Pricing & plans
Whether your team is large or small, we are here to help you get a grip on your software projects
months
Professional
Save up to 14%
€
eur
90
per month
What's included
Time Management
i
Kudos
i
Sprint Insights
i
Service Health Management
i
Single Sign On
i
DORA Metrics
i
Popular option
Enterprise
Save up to 22%
€
eur
125
per month
What's included
Time Management
i
Kudos
i
Sprint Insights
i
Service Health Management
i
Single Sign On
i
DORA Metrics
i
Git Stock and Merge Request Analytics
i
Leaked Keys Finder
i
Enterprise+
Let's talk
Include customisations
Schedule a talkWhat's included
Everything from Enterprise
Custom implementation
Unlimited collaborators/retention
Premium support
Priority access to newest features
Discuss the posibilities with our sales team
Complete features list
Basic
Professional
Enterprise
Enterprise +
Central projects
User projects
Reporting
Inferred Hours using Kanban time
Import hours booked
Export to PDF
WBSO subsidy report
Integrate with Slack
Leaderboard
Hashtag analytics
End of sprint reporting
Team performance analysis
ChatGPT support
Tech Support Bot
Slack coding assistant
Integrate with Jira Software
Integrate with Azure DevOps
Integrate with Gitlab projects
Machine Learning labels
Custom labels
Train model for your organisation
Sprint End reporting
Service Level Indicators (SLI)
Service Level Objectives (SLO)
Service level Alerts
Error Budgets
Error Budgets Planning
Error Budgets Alert
Query Prometheus data sources
Query Datadog data source
Query Dynatrace data source
Query Elasticsearch data source
Monitor Azure Cloud Services
Monitor Google Cloud Services
Monitor AWS Cloud Services
SAML Support
OAuth Support
OIDC Support
Link to Okta Identity
Link to Google Identity
Link to Microsoft Azure AD
Deployment Frequency: Refers to the frequency of successful software releases to production.
Lead Time for Changes: Captures the time between a code change commit and its deployable state.
Mean Time to Recovery: Measures the time between an interruption due to deployment or system failure and full recovery.
Change Failure Rate: Indicates how often a team’s changes or hotfixes lead to failures after the code has been deployed.
Link DORA metrics to Service Health
Scan Github inventory
Scan Gitlab inventory
Scan Bitbucket inventory
Scan Azure Devops inventory
Measure Stock trend
Alert on Stock anomaly
Report on sprint end
Scan Github repositories
Scan Gitlab repositories
Scan Bitbucket repositories
Scan Azure DevOps repositories
Alert new found leaks
Report Found/Solved ratio
Custom data retention
Cross Region replication
Compliance archiving
Data ‘on-premise’
Frequently Asked Questions
What tools can I connect to Agile Analytics?
Jira, Slack, GitLab, Bitbucket, GitHub, Google Cloud Platform, Cloud Watch, AWS, Datadog, Prometheus and Elasticsearch. Don’t see your tools? Get in touch with us and we’ll make it work together!
What does Agile Analytics add to my existing monitoring tools?
Agile Analytics takes from multiple source systems and provides monitoring features that are end-to-end throughout your entire development workflow. From inception to production.
Do I need support or consultancy to use the platform?
Every link with our source systems is automated. Only the Hours feature data is mostly manual, but includes an inferred hours function. Yes, we love AI.
How can I start?
Simply schedule a demo with us, and we’ll get you all set up!
Supercharge your Software Delivery!
Implement DevOps with Agile Analytics
Implement Site Reliability with Agile Analytics
Implement Service Level Objectives with Agile Analytics
Implement DORA Metrics with Agile Analytics
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