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No-code and AI builder for internal tools, admin panels, CRMs and customer portals on top of your existing databases.
Trae AI-powered IDE for developer collaboration; notable ByteDance-backed dev product.
Atlassian's Git repository hosting for teams with built-in CI/CD pipelines and tight Jira integration for code review and deployment.
Automated AWS usage optimization platform giving engineers 150+ recommendations across 50+ services, averaging ~10% savings.
Cloud-agnostic AI/ML workflow orchestrator that runs pipelines inside a customer's own infrastructure for compute-heavy teams.
No public pricing
No public pricing
No public pricing
Free trial available
Free trial available
- ✦Drag-and-drop visual app builder
- ✦Auto-generated admin panels from databases
- ✦External data sync into a single source of truth
- ✦Workflow automation with 5,000+ integrations
- ✦Granular permissions and sharing
- ✦AI apps and AI agent builder
- ✦Self-hosted option
- ✦AI Agents
- ✦Tool Integration
- ✦Context Awareness
- ✦Smart Autocompletion
- ✦Local Data Storage
- ✦Secure Data Access
- ✦Git repository hosting
- ✦Bitbucket Pipelines CI/CD
- ✦Pull requests and code review
- ✦Native Jira integration
- ✦Branch permissions and access controls
- ✦IP allowlisting and security features
- ✦150+ recommendations across 50+ AWS services
- ✦Zombie and unused resource cleanup
- ✦Over-provisioned rightsizing
- ✦Idle-resource scheduler
- ✦SpotBot for ECS Fargate spot/on-demand switching
- ✦AWS console extension with Slack/Teams alerts
- ✦Python-native dynamic workflow authoring
- ✦Automatic failure recovery, caching, and versioning
- ✦Zero Trust architecture keeping data inside customer's cloud
- ✦Real-time inference and agentic-AI workflow support
- ✦High-throughput scaling (tens of thousands of actions per run)
- ✦Local development environment matching production behavior
- →Internal tools for support, ops and sales
- →Custom CRMs and admin panels
- →Customer and partner portals
- →Approval and dashboard apps
- →Automating coding tasks with AI agents
- →Integrating external tools for enhanced functionality
- →Improving code accuracy with context-aware suggestions
- →Boosting coding speed with smart autocompletion
- →Building RAG apps without writing code
- →Source code management
- →CI/CD automation
- →Team code review
- →DevOps for Jira-based teams
- →Cutting AWS spend automatically
- →Rightsizing over-provisioned resources
- →Scheduling idle resources off-hours
- →Giving DevOps in-console cost recommendations
- →ML teams orchestrating training and inference pipelines at scale
- →Biotech/geospatial companies needing GPU-heavy pipeline orchestration
- →Enterprises migrating off Airflow for ML workflow management
- →Teams requiring workflows that never send data outside their own cloud