# Apache Beam vs Rivery

**Leader by vioscaleAI score:** Rivery

| Attribute | Apache Beam | Rivery |
|---|---|---|
| **vioscaleAI score** | 53.7 (42% (low)) | 78.6 (74% (medium)) |
| activity.commits_last_30d | 100 | - |
| adoption.dependent_repos | 1,425 | - |
| adoption.github_stars | 8,684 | - |
| content.faq | `[{"answer":"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. It is indexed under Data Engineering Tools.","source":"https://beam.apache.org","question":"What is Apache Beam?","confidence":0.6},{"answer":"Apache Beam is open source, so it can be self-hosted and used at no licence cost. It is released under the Apache-2.0 licence. Pricing changes often, so verify at source before relying on it.","source":"https://beam.apache.org","question":"Is Apache Beam free to use?","confidence":0.6},{"answer":"Yes. Apache Beam can be deployed cloud / SaaS, on-premise and self-hosted, so it does not have to run on the vendor's infrastructure.","source":"https://beam.apache.org","question":"Can Apache Beam be self-hosted?","confidence":0.6},{"answer":"Yes. Apache Beam is published under the Apache-2.0 licence, a permissive licence that generally allows commercial use and modification. Licence terms can change between releases, so verify against the repository for the version you intend to use.","source":"https://github.com/apache/beam","question":"Is Apache Beam open source?","confidence":0.95}]` | `[{"answer":"Cloud ELT platform for building end-to-end data pipelines with data ingestion, transformation, orchestration, reverse ETL, and CDC replication. Supports no-code and custom Python code for analytics and AI use cases. It is indexed under Data Engineering Tools.","source":"https://rivery.io","question":"What is Rivery?","confidence":0.6},{"answer":"Rivery does not publish its prices. Pricing is quoted on request, across 4 plans (Base, Professional, Pro Plus and Enterprise), so the figure depends on your seat count and requirements. We record this as a pricing-transparency signal rather than guessing a number. Pricing changes often, so verify at source before relying on it.","source":"https://rivery.io","question":"How much does Rivery cost?","confidence":0.6},{"answer":"We have confirmed browser-based access to Rivery. That is the extent of what we could verify from public sources, so it may well offer desktop or mobile clients we have not indexed.","source":"https://rivery.io","question":"What platforms does Rivery support?","confidence":0.6},{"answer":"We have only confirmed a cloud / SaaS deployment for Rivery, so it appears to be vendor-hosted. If a self-hosted option exists we have not found it documented publicly.","source":"https://rivery.io","question":"Can Rivery be self-hosted?","confidence":0.6},{"answer":"We have confirmed 9 integrations for Rivery, including Salesforce, HubSpot, Slack, Tableau, Snowflake, BigQuery, Amazon Redshift and Azure Synapse Analytics, plus 1 more. This is what we could verify from public sources, so the vendor may support others we have not indexed.","source":"https://rivery.io","question":"What does Rivery integrate with?","confidence":0.6},{"answer":"We have independently confirmed SOC 2 for Rivery. Certifications we do not list are ones we have not been able to verify from public sources, which is not the same as Rivery not holding them. Always confirm compliance directly before you rely on it.","source":"https://rivery.io","question":"What security certifications does Rivery have?","confidence":0.6}]` |
| deployment.options | `{"cloud":true,"on_prem":true,"self_hosted":true}` | `{"cloud":true}` |
| description.long | Apache Beam is an open-source framework for processing data at scale using both batch and streaming paradigms. It enables users to write data transformation logic once and execute it across diverse deployment environments and data sources. | Rivery is a SaaS ELT platform that enables users to extract data from multiple sources (apps, databases, APIs) and load it into data warehouses with SQL or Python transformations. It includes reverse ETL capabilities to push processed data back into business applications. |
