Meltano
A code-first data integration platform for building and orchestrating ELT pipelines across hundreds of data sources
- Also known as
- meltano
Available worldwide
What is Meltano?
An open-source and cloud-based data integration engine that enables teams to connect APIs and databases, build data workflows, and manage ETL operations without maintaining custom API integrations.
Meltano pricing
Plans, per-tier features and add-ons, dated and linked to live pricing. Pricing changes often; always verify at source before you rely on it.
Free open-source version. Managed cloud plans from Starter (200 compute hrs/mo) to Enterprise (unlimited). Pay for compute, not rows.
Starter
Get your first managed pipelines running in hours, not weeks
- users
- unlimited
- connectors
- 600+
- workspaces
- 25
- compute_hours
- 200/mo
- 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
Growth
Scale pipelines with real engineering support baked in
- connectors
- 600+
- workspaces
- 100
- compute_hours
- 2000/mo
- 2000 compute hours/mo
- Everything in Starter
- 100 workspaces
- 8 hours of engineering on demand/mo
- Shared account management
Scale
Dedicated support. Full platform access. Nothing held back.
- connectors
- 600+
- workspaces
- unlimited
- compute_hours
- 5000/mo
- 5000 compute hours/mo
- Everything in Growth
- Unlimited workspaces
- 15 hours of engineering on demand/mo
- Dedicated account management
- Cost monitoring workspace included
Enterprise
Contact salesTruly custom. For organisations with serious data at scale.
- connectors
- 600+
- compute_hours
- unlimited
- Unlimited compute hours/mo
- Everything in Scale
- Custom connectors
- Custom hours of engineering on demand/mo
- Custom SLA
What Meltano does
The capabilities that matter for data engineering tools, normalised so it lines up with every alternative. “-” means we haven't confirmed it, not that it's missing.
- Tool role
- ELT / ingestion
- Processing paradigm
- Batch + streaming
- Connector count
- 600+
- CDC / log-based replication
- ✓
- In-warehouse transformation (push-down)
- ✓
- dbt-native orchestration
- ✓
- Self-hosted / open-source available
- ✓
- Managed cloud available
- ✓
- Data lineage / asset catalog
- -
- Python-first authoring
- -
- Incremental / partition-aware runs
- ✓
- Built-in data quality / tests
- -
- Horizontal scale (distributed executor)
- -
Platform & deployment
Independently observed- CLI
- Web
- Cloud / SaaS
- Self-hosted
Integrations (38)
Independently observed- Singer
- dbt
- Airflow
- PostgreSQL
- Snowflake
- Great Expectations
- Dagster
- Superset
- Slack•
- Salesforce•
- Google Analytics•
- BigQuery•
- dbt Cloud•
- HubSpot•
- Zendesk•
- Jira•
- Google Sheets•
- Amazon Redshift•
- MySQL•
- GitHub•
- GitLab•
- Freshdesk•
- Intercom•
- Apache Kafka•
- AWS S3•
- Looker•
- Data.world•
- Monday.com•
- Asana•
- Mailchimp•
- LinkedIn Ads•
- Airtable•
- ActiveCampaign•
- Marketo•
- Microsoft SQL Server•
- MongoDB•
- Oracle•
- Google Cloud Storage•
Security & compliance
Known vulnerabilities: 0 (0 in the last 12 months) sourcea count reflects scale & disclosure, not quality
Meltano FAQ
Common questions about Meltano, answered from independent, dated evidence.
What is Meltano?
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.
Is Meltano free?
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
What platforms does Meltano support?
Meltano supports the web, Linux and a command-line interface. Platforms we have not confirmed are simply not listed here rather than ruled out.
Can Meltano be self-hosted?
Yes. Meltano can be deployed cloud / SaaS and self-hosted, so it does not have to run on the vendor's infrastructure.
What does Meltano integrate with?
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.
What security certifications does Meltano have?
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.
Is Meltano open source?
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.
Meltano alternatives
Other data engineering tools we track, ranked by the same independent score.
- CensusAutomated data integration platform that moves and transforms data from diverse sources into analytics and AI-ready destinationsmedium · 74%
- Estuary FlowA managed platform for moving data between systems with support for real-time streaming, batch processing, and in-flight transformation.medium · 72%
- HightouchActivate your data warehouse to keep business tools updated with current customer informationmedium · 71%
- Apache AirflowOpen-source workflow orchestration engine for scheduling and monitoring data pipelines as codemedium · 67%
- Prefecthigh · 77%
- Stitchmedium · 70%
Compare Meltano
Side by side against other data engineering tools, attribute by attribute, with a source on every value.
The vioscaleAI score: one lens on the evidence
Not user reviews and not a paid placement: a confidence-weighted blend of the independent signals below (adoption, activity, security posture, and more), which you can sort and re-weight yourself. Vendors can correct their listing but can never move their rank, and stars are weighted low as a vanity metric. It is one way to read the evidence for Meltano, not the verdict.
| Signal | Score | Weight | Contribution | Evidence |
|---|---|---|---|---|
| Capabilities | 96 | 0.08 | 7.5 | ✓ |
| Integrations | 80 | 0.07 | 5.6 | ✓ |
| Release cadence | 98 | 0.05 | 5.1 | ✓ |
| Development activity | 51 | 0.09 | 4.8 | ✓ |
| Stars | 65 | 0.03 | 1.7 | ✓ |
| Dependent projects | 27 | 0.06 | 1.7 | ✓ |
| Security posture | 10 | 0.07 | 0.0 | - |
| Package downloads | 0 | 0.14 | 0.0 | - |
| Security score | 0 | 0.04 | 0.0 | - |
| Developer Q&A activity | 0 | 0.06 | 0.0 | - |
Computed . Re-weight it by intent, or see the full method.
All data & sourcesshow ↓
Every value we hold, with its source, retrieval date, and confidence. This is the evidence behind the score: don't trust it, verify it.
Activity
| Attribute | Value | Evidence |
|---|---|---|
| Commits last 30d | 41 | mediumsource · 2026-09-11 · 65% |
Adoption
Content
| Attribute | Value | Evidence |
|---|---|---|
| Faq | 7 items | mediumsource · 2026-09-10 · 66% |
Features
| Attribute | Value | Evidence |
|---|---|---|
| Capabilities | Cdc: Yes · Role: elt · