# Meltano vs Rivery

**Leader by vioscaleAI score:** Rivery

| Attribute | Meltano | Rivery |
|---|---|---|
| **vioscaleAI score** | 63.4 (36% (low)) | 78.6 (74% (medium)) |
| activity.commits_last_30d | 91 | - |
| adoption.dependent_repos | 42 | - |
| adoption.github_stars | 2,657 | - |
| content.faq | `[{"answer":"Meltano provides a code-first approach to data integration, offering 600+ pre-built connectors with compute-time pricing and integrated governance. It enables teams to combine data extraction, loading, and transformation workflows with native dbt support and orchestration capabilities. It is indexed under Data Engineering Tools.","source":"https://meltano.com/pricingcalculator","question":"What is Meltano?","confidence":0.6},{"answer":"Meltano offers a free tier, so you can start without paying. Paid plans are also available: Starter, Growth, Scale and Enterprise. Pricing changes often, so verify at source before relying on it.","source":"https://meltano.com","question":"Is Meltano free?","confidence":0.6},{"answer":"Meltano supports the web, Linux and a command-line interface. Platforms we have not confirmed are simply not listed here rather than ruled out.","source":"https://meltano.com/pricingcalculator","question":"What platforms does Meltano support?","confidence":0.6},{"answer":"Yes. Meltano can be deployed cloud / SaaS and self-hosted, so it does not have to run on the vendor's infrastructure.","source":"https://meltano.com/pricingcalculator","question":"Can Meltano be self-hosted?","confidence":0.6},{"answer":"We have confirmed 8 integrations for Meltano, including Singer, dbt, Airflow, PostgreSQL, Snowflake, Great Expectations, Dagster and Superset. This is what we could verify from public sources, so the vendor may support others we have not indexed.","source":"https://meltano.com/pricingcalculator","question":"What does Meltano integrate with?","confidence":0.6},{"answer":"We have independently confirmed GDPR for Meltano. Certifications we do not list are ones we have not been able to verify from public sources, which is not the same as Meltano not holding them. Always confirm compliance directly before you rely on it.","source":"https://meltano.com/privacy-policy","question":"What security certifications does Meltano have?","confidence":0.7},{"answer":"Yes. Meltano is published under the MIT 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/meltano/meltano","question":"Is Meltano 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,"self_hosted":true}` | `{"cloud":true}` |
| description.long | Meltano provides teams with an open-source data integration engine that orchestrates extraction, loading, and transformation from multiple sources. It supports various replication methods and includes automatic data quality monitoring, with flexibility to deploy either in a managed cloud environment or as self-hosted infrastructure. | 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 | `{"cdc":true,"role":"elt","paradigm":"both","dbt_native":true,"data_quality":true,"elt_pushdown":true,"managed_cloud":true,"connector_count":"600+","self_hosted_oss":true,"incremental_runs":true,"streaming_ingestion":true,"custom_connector_sdk":true,"schema_drift_handling":true,"self_hosted_available":true,"managed_cloud_available":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 | 600 | 200 |
