Logz.io in Boston offers their enterprise-grade log analytics application, oriented towards providing data security and eliminating the need for capacity management.
$0
1 day of log retention.
ScienceLogic SL1
Score 8.9 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.
N/A
Pricing
Logz.io
ScienceLogic SL1
Editions & Modules
Log Management - Community
$0
1 day of log retention.
Log Management - Pro
$.92
per ingested GB. 7 days retention.
Distributed Tracing - Pro
$5
Per million spans.
Infrastructure Monitoring - Pro
$12
per month per 1000 time-series metrics.
Log Management - Enterprise
Custom
Cloud SIEM - Enterprise
from $1.49
per ingested GB. Price includes Logz.io Log Management
No answers on this topic
Offerings
Pricing Offerings
Logz.io
ScienceLogic SL1
Free Trial
Yes
No
Free/Freemium Version
Yes
No
Premium Consulting/Integration Services
No
No
Entry-level Setup Fee
No setup fee
Required
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.
They offer the same function but logz.io commercial value is lower and can be adopted if company wanted just to meet baseline requirements of iso 27001 security controls. The basic function for centralize logs management and allow the feature of log collection for easy audit, …
Graylog and Microsoft System Center lacks infrastructure management and logging, proper analytics is done only on Logz.io. The customer support is also really great for Logz.io, we are really pleased with their support and timely action. The migration was also easy and took us …
Chosen before any other software for its versatility and speed to immediately stop any failure that may impair the operation of our applications, also their prices are very fair and it is very easy to work with it. On the other hand, other software such as FortiSIEM is very …
Director Of Information Technology & Data Management
Chose Logz.io
Logz.io is more affordable, less work to maintain, and has more features. It was an easy choice. After my last team had to manage their own ELK stack, this was a no brainer. It helps us be focused on our core competencies.
It is more focused in its approach which makes it really good for aggregating and analyzing logs. It has been way more helpful than New Relic APM for us. Data dog is nice but has some different focuses as well.
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.
It is appropriate for companies that focus on developing extremely simple applications. The great visibility it provides makes it ideal to avoid problems that may affect the entire business or company thanks to the fact that it is capable of emitting dozens of alerts in a short time. Sometimes the search behavior becomes slow and inefficient, which can be uncomfortable.
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.
Alerting - Logz.io allows you to set up numerous alerts and define the specific conditions to trigger these alerts, such as the number of occurrences over a specific period of time and severity.
Notifications - The supported integrations with Slack and OpsGenie make it easy to set up alerts to specific groups or users, like those in a particular Slack room or OpsGenie group. This is good to reduce noise and limit initial notifications to those who really need to get it.
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.
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).
Am really exited to use the reports generated especially AWS Cost and Usage Reports function tracks your AWS usage and provides estimated charges associated with your account so that we can reduce the data costs to a greater extend. This integration allows you to ship logs from your AWS Cost and Usage Reports to your Logz.io account.More amazing features awaits you in Logz.io account.
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)
In the past, my team has been able to get in contact with Logz.io quickly and easily to address our questions about the product to see if it could fully meet all our needs. Some of the features we needed at the time were not available, but were on the Logz.io team's roadmap to implement in the future. I found their team to be friendly, professional, and helpful
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.
Graylog and Microsoft System Center lacks infrastructure management and logging, proper analytics is done only on Logz.io. The customer support is also really great for Logz.io, we are really pleased with their support and timely action. The migration was also easy and took us hardly a day to set up and run the solutions.
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.
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.)