GitKraken vs Algolia Pricing (2026)

How do these two stack up on price? Here's what each one costs, what you get, and where the value sits.

GitKraken Algolia
Starts at $10/mo Custom
Number of plans 5 4
Free plan
Free trial
Pricing model per-seat hybrid

Community

$0/mo
  • GitKraken Desktop
  • GitLens
  • GitKraken CLI
  • Kepler
  • GitKraken.dev
  • Free 14-day trial of Advanced plan
  • Unlimited cloud Git integrations
  • Only local repos and public remotes
  • Slack and Help Center support
  • Agent Sessions View

Pro

$10/mo
  • Up to 2 seats
  • Works with private repos
  • Cloud issue tracker integrations
  • Conflict Detection
  • Launchpad
  • Shared Cloud Workspaces
  • Credits: Up to 1,000,000/week per user
  • Bring your own key
  • GitKraken Code Review
  • Essential AI features
  • Agent Sessions View for private repos
  • GitKraken MCP

Advanced

$14/mo
  • Up to 10 seats
  • Self-hosted Git integrations
  • Enterprise integrations (incl. self-hosted)
  • Single domain SSO
  • Team Launchpad
  • Automations (preview)
  • Credits: Up to 2,000,000/week per user
  • AI security controls
  • Private AI model providers
  • Advanced workflows
  • Agent Sessions View for private repos

Business

$18/mo
  • Up to 100 seats
  • Multi-domain SSO
  • Internal software directory
  • Customer success manager
  • GitKraken Insights (access limits may apply)
  • Admin Conflict Prevention control
  • Foundations of Git training and certification
  • Credits: Up to 3,000,000/week per user
  • Bring your own key (org Level)
  • Private AI model providers (org level)
  • Enforceable AI controls (org level)
  • Agent Sessions View for private repos

Enterprise

Custom
  • 20+ seats
  • Custom terms & master service agreements
  • Custom security questionnaires
  • Custom contracting
  • Security audit logs
  • 6-hour customer support response time
  • Service SLA
  • Dedicated customer success manager
  • Credits: Up to 4,000,000/week per user
  • All AI models supported
  • Agent Sessions View for private repos

Elevate

Custom
  • Volume-based discounts
  • Custom search requests and records
  • NeuralSearch
  • AI Collections
  • Smart Groups
  • Real-time personalization
  • 99.99% availability
  • Access to SSO and enhanced SLA
  • Access to enterprise-level Support plans
  • Professional services available

Grow Plus

Custom
  • 10K search requests /month included then $1.75 per additional 1K search requests
  • 100K records included then $0.40 per additional 1K records
  • Rules: 10,000/index
  • AI Synonyms
  • AI Ranking
  • Advanced Personalization
  • Query Categorization
  • Collections
  • 90 days analytics retention

Grow

Custom
  • 10K search requests /month included then $0.50 per additional 1K search requests
  • 100K records included then $0.40 per additional 1K records
  • Keyword Search + Browse
  • Query suggestions
  • Rules: 10/index
  • Manual synonyms
  • Data transformation
  • 30 days analytics retention
  • Third party integrations + connectors
  • US, UK, EU hosting locations

Free

$0/mo
  • 10K search requests/month
  • 50K records included
  • 5K recommendation requests/month
  • 5K crawls/month

GitKraken vs Algolia FAQ

Which one is cheaper?
One or both use custom pricing, so it depends on your specific needs.
Can I use either one for free?
Both offer free plans, so you can try each without paying. Start with whichever fits your workflow better and upgrade when you hit the limits.
How do they charge?
Different approach here. GitKraken uses per-seat pricing, while Algolia goes with hybrid. That changes the math depending on your team size and usage.
Which one is a better deal?
Depends on what you need. GitKraken: GitKraken sits mid-pack — pricier than bare-bones Git GUIs but cheaper than full DevOps platforms bundling CI/CD and project management. They're going after teams who want a polished visual Git experience without committing to a heavyweight suite like GitLab or GitHub Enterprise. Algolia: Algolia sits toward the premium end of the search-as-a-service category — it's not competing with cheap open-source alternatives like Elasticsearch on cost, it's competing on speed and developer experience. They're clearly chasing product teams who'll pay more for a polished, low-latency search API rather than budget-conscious teams willing to self-host.

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