# Apache Beam vs Kestra

**Leader by Vioscale score:** Apache Beam

| Attribute | Apache Beam | Kestra |
|---|---|---|
| **Vioscale score** | 70 (35% (low)) | 61.2 (55% (medium)) |
| activity.commits_last_30d | 100 | - |
| adoption.dependent_repos | 1,425 | - |
| adoption.github_stars | 8,650 | - |
| deployment.options | `{"cloud":true,"on_prem":true,"self_hosted":true}` | `{"cloud":true,"on_prem":true,"air_gapped":true,"self_hosted":true}` |
| description.long | Apache Beam enables organizations to process data in both batch and streaming modes through a single unified model, with the flexibility to read from diverse data sources and write to popular data sinks across different deployment environments. | An open-source platform designed for orchestrating complex, long-running workflows across data pipelines, AI systems, and infrastructure operations. Supports multiple languages and deployment models (cloud, self-hosted, air-gapped), with built-in reliability features like retries, backfills, and comprehensive observability. |
| features.capabilities | `{"role":"orchestrator","paradigm":"both","managed_cloud":true,"connector_count":"Multiple I/O connectors for diverse data sources and sinks","self_hosted_oss":true,"distributed_executor":true}` | `{"cdc":false,"role":"orchestrator","lineage":true,"paradigm":"both","iso_27001":false,"dbt_native":true,"data_quality":true,"elt_pushdown":true,"python_first":true,"soc2_type_ii":false,"managed_cloud":true,"connector_count":"1900+","self_hosted_oss":true,"incremental_runs":true,"distributed_executor":true,"builder_ui_architecture":"visual_node_canvas","custom_http_webhook_catch_and_triggering":true,"native_llm_nodes_anthropic_openai_gemini":true,"on_premise_self_hosted_deployment_option":true,"bring_your_own_key_byok_for_llm_inference":true,"web_scraping_and_browser_automation_nodes":false,"sub_workflow_calling_and_reusable_templates":false,"human_in_the_loop_approval_steps_via_slack_email":true,"dynamic_conditional_routing_via_llm_classification":true,"unstructured_document_extraction_pdf_image_to_json":true}` |
| integrations.count | - | 1,900 |
| integrations.list | - | `[{"name":"Ansible"},{"name":"dbt"},{"name":"Spark"},{"name":"Airbyte"},{"name":"Dremio"},{"name":"Arrow Flight SQL"},{"name":"Git"},{"name":"GitHub"},{"name":"GitHub Actions"},{"name":"Kubernetes"},{"name":"Docker"},{"name":"Terraform"},{"name":"Slack"},{"name":"S3"},{"name":"Azure Data Lake Storage"},{"name":"Postgres"},{"name":"JDBC databases"},{"name":"HTTP APIs"},{"name":"Polars"},{"name":"Python"},{"name":"Bash"},{"name":"Node.js"},{"name":"Go"},{"name":"Apache Kafka"},{"name":"Apache Spark"},{"name":"PagerDuty"},{"name":"PostgreSQL"},{"name":"OpenAI"},{"name":"Anthropic"},{"name":"Google Gemini"},{"name":"Perplexity"},{"name":"Google Analytics"},{"name":"Salesforce"},{"name":"Facebook Ads"},{"name":"RabbitMQ"},{"name":"Yahoo Finance"},{"name":"AWS Secrets Manager"},{"name":"HashiCorp Vault"},{"name":"Google Cloud"},{"name":"Google BigQuery"},{"name":"R"},{"name":"Java"},{"name":"Julia"},{"name":"Ruby"},{"name":"Shell"}]` |
| language.primary | Java | - |
| license.spdx | Apache-2.0 | - |
| market.availability | - | `{"primaryMarkets":["US"],"availabilityScope":"global","availableCountries":[],"notAvailableCountries":[]}` |
| platform.support | - | `{"cli":true,"web":true}` |
| pricing | `{"type":"open_source","freeTier":true,"sourceUrl":"https://beam.apache.org","retrievedAt":"2026-08-03T14:24:53.130Z"}` | `{"type":"hybrid","plans":[{"free":true,"name":"Open Source","summary":"Free, open-source","features":["Workflow design & execution","Scheduling & event triggers","Real-time processing","Embedded code editor","Git integration & versioning","Multi-cloud & air-gapped deployment"],"description":"Self-hosted open-source version with core orchestration features","contactSales":false},{"free":false,"name":"Kestra Cloud","summary":"Managed cloud orchestration","features":["Fully managed hosting","Built-in security and governance","Role-based access control","Audit logs","Asset lineage","Secrets management","Production-ready observability"],"description":"Fully managed cloud platform","contactSales":false},{"free":false,"name":"Enterprise","summary":"Enterprise self-hosted with dedicated support","features":["Annual subscription model","Customer success program with SLA","24-hour response time","Audit logs and governance","Multi-tenancy support","Advanced RBAC and secrets management","Dedicated support channel"],"commitment":"annual","description":"Self-hosted enterprise edition with advanced support","contactSales":true}],"summary":"Free open-source tier; managed and self-hosted enterprise options available","currency":"USD","freeTier":true,"sourceUrl":"https://kestra.io/pricing","retrievedAt":"2026-08-21T12:42:20.781Z","billingPeriods":["month","year"]}` |