| 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":true,"role":"elt","paradigm":"both","data_quality":true,"elt_pushdown":true,"python_first":true,"managed_cloud":true,"connector_count":"200+","incremental_runs":true,"reverse_etl_addon":true,"custom_connector_sdk":true,"self_hosted_available":false}` |
| integrations.count | 1 | 200 |
| integrations.list | `[{"name":"Apache Hop","native":true}]` | `[{"name":"Salesforce"},{"name":"HubSpot"},{"name":"Slack"},{"name":"Tableau"},{"name":"Snowflake"},{"name":"BigQuery"},{"name":"Amazon Redshift"},{"name":"Azure Synapse Analytics"},{"name":"Databricks"},{"name":"NetSuite","native":true,"category":"erp","direction":"inbound"},{"name":"dbt","native":true,"category":"transformation","direction":"bidirectional"},{"name":"Airflow","native":true,"category":"orchestration","direction":"bidirectional"}]` |
| language.primary | Java | - |
| license.spdx | Apache-2.0 | - |
| market.availability | - | `{"primaryMarkets":["US","EU"],"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":"usage","plans":[{"free":false,"name":"Starter","summary":"$0.75 per RPU (PAYG), lower rate with annual commitment","features":["Basic ETL functionality","Unlimited users","Orchestration workflows"],"components":[{"per":{"qty":1,"unit":"RPU"},"kind":"metered","amount":0.75,"currency":"USD"}],"description":"For smaller businesses with smaller data volumes","contactSales":false},{"free":false,"name":"Professional","summary":"$1.20 per RPU (PAYG or annual)","features":["Advanced transformation capabilities","Unlimited users","Multiple workflows"],"components":[{"per":{"qty":1,"unit":"RPU"},"kind":"metered","amount":1.2,"currency":"USD"}],"description":"For fast-growing organizations needing advanced transformation capabilities","contactSales":false},{"free":false,"name":"Enterprise","summary":"Custom pricing","features":["Unlimited users, environments, workspaces","SSO, VPN","Built-for-you connectors","Dedicated solutions engineers"],"description":"For advanced data teams handling large data loads, migrations, strict security needs","contactSales":true}],"addOns":[{"name":"High Sync Frequency"}],"summary":"From $0.75 per RPU. Usage-based pricing (100MB data = 1 RPU). Free tier available. Annual and pay-as-you-go options.","currency":"USD","freeTier":true,"sourceUrl":"https://rivery.io/blog/rivery-unlimited-pricing/","retrievedAt":"2026-10-06T22:12:35.460Z","startingPrice":{"unit":"RPU","amount":0.75,"currency":"USD"},"billingPeriods":["month","year"]}` |
| pricing.free_tier | yes | yes |
| pricing.model | commercial | freemium |
| pricing.price_level | free | low |
| pricing.starting_price | - | `{"amount":0.75,"currency":"USD"}` |
| pricing.transparent | yes | yes |
| release.cadence_days | 40 | - |
| release.history | `[{"url":"https://github.com/apache/beam/releases/tag/v2.77.0","date":"2026-10-07T14:33:00Z","type":"stable","version":"v2.77.0"},{"url":"https://github.com/apache/beam/releases/tag/v2.76.0","date":"2026-08-11T11:18:23Z","type":"stable","version":"v2.76.0"},{"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"}]` | - |
| reliability.sla_pct | - | 99 |
| reliability.status_page | - | yes |
| security.certifications | - | `[{"name":"SOC 2 Type II","level":"Type II","status":"active"},{"name":"ISO/IEC 27001","level":"2013","status":"active"},{"name":"HIPAA","status":"active"},{"name":"GDPR","status":"active"}]` |
| security.gdpr | - | yes |
| security.hipaa | - | yes |
| security.iso27001 | - | yes |
| security.scorecard | 7.8 | - |
| security.soc2 | - | yes |
| security.trust_center | - | https://rivery.io/product/security-policy/ |
| 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 | Rivery |
|---|:--:|:--:|
| **Core** |  |  |
| Tool role | Orchestrator | ELT / ingestion |
| Processing paradigm | Batch + streaming | Batch + streaming |
| **Connectivity** |  |  |
| Connector count | Multiple I/O connectors for diverse data sources and sinks | 200+ |
| 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: vioscaleAI. Generated 2026-10-16T20:49:03.513Z. "-" = undocumented, not absent.*