Meltano vs Stitch
No clear leader: Stitch (68.1) and Meltano (63.4) are within the 5-point margin; treat as a tie. The attribute-by-attribute breakdown below, with a source and date on every value, is the honest way to compare them.
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.
Stitch
An ELT service that ingests data from 130+ cloud and on-premises applications and data sources, automatically replicating it to data warehouses, data lakes, and lakehouses. It handles extraction, scheduling, monitoring, and loading with minimal configuration required.
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
Stitch
From $100/month (Standard, usage-based). 14-day free trial. Annual contracts for Advanced ($18k/year) and Premium ($36k/year).
- StandardFrom $100/month for 5M rows. Usage scales with row volume.
- 7-day historical sync
- 7-day extraction log retention
- SOC 2 Type II compliance
- ISO 27001 compliance
- Notification extensibility
- +8 more
- AdvancedContact sales
- 60-day extraction log retention
- SOC 2 Type II compliance
- ISO 27001 compliance
- Notification extensibility
- Post-load webhooks
- +7 more
- PremiumContact sales
- 60-day extraction log retention
- SOC 2 Type II compliance
- ISO 27001 compliance
- Notification extensibility
- Post-load webhooks
- +7 more
- Stitch PlatformContact sales
- Isolated data pipelines per client
- Advanced settings and features
- 99% uptime SLA
- Mission-critical support
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.
- Snowflake
- Slack
- Databricks
- Datadog
Meltano
- Singer
- dbt
- Airflow
- PostgreSQL
- Great Expectations
- Dagster
- Superset
- Salesforce
- Google Analytics
- BigQuery
- dbt Cloud
- HubSpot
- Zendesk
- Jira
- Google Sheets
- Amazon Redshift
- MySQL
- GitHub
- GitLab
- Freshdesk
- Intercom
- Apache Kafka
- AWS S3
- Looker
- +35 more
Stitch
- PagerDuty
- Talend Cloud
- AWS
- Microsoft
- SAP
- Cloudera
Meltano or Stitch: 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.