Meltano vs Rivery
On the evidence we track, Rivery leads this comparison with a composite score of 79/100. Scores are only directly comparable because these tools share a category; the full breakdown and every source is below.
Capabilities
Feature-by-feature on the axes that matter for data engineering tools. “-” means undocumented, not absent.
What each one is
The product in its own terms, so the numbers below have context.
Meltano
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
LeaderRivery 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.
Pricing
List pricing as published by each vendor, with the date we read it. Always verify at the source before you buy.
Meltano
Free open-source version. Managed cloud plans from Starter (200 compute hrs/mo) to Enterprise (unlimited). Pay for compute, not rows.
- Starter-
- 200 compute hours/mo
- Managed infrastructure
- 25 workspaces
- Unlimited users
- 600+ connectors
- +5 more
- Growth-
- 2000 compute hours/mo
- Everything in Starter
- 100 workspaces
- 8 hours of engineering on demand/mo
- Shared account management
- Scale-
- 5000 compute hours/mo
- Everything in Growth
- Unlimited workspaces
- 15 hours of engineering on demand/mo
- Dedicated account management
- +1 more
- EnterpriseContact sales
- Unlimited compute hours/mo
- Everything in Scale
- Custom connectors
- Custom hours of engineering on demand/mo
- Custom SLA
Rivery
LeaderFrom $0.75 per RPU. Usage-based pricing (100MB data = 1 RPU). Free tier available. Annual and pay-as-you-go options.
- Starter$0.75 per RPU (PAYG), lower rate with annual commitment
- Basic ETL functionality
- Unlimited users
- Orchestration workflows
- Professional$1.20 per RPU (PAYG or annual)
- Advanced transformation capabilities
- Unlimited users
- Multiple workflows
- EnterpriseContact sales
- Unlimited users, environments, workspaces
- SSO, VPN
- Built-for-you connectors
- Dedicated solutions engineers
Platform & deployment
Where each product runs and how it can be hosted. A dash means undocumented, not unsupported.
Integrations
What each product connects to. Counts come from the vendor's own integration directory where one exists.
- dbt
- Airflow
- Snowflake
- Slack
- Salesforce
- BigQuery
- HubSpot
- Amazon Redshift
- Databricks
- NetSuite
Meltano
- Singer
- PostgreSQL
- Great Expectations
- Dagster
- Superset
- Google Analytics
- dbt Cloud
- Zendesk
- Jira
- Google Sheets
- MySQL
- GitHub
- GitLab
- Freshdesk
- Intercom
- Apache Kafka
- AWS S3
- Looker
- Data.world
- Monday.com
- Asana
- Mailchimp
- LinkedIn Ads
- Airtable
- +29 more
Rivery
Leader- Tableau
- Azure Synapse Analytics
Meltano or Rivery: which one depends on you
A composite score cannot know your constraints. Describe them and both get re-weighted against what you actually need, with the evidence behind every position.
Free to run, no account needed to start. How the evaluation works
Comparison generated from independently-sourced facts. Every value links to its source and retrieval date. See the method.