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| Match Graph | 0 | 0 |
| Pricing | Free | Free |
| Starting Price | — | $25/mo |
| Capabilities | 14 decomposed | 15 decomposed |
| Times Matched | 0 | 0 |
Hatchet executes complex multi-step workflows defined as directed acyclic graphs (DAGs) stored in the v1_dag table, with built-in hierarchical concurrency management that enforces resource limits at workflow, step, and action levels. The system uses a state machine approach for task lifecycle management (v1_task table) with automatic persistence, enabling workflows to survive service restarts and coordinate dependencies across distributed workers via gRPC streaming.
Unique: Implements hierarchical concurrency control (workflow-level, step-level, action-level semaphores) with fairness scheduling specifically optimized for LLM rate limiting, rather than generic task queue concurrency. Uses PostgreSQL partitioning for v1_task table to scale task state management without sharding application logic.
vs alternatives: More sophisticated than Celery/RQ for concurrency fairness; lighter than Airflow/Prefect by eliminating scheduler overhead through event-driven task assignment via gRPC streaming.
Hatchet triggers workflow runs in response to external events using a CEL (Common Expression Language) expression matcher stored in v1_filter and v1_match tables. When an event is published to the system, the dispatcher evaluates CEL expressions against event payloads to determine which workflows should be triggered, enabling complex conditional logic without hardcoding trigger rules. This architecture decouples event producers from workflow definitions.
Unique: Uses CEL (Common Expression Language) for event matching instead of regex or hardcoded rules, enabling Turing-complete conditional logic while remaining sandboxed and safe. Stores filter definitions in v1_filter table, allowing triggers to be updated without redeploying workers.
vs alternatives: More expressive than webhook path-based routing; simpler than building custom event processors with Kafka Streams or Flink.
Hatchet scales horizontally by running multiple dispatcher instances, each managing a subset of worker connections based on worker affinity or hash-based sharding. Workers register with a specific dispatcher instance, and the system routes task assignments to the appropriate dispatcher based on worker availability. The architecture supports adding/removing dispatcher instances without downtime, with workers automatically reconnecting to available dispatchers on failure.
Unique: Implements dispatcher sharding with worker affinity-based routing, allowing horizontal scaling of task assignment throughput without central bottleneck. Workers register with specific dispatcher instances and automatically reconnect on failure.
vs alternatives: More scalable than single-dispatcher architecture; simpler than Kafka-based task distribution but requires careful sharding configuration.
Hatchet includes built-in observability through structured logging (api/v1/server/middleware/telemetry/telemetry.go) and metrics export to OpenTelemetry-compatible backends. The system logs task execution events, worker lifecycle events, and API requests with structured fields (tenant_id, workflow_id, task_id) for easy filtering and correlation. Metrics include task latency, success rates, worker utilization, and dispatcher throughput, exported via OpenTelemetry SDK.
Unique: Implements structured logging with correlation IDs (tenant_id, workflow_id, task_id) and OpenTelemetry metrics export, enabling end-to-end tracing across dispatcher, workers, and API. Logs are JSON-formatted for easy parsing by log aggregation platforms.
vs alternatives: More comprehensive than basic logging; simpler than custom instrumentation but requires external observability platform for full value.
Hatchet supports PostgreSQL PGMQ as a built-in message queue alternative to RabbitMQ, eliminating the need for a separate message broker in simpler deployments. PGMQ uses PostgreSQL tables for queue storage, with the same API as RabbitMQ but without external dependencies. This is suitable for deployments where PostgreSQL is already required and operational complexity should be minimized.
Unique: Provides PostgreSQL PGMQ as a built-in message queue alternative to RabbitMQ, eliminating external broker dependencies for simpler deployments. Uses PostgreSQL tables for queue storage with the same API as RabbitMQ.
vs alternatives: Simpler than RabbitMQ for small deployments; lower throughput but fewer operational dependencies.
Hatchet stores workflow definitions with versioning, allowing multiple versions of a workflow to coexist. Each workflow run is bound to a specific workflow version, ensuring that historical runs can be replayed or analyzed against the exact workflow definition that executed them. The system maintains immutable run history in the v1_workflow_run table, preventing accidental modification of historical data.