| integrations.list | `[{"name":"Singer"},{"name":"dbt"},{"name":"Airflow"},{"name":"PostgreSQL"},{"name":"Snowflake"},{"name":"Great Expectations"},{"name":"Dagster"},{"name":"Superset"},{"name":"Slack","native":true},{"name":"Salesforce","native":true},{"name":"Google Analytics","native":true},{"name":"BigQuery","native":true},{"name":"dbt Cloud","native":true},{"name":"HubSpot","native":true},{"name":"Zendesk","native":true},{"name":"Jira","native":true},{"name":"Google Sheets","native":true},{"name":"Amazon Redshift","native":true},{"name":"MySQL","native":true},{"name":"GitHub","native":true},{"name":"GitLab","native":true},{"name":"Freshdesk","native":true},{"name":"Intercom","native":true},{"name":"Apache Kafka","native":true},{"name":"AWS S3","native":true},{"name":"Looker","native":true},{"name":"Data.world","native":true},{"name":"Monday.com","native":true},{"name":"Asana","native":true},{"name":"Mailchimp","native":true},{"name":"LinkedIn Ads","native":true},{"name":"Airtable","native":true},{"name":"ActiveCampaign","native":true},{"name":"Marketo","native":true},{"name":"Microsoft SQL Server","native":true},{"name":"MongoDB","native":true},{"name":"Oracle","native":true},{"name":"Google Cloud Storage","native":true},{"name":"Amazon Advertising"},{"name":"Amazon S3"},{"name":"Auth0"},{"name":"BigCommerce"},{"name":"Chargebee"},{"name":"ClickHouse"},{"name":"Clickup"},{"name":"Close"},{"name":"Confluence"},{"name":"Contentful"},{"name":"Databricks"},{"name":"Datadog"},{"name":"DuckDB"},{"name":"eBay"},{"name":"Elasticsearch"},{"name":"Eventbrite"},{"name":"Facebook Ads"},{"name":"FreshBooks"},{"name":"Google Ads"},{"name":"Greenhouse"},{"name":"Kafka"},{"name":"Klaviyo"},{"name":"NetSuite"},{"name":"Postgres"},{"name":"Sumo Logic"}]` | `[{"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 | Python | - |
| license.spdx | MIT | - |
| market.availability | `{"primaryMarkets":[],"availabilityScope":"global","availableCountries":[],"notAvailableCountries":[]}` | `{"primaryMarkets":["US","EU"],"availabilityScope":"global","availableCountries":[],"notAvailableCountries":[]}` |
| platform.support | `{"cli":true,"web":true}` | `{"cli":true,"web":true}` |
| pricing | `{"type":"hybrid","plans":[{"free":false,"name":"Starter","features":["200 compute hours/mo","Managed infrastructure","25 workspaces","Unlimited users","600+ connectors","Reverse ETL included","AI Data engineer agent","Direct access to Meltano Engineers via Slack","Enterprise security","Best in class SLA"],"commitment":"monthly","description":"Get your first managed pipelines running in hours, not weeks","contactSales":false,"includedLimits":{"users":"unlimited","connectors":"600+","workspaces":"25","compute_hours":"200/mo"}},{"free":false,"name":"Growth","features":["2000 compute hours/mo","Everything in Starter","100 workspaces","8 hours of engineering on demand/mo","Shared account management"],"commitment":"monthly","description":"Scale pipelines with real engineering support baked in","contactSales":false,"includedLimits":{"connectors":"600+","workspaces":"100","compute_hours":"2000/mo"}},{"free":false,"name":"Scale","features":["5000 compute hours/mo","Everything in Growth","Unlimited workspaces","15 hours of engineering on demand/mo","Dedicated account management","Cost monitoring workspace included"],"commitment":"monthly","description":"Dedicated support. Full platform access. Nothing held back.","contactSales":false,"includedLimits":{"connectors":"600+","workspaces":"unlimited","compute_hours":"5000/mo"}},{"free":false,"name":"Enterprise","features":["Unlimited compute hours/mo","Everything in Scale","Custom connectors","Custom hours of engineering on demand/mo","Custom SLA"],"commitment":"monthly","description":"Truly custom. For organisations with serious data at scale.","contactSales":true,"includedLimits":{"connectors":"600+","compute_hours":"unlimited"}}],"summary":"Free open-source version. Managed cloud plans from Starter (200 compute hrs/mo) to Enterprise (unlimited). Pay for compute, not rows.","currency":"USD","freeTier":true,"sourceUrl":"https://meltano.com","retrievedAt":"2026-08-03T14:26:46.478Z","billingPeriods":["month"]}` | `{"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 | freemium | freemium |
