI.
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
Splunk IT Service Intelligence (ITSI) is a platform with extended functionality and provides various functionalities which can be utilized to improve the efficiency and accuracy in analyzing the data and detecting the attacks.
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.
During POC, pre-planning, and implementation, we have had interactions with numerous folks at Splunk. Everyone from sales & engineering to markets analysts to specific IT component SMEs, and a small professional services engagement to get started. They have all been exceptionally helpful and go above and beyond the call of duty. They actively reach out to ensure success is being realized and find ways to help proactively, instead of having to simply open support cases with the vendor.
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.
Splunk has raised itself as a platform not just as a tool unlike other products in the market. If I talk about Moogsoft it also has similar capabilities but Splunk ITSI has more visibility and its GUI is making a different impact on the users. ServiceNow and Splunk are equally capable products however Splunk seems to have more tech-savvy people tools than ServiceNow.
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.)