Unique: Implements workflow versioning with immutable run history, binding each run to a specific workflow version. Enables safe workflow updates without affecting in-flight runs and maintains audit trail of all workflow changes.
vs alternatives: More robust than unversioned workflows; simpler than full workflow state machine versioning in Temporal.
Hatchet's dispatcher service (dispatcher_v1.go) maintains persistent gRPC streaming connections to workers, pushing task assignments in real-time rather than workers polling a queue. The dispatcher monitors worker heartbeats and automatically reassigns tasks from dead workers, implementing a pull-based model where workers declare availability and the dispatcher matches them to queued tasks. This architecture reduces latency and enables fair scheduling across heterogeneous worker pools.
Unique: Uses persistent gRPC streaming for push-based task assignment instead of pull-based polling, with automatic heartbeat-based failure detection and task reassignment. Dispatcher maintains worker registration state and matches tasks to workers based on declared availability, enabling fair scheduling without explicit queue management.
vs alternatives: Lower latency than Redis/RabbitMQ polling-based queues; more sophisticated failure detection than simple timeout-based reassignment.
Hatchet persists task state in the v1_task table with built-in retry logic that automatically re-executes failed tasks using exponential backoff (configurable base and max multiplier). Each task has a timeout enforced at the dispatcher level; if a task exceeds its timeout, the dispatcher marks it as failed and triggers the retry mechanism. The system tracks retry count and can enforce a maximum retry limit, with all retry history persisted for debugging.
Unique: Implements dispatcher-enforced timeouts combined with automatic exponential backoff retry, with full retry history persisted in v1_task table. Decouples retry logic from worker implementation, ensuring consistent behavior across heterogeneous worker pools.
vs alternatives: More sophisticated than simple retry loops in application code; less flexible than Temporal's activity retry policies but simpler to operate.
+6 more capabilities
Automatically inspects tabular data sources (Google Sheets, Airtable, Excel, CSV, SQL databases) to extract column names, infer field types (text, number, date, checkbox, etc.), and create bidirectional data bindings between UI components and source columns. Uses declarative component-to-column mappings that persist schema changes in real-time, enabling components to automatically reflect upstream data structure modifications without manual rebinding.
Unique: Glide's approach combines automatic schema introspection with declarative component binding, eliminating manual field mapping that competitors like Airtable require. The bidirectional sync model means changes to source column structure automatically propagate to UI components without developer intervention, reducing maintenance overhead for non-technical users.
vs alternatives: Faster to initial app than Airtable (which requires manual field configuration) and more flexible than rigid form builders because it adapts to evolving data structures automatically.
Provides 40+ pre-built, data-aware UI components (forms, tables, calendars, charts, buttons, text inputs, dropdowns, file uploads, maps, etc.) that automatically render responsively across mobile and desktop viewports. Components use a declarative binding syntax to connect to spreadsheet columns, with built-in support for computed fields, conditional visibility, and user-specific data filtering. Layout engine uses CSS Grid/Flexbox under the hood to adapt component sizing and positioning based on screen size without requiring manual breakpoint configuration.
Unique: Glide's component library is tightly integrated with data binding — components are not generic UI elements but data-aware objects that automatically sync with spreadsheet columns. This eliminates the disconnect between UI and data that exists in traditional form builders, where developers must manually wire component values to data sources.
vs alternatives: Faster to build than Bubble (which requires manual component-to-data wiring) and more mobile-optimized than Airtable's grid-centric interface, which prioritizes desktop spreadsheet metaphors over mobile-first design.
Glide scores higher at 70/100 vs Hatchet at 58/100.
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Enables multiple team members to edit apps simultaneously with role-based access control. Supports predefined roles (Owner, Editor, Viewer) with different permission levels: Owners can manage team members and publish apps, Editors can modify app design and data, Viewers can only view published apps. Team member limits vary by plan (2 free, 10 business, custom enterprise). Real-time collaboration on app design is not mentioned, suggesting changes may not be synchronized in real-time between editors.
Unique: Glide's team collaboration is built into the platform, meaning team members don't need separate accounts or complex permission configuration — they're invited via email and assigned roles directly in the app. This is more seamless than tools requiring external identity management.
vs alternatives: More integrated than Airtable (which requires separate workspace management) and simpler than GitHub-based collaboration (which requires version control knowledge), though less sophisticated than enterprise platforms with audit logging and approval workflows.
