ACCELQ vs. ignio AIOps

ACCELQ can support multiple technologies such as web, mobile, API, and mainframe. It’s also suited for SAAS solutions such as Salesforce and addresses challenges such as dynamic HTML. It’s easy to set up, and onboarding is easy, and overall lead time is comparatively less. The overall execution results are captured with screenshots, and it’s easy to debug errors. It has integrations with leading cloud-based desktop and mobile farm services such as Saucelabs, browser stack, etc.; ACCELQ is not developer friendly, and hence the overall adoption for a continuous integration scenario is very limited. If you are using a different test management solution, the integration between accelQ and that tool needs ti to be built and hence requires additional development effort, and it’s buggy too.

Incentivized

-Autonomous alert and incident management related to infrastructure, NW, and applications. -Excellent fit to handle CPU, memory, and disk space alert management - proactive and predictive. -Several automation features (self-healing) - CPU/Memory modifications; disk extensions; patch management -Provisioning of user access and infrastructure servers, etc.

• Scriptless and hence coding is easy.
• Maintenance of the scripts are easy.
• Learning curve is small.

Incentivized

• ignio handles 100+ use cases covering the entire organization including applications and infrastructure.
• Centralize the dashboard to view and executed the health of systems in our environment.
• It handles CA services desk Incidents and requests. Using automated tools with power shell scripts.
• ignio event management helps the organization to manage the alerts well and make an informed decision.

• Visual regression features
• Test generation from UI and UX platforms like Figma
• Manual test tools can be more integrated with AutoPilot

Incentivized

• There is a lot more the desktop tool can do. For example, we need to apply an upgrade to get the tool to talk to our infrastructure while employees are working from home. The tool was initially installed with the assumption that the desktops would be in UserLand. Instead after COVID-19 the desktop/laptops have been used for over a year on people's home networks. As of right now, we have to sync when the devices are connected to VPN. Moving forward with the upgrade, we will be getting this data over TLS when they are connected to the untrusted networks.
• The concept of ignio AlOps requires OCM efforts within most operational teams. This isn't necessarily the fault of the tool itself, but when implementing ignio, or any AIOps tool, the team will get a lot of pushback as an outside team is centralizing the operational improvements. The tool should have a centralized intake process that will allow the collection, ranking, and management of automation opportunities. ignio AlOps should then simulate the proposed efficiencies from implementing something within the backlog. Right now a lot of local teams are having a hard time getting on the same page as the enterprise teams, and a common methodology for prioritizing (even if overly simplistic) would go a long way to enterprise planning.
• These tools are very new and things get added to them all the time. There should be a way for the product's stakeholders and process owners to understand the additional value ignio AlOps is gaining over time.

It is a very good product and it helps our organization.

Features like low code, API automation, auto pilot and free account creations, case studies are better suited for my business into IOT space, some of the enterprise automation features are truly game changer in productivity for my team. Database migration was supported seamlessly while opted for ACCELQ solutions.

Incentivized

ignio AIOps version upgrades were a heavy lift. Having to learn a new language versus an industry standard language took time. More consideration on overall internal long-term support needs to be determined.

Incentivized

It was up than Dynatrace

Incentivized

Looks good at the moment

We have built a healthy relationship with the vendor support team throughout the implementation phase, all incidents raised were resolved within the SLA without a fail

Implementation team has provided necessary training & enablement.

Online training materials are shared by the implementation team and it was good.

I am happy with the way team has implemented and shared the product for our organization. However, would like to see it get extended to the other line of business too.

API integration Autopilot AI interactions Logic analyzer features PDF and email automation features

Incentivized

We generally use Ignio AIOps. It is flexible and works well for AIOPS.

Quite Scalable!

• 50% improvement in test efficiency of a team member
• 40% overall cost cutting for the project
• 40% team members are being AI focused tool users

Incentivized

• ignio has had a positive impact on our organization by saving 7,000+ hours within Operations and automatically resolving 84% of our service requests.
• ignio has increased our alert coverage by over 60%.