Germain UX vs. ScienceLogic SL1

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Germain UX
Score 8.9 out of 10
N/A
Germain APM is an application performance monitoring tool.N/A
ScienceLogic SL1
Score 8.6 out of 10
Enterprise companies (1,001+ employees)
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.
$7.50
per month per node
Pricing
Germain UXScienceLogic SL1
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
Germain UXScienceLogic SL1
Free Trial
NoNo
Free/Freemium Version
NoNo
Premium Consulting/Integration Services
NoYes
Entry-level Setup FeeNo setup feeRequired
Additional DetailsScienceLogic 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.
More Pricing Information
Features
Germain UXScienceLogic SL1
AIOps Features
Comparison of AIOps Features features of Product A and Product B
Germain UX
-
Ratings
ScienceLogic SL1
6.9
2 Ratings
8% above category average
Monitoring and Alerting00 Ratings9.02 Ratings
Performance Analytics00 Ratings5.22 Ratings
Incident Management00 Ratings8.52 Ratings
Service Desk Integration00 Ratings9.02 Ratings
Root Cause Analysis00 Ratings4.62 Ratings
Capacity Planning Tool00 Ratings7.42 Ratings
Configuration and Change Management00 Ratings4.62 Ratings
Automated Remediation00 Ratings7.92 Ratings
Collaboration and Communication00 Ratings8.52 Ratings
Threat Intelligence00 Ratings4.62 Ratings
Best Alternatives
Germain UXScienceLogic SL1
Small Businesses
SolarWinds Pingdom
SolarWinds Pingdom
Score 7.8 out of 10

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Medium-sized Companies
ThousandEyes
ThousandEyes
Score 8.9 out of 10
IBM Turbonomic
IBM Turbonomic
Score 8.4 out of 10
Enterprises
Nexthink
Nexthink
Score 9.1 out of 10
ignio AIOps
ignio AIOps
Score 8.2 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
Germain UXScienceLogic SL1
Likelihood to Recommend
8.0
(1 ratings)
8.5
(207 ratings)
Likelihood to Renew
-
(0 ratings)
9.1
(19 ratings)
Usability
-
(0 ratings)
9.0
(13 ratings)
Availability
-
(0 ratings)
9.9
(13 ratings)
Performance
-
(0 ratings)
8.0
(13 ratings)
Support Rating
-
(0 ratings)
6.5
(18 ratings)
In-Person Training
-
(0 ratings)
8.3
(5 ratings)
Online Training
-
(0 ratings)
8.6
(5 ratings)
Implementation Rating
-
(0 ratings)
8.1
(78 ratings)
Configurability
-
(0 ratings)
10.0
(7 ratings)
Ease of integration
-
(0 ratings)
7.8
(14 ratings)
Product Scalability
-
(0 ratings)
8.0
(1 ratings)
Vendor post-sale
-
(0 ratings)
8.5
(5 ratings)
Vendor pre-sale
-
(0 ratings)
7.7
(4 ratings)
User Testimonials
Germain UXScienceLogic SL1
Likelihood to Recommend
Germain UX
It is used in our company for monitoring and analysing purpose. It has so many other options like SSH/alerts and click automation is adding so much to this software. Also it has lots of features which is so overwhelming sometimes but useful. It is inappropriate when you try to use plug in scripts in Germain APM.
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ScienceLogic
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.
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Pros
Germain UX
  • Automation
  • Monitoring
  • Analyzing
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ScienceLogic
  • Best overall coverage of montioring different technologies.
  • Easy to use in any environment
  • Customizable being able to generate your own reports, dashboards, DA's, RBA's, etc.
  • Have very good out of the box integrations with other monitoring solutions such as ServiceNow
  • Always improving and regularly releasing new versions and upgrades to the system/DA's.
  • Interactive community
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Cons
Germain UX
  • User experience
  • User guide
  • Documentation
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ScienceLogic
  • More freedom to create custom dashboards as on the previous versions we could do much more
  • The Performance TAB windows is too small and cannot be resized or maximized when looking at reports for "Overview", "File System" and any of those items.
  • There are not enough widgets to create stunning dashboard in AP2
  • The reporting feauture is a very untouched area.
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Likelihood to Renew
Germain UX
No answers on this topic
ScienceLogic
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).
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Usability
Germain UX
No answers on this topic
ScienceLogic
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
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Reliability and Availability
Germain UX
No answers on this topic
ScienceLogic
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.
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Performance
Germain UX
No answers on this topic
ScienceLogic
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)
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Support Rating
Germain UX
No answers on this topic
ScienceLogic
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.
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In-Person Training
Germain UX
No answers on this topic
ScienceLogic
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!
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Online Training
Germain UX
No answers on this topic
ScienceLogic
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.
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Implementation Rating
Germain UX
No answers on this topic
ScienceLogic
Love to use Science logic tool as our first monitoring tool to provide services to the customer. Auto restart feature in Sl1 will allow us to get event when those crucial services has not started after server reboots and also minimize the P1's that we have as a result of that.
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Alternatives Considered
Germain UX
Germain APM and Sauce Labs can be used for different purposes and are well-suited for teams with specific needs. We were looking for a platform that is easy to use, has low barriers to entry, and offers a lot of customization, flexibility, and integration options then after researching we started using the Germain APM software. Because it has so much specifications.
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ScienceLogic
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.
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Scalability
Germain UX
No answers on this topic
ScienceLogic
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.)
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Return on Investment
Germain UX
  • Return of investment
  • Flexibility
  • Integration
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ScienceLogic
  • Once a powerpack is developed and configured for a device for one customer, it is easy to deploy the same powerpack on a second customer estate and configure specifically for that customer without having to reinvent the powerpack. This saves time and therefore money.
  • Once the customer estate tuning is complete, the Operations team have come trust the alerts. This is especially true when transient or self-correcting alerts are automatically cleared without ops team involvement, but a record is still available for audit and debugging purposes. This saves time and therefore money.
  • When setup correctly, it provides good visibility into applications, devices and whole customer estates. This saves time and therefore money when issues arise.
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ScreenShots

ScienceLogic SL1 Screenshots

Screenshot of Application to infrastructure mapping with APM toolsScreenshot of CRM Business Service MapScreenshot of Mobile Banking Business Service Dashboard OverviewScreenshot of Mobile Banking Business Service Dashboard Availability ViewScreenshot of Mobile Banking Business Service Dashboard Anomalies ViewScreenshot of Business Services Leaderboard Dashboard Overview