Provides pre-built app templates for common use cases (inventory management, CRM, project management, expense tracking, etc.) that users can clone and customize. Templates include sample data, pre-configured components, and example workflows, reducing time-to-first-app from hours to minutes. Templates are fully editable, allowing users to modify data sources, components, and workflows to match their specific needs. Template library is curated by Glide and updated regularly with new templates.
Unique: Glide's templates are fully functional apps with sample data and workflows, not just empty scaffolds. This allows users to immediately see how components work together and understand app structure before customizing, reducing the learning curve significantly.
vs alternatives: More complete than Airtable's templates (which are mostly empty bases) and more accessible than building from scratch, though less flexible than code-based frameworks where templates can be parameterized and generated programmatically.
Allows workflows to be triggered on a schedule (daily, weekly, monthly, or custom intervals) without manual intervention. Scheduled workflows execute at specified times and can perform batch operations (process pending records, send daily reports, sync data, etc.). Execution time is in UTC, and the exact scheduling mechanism (cron, quartz, custom) is undocumented. Failed scheduled tasks may or may not retry automatically (retry logic undocumented).
Unique: Glide's scheduled workflows are integrated with the workflow engine, meaning scheduled tasks can execute the same complex logic as event-triggered workflows (conditional logic, multi-step actions, API calls). This is more powerful than simple scheduled email tools because scheduled tasks can perform data transformations and cross-system synchronization.
vs alternatives: More integrated than Zapier's schedule trigger (which is limited to simple actions) and more accessible than cron jobs (which require server access and scripting knowledge), though less transparent about execution guarantees and failure handling than enterprise job schedulers.
Offers Glide Tables, a proprietary managed database alternative to external spreadsheets or databases, with automatic scaling and optimization for Glide apps. Glide Tables are stored in Glide's infrastructure and optimized for the data binding and query patterns used by Glide apps. Scaling limits are plan-dependent (25k-100k rows), with separate 'Big Tables' tier for larger datasets (exact scaling limits undocumented). Automatic backups and disaster recovery are mentioned but details are undocumented.
Unique: Glide Tables are optimized specifically for Glide's data binding and query patterns, meaning they're tightly integrated with the app builder and don't require separate database administration. This is more seamless than connecting external databases (which require schema design and optimization knowledge) but less flexible because data is locked into Glide's proprietary format.
vs alternatives: More managed than self-hosted databases (no administration required) and more integrated than external databases (no separate configuration), though less portable than standard databases because data cannot be easily exported or migrated.
Provides basic chart components (bar, line, pie, area charts) that visualize data from connected sources. Charts are configured visually by selecting data columns for axes, values, and grouping. Charts are responsive and adapt to mobile/tablet/desktop. Real-time updates are supported; charts refresh when underlying data changes. No custom chart types or advanced visualization options (3D, animations, etc.) are available.
Unique: Provides basic chart components with automatic real-time updates and responsive design, suitable for simple dashboards — most visual builders (Bubble, FlutterFlow) require chart plugins or custom code
vs alternatives: More integrated than Airtable's chart view because real-time updates are automatic; weaker than BI tools (Tableau, Looker) because no drill-down, filtering, or advanced visualization options
Allows users to query data using natural language (e.g., 'Show me all orders from last month with revenue > $5k') which is converted to structured database queries without SQL knowledge. Also includes AI-powered data extraction from unstructured text (emails, documents, images) to populate spreadsheet columns. Implementation details (LLM model, context window, fine-tuning approach) are undocumented, but the feature appears to use prompt-based query generation with fallback to manual query building if AI fails.
Unique: Glide's natural language query feature bridges the gap between spreadsheet users (who think in English) and database queries (which require SQL). Rather than teaching users SQL, it translates natural language to structured queries, lowering the barrier to data exploration. The data extraction capability extends this to unstructured sources, automating data entry from emails and documents.
vs alternatives: More accessible than Airtable's formula language or traditional SQL, and more integrated than bolt-on AI query tools because it's built directly into the data layer rather than as a separate search interface.
+7 more capabilities