| pricing.price_level | low | low |
| pricing.starting_price | - | `{"amount":0.75,"currency":"USD"}` |
| pricing.transparent | yes | yes |
| release.cadence_days | 7 | - |
| release.history | `[{"url":"https://github.com/meltano/meltano/releases/tag/v4.4.1","date":"2026-10-07T10:57:42Z","type":"stable","version":"v4.4.1"},{"url":"https://github.com/meltano/meltano/releases/tag/v4.4.0","date":"2026-09-29T13:20:16Z","type":"stable","version":"v4.4.0"},{"url":"https://github.com/meltano/meltano/releases/tag/v4.3.0","date":"2026-09-21T16:03:58Z","type":"stable","version":"v4.3.0"},{"url":"https://github.com/meltano/meltano/releases/tag/v4.2.2","date":"2026-07-22T15:52:24Z","type":"stable","version":"v4.2.2"},{"url":"https://github.com/meltano/meltano/releases/tag/v3.9.5","date":"2026-07-22T15:23:55Z","type":"stable","version":"v3.9.5"},{"url":"https://github.com/meltano/meltano/releases/tag/v4.2.1","date":"2026-06-16T22:28:01Z","type":"stable","version":"v4.2.1"},{"url":"https://github.com/meltano/meltano/releases/tag/v3.9.4","date":"2026-06-16T22:27:42Z","type":"stable","version":"v3.9.4"},{"url":"https://github.com/meltano/meltano/releases/tag/v3.9.3","date":"2026-04-13T20:41:28Z","type":"stable","version":"v3.9.3"},{"url":"https://github.com/meltano/meltano/releases/tag/v4.2.0","date":"2026-04-10T23:16:25Z","type":"stable","version":"v4.2.0"},{"url":"https://github.com/meltano/meltano/releases/tag/v4.1.2","date":"2026-02-03T03:20:00Z","type":"stable","version":"v4.1.2"},{"url":"https://github.com/meltano/meltano/releases/tag/v3.9.2","date":"2026-02-03T13:39:09Z","type":"stable","version":"v3.9.2"},{"url":"https://github.com/meltano/meltano/releases/tag/v4.1.1","date":"2026-01-31T18:19:50Z","type":"stable","version":"v4.1.1"},{"url":"https://github.com/meltano/meltano/releases/tag/v4.1.0","date":"2026-01-30T23:39:39Z","type":"stable","version":"v4.1.0"},{"url":"https://github.com/meltano/meltano/releases/tag/v4.0.9","date":"2026-01-19T19:14:48Z","type":"stable","version":"v4.0.9"},{"url":"https://github.com/meltano/meltano/releases/tag/v4.0.8","date":"2025-12-17T19:50:30Z","type":"stable","version":"v4.0.8"},{"url":"https://github.com/meltano/meltano/releases/tag/v4.0.7","date":"2025-12-09T02:51:42Z","type":"stable","version":"v4.0.7"},{"url":"https://github.com/meltano/meltano/releases/tag/v4.0.6","date":"2025-11-20T00:02:42Z","type":"stable","version":"v4.0.6"},{"url":"https://github.com/meltano/meltano/releases/tag/v4.0.5","date":"2025-11-04T15:26:22Z","type":"stable","version":"v4.0.5"},{"url":"https://github.com/meltano/meltano/releases/tag/v4.0.4","date":"2025-10-31T17:09:54Z","type":"stable","version":"v4.0.4"},{"url":"https://github.com/meltano/meltano/releases/tag/v4.0.3","date":"2025-10-30T22:13:48Z","type":"stable","version":"v4.0.3"}]` | - |
| 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.disclosure_policy | yes | - |
| security.gdpr | yes | yes |
| security.hipaa | - | yes |
| security.iso27001 | - | yes |
| security.soc2 | - | yes |
| security.trust_center | https://meltano.com/privacy-policy | https://rivery.io/product/security-policy/ |
| security.vulnerabilities | `{"count":0,"source":"https://advisories.ecosyste.ms/api/v1/advisories?ecosystem=pypi&package_name=meltano&per_page=100","last_12m":0,"max_severity":null}` | - |

## Capabilities (Data Engineering Tools)

| Capability | Meltano | Rivery |
|---|:--:|:--:|
| **Core** |  |  |
| Tool role | ELT / ingestion | ELT / ingestion |
| Processing paradigm | Batch + streaming | Batch + streaming |
| **Connectivity** |  |  |
| Connector count | 600+ | 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 2026-10-16T17:47:56.683Z. "-" = undocumented, not absent.*