Estuary Flow vs Meltano
On the evidence we track, Estuary Flow leads this comparison with a composite score of 80/100. 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.
Estuary Flow
LeaderEstuary is a fully managed data integration platform that consolidates the capture, movement, and transformation of data across databases, cloud storage, and applications. It supports continuous streaming, scheduled batch operations, and optional transformations using SQL, TypeScript, or dbt.
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.
Pricing
List pricing as published by each vendor, with the date we read it. Always verify at the source before you buy.
Estuary Flow
LeaderFree tier with 10 GB/month limit. Cloud plan: $0.50/GB data moved plus connector instance fees.
- FreeFree
- 2 connector instances
- 10 GB/month data limit
- Data stored in Estuary cloud storage
- Cloud$0.50/GB data moved + $100/month per connector (first 6), $50/month each additional
- Unlimited connector instances
- Usage-based data pricing
- Data stored in customer cloud account
- Real-time CDC from databases
- Batch and streaming data movement
- +3 more
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
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.
- Oracle
- MySQL
- PostgreSQL
- Amazon S3
- Google Cloud Storage
- NetSuite
- HubSpot
- Salesforce
- Apache Kafka
- Snowflake
- Amazon Redshift
- Elasticsearch
- MongoDB
- Databricks
- Facebook Ads
- LinkedIn Ads
- Google Ads
- BigQuery
Estuary Flow
Leader- Azure Blob Storage
- Google Pub/Sub
- Amazon Kinesis
- Google BigQuery
- Amazon DynamoDB
- Pinecone
- OpenAI
- SingleStore
- Motherduck
- Apache Iceberg
- Airbyte
Meltano
- Singer
- dbt
- Airflow
- Great Expectations
- Dagster
- Superset
- Slack
- Google Analytics
- dbt Cloud
- Zendesk
- Jira
- Google Sheets
- GitHub
- GitLab
- Freshdesk
- Intercom
- AWS S3
- Looker
- Data.world
- Monday.com
- Asana
- Mailchimp
- Airtable
- ActiveCampaign
- +21 more
Estuary Flow or Meltano: 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.