| pricing.free_tier | yes | yes |
| pricing.model | commercial | freemium |
| pricing.price_level | free | low |
| pricing.transparent | yes | no |
| release.cadence_days | 36 | - |
| release.history | `[{"url":"https://github.com/apache/beam/releases/tag/v2.76.0-RC4","date":"2026-08-11T11:18:23Z","type":"prerelease","version":"v2.76.0-RC4"},{"url":"https://github.com/apache/beam/releases/tag/v2.75.0","date":"2026-07-08T06:42:25Z","type":"stable","version":"v2.75.0"},{"url":"https://github.com/apache/beam/releases/tag/v2.74.0","date":"2026-05-22T16:19:15Z","type":"stable","version":"v2.74.0"},{"url":"https://github.com/apache/beam/releases/tag/v2.73.0","date":"2026-04-17T14:27:20Z","type":"stable","version":"v2.73.0"},{"url":"https://github.com/apache/beam/releases/tag/v2.72.0","date":"2026-03-16T19:01:49Z","type":"stable","version":"v2.72.0"},{"url":"https://github.com/apache/beam/releases/tag/v2.71.0","date":"2026-01-08T14:41:44Z","type":"stable","version":"v2.71.0"},{"url":"https://github.com/apache/beam/releases/tag/v2.70.0","date":"2025-12-09T09:59:26Z","type":"stable","version":"v2.70.0"},{"url":"https://github.com/apache/beam/releases/tag/v2.69.0","date":"2025-10-17T11:50:24Z","type":"stable","version":"v2.69.0"},{"url":"https://github.com/apache/beam/releases/tag/v2.68.0","date":"2025-09-15T14:08:15Z","type":"stable","version":"v2.68.0"},{"url":"https://github.com/apache/beam/releases/tag/v2.67.0","date":"2025-08-01T06:31:59Z","type":"stable","version":"v2.67.0"},{"url":"https://github.com/apache/beam/releases/tag/v2.66.0","date":"2025-06-18T19:05:29Z","type":"stable","version":"v2.66.0"},{"url":"https://github.com/apache/beam/releases/tag/v2.65.0","date":"2025-05-12T19:13:18Z","type":"stable","version":"v2.65.0"},{"url":"https://github.com/apache/beam/releases/tag/v2.64.0","date":"2025-03-31T14:35:58Z","type":"stable","version":"v2.64.0"},{"url":"https://github.com/apache/beam/releases/tag/v2.63.0","date":"2025-02-18T15:31:22Z","type":"stable","version":"v2.63.0"},{"url":"https://github.com/apache/beam/releases/tag/v2.62.0","date":"2025-01-13T15:35:11Z","type":"stable","version":"v2.62.0"},{"url":"https://github.com/apache/beam/releases/tag/v2.61.0","date":"2024-11-14T14:46:46Z","type":"stable","version":"v2.61.0"},{"url":"https://github.com/apache/beam/releases/tag/v2.60.0","date":"2024-10-16T17:47:00Z","type":"stable","version":"v2.60.0"},{"url":"https://github.com/apache/beam/releases/tag/v2.59.0","date":"2024-08-24T17:16:03Z","type":"stable","version":"v2.59.0"},{"url":"https://github.com/apache/beam/releases/tag/v2.58.1","date":"2024-08-16T18:44:00Z","type":"stable","version":"v2.58.1"},{"url":"https://github.com/apache/beam/releases/tag/v2.58.0","date":"2024-08-06T13:49:24Z","type":"stable","version":"v2.58.0"}]` | - |
| security.gdpr | - | yes |
| security.scorecard | 6.4 | - |
| security.soc2 | - | yes |
| security.vulnerabilities | `{"count":0,"source":"https://advisories.ecosyste.ms/api/v1/advisories?ecosystem=go&package_name=github.com%2Fapache%2Fbeam&per_page=100","last_12m":0,"max_severity":null}` | - |

## Capabilities (Data Engineering Tools)

| Capability | Apache Beam | Kestra |
|---|:--:|:--:|
| **Core** |  |  |
| Tool role | Orchestrator | Orchestrator |
| Processing paradigm | Batch + streaming | Batch + streaming |
| **Connectivity** |  |  |
| Connector count | Multiple I/O connectors for diverse data sources and sinks | 1900+ |
| CDC / log-based replication | - | ✗ |
| **Transformation** |  |  |
| In-warehouse transformation (push-down) | - | ✓ |
| dbt-native orchestration | - | ✓ |
| **Deployment** |  |  |
| Self-hosted / open-source available | ✓ | ✓ |
| Managed cloud available | ✓ | ✓ |
| **Governance** |  |  |
| Data lineage / asset catalog | - | ✓ |
| **Authoring** |  |  |
| Python-first authoring | - | ✓ |
| **Execution** |  |  |
| Incremental / partition-aware runs | - | ✓ |
| **Quality** |  |  |
| Built-in data quality / tests | - | ✓ |
| **Scale** |  |  |
| Horizontal scale (distributed executor) | ✓ | ✓ |

*Source: Vioscale. Generated 2026-09-01T14:55:49.490Z. "-" = undocumented, not absent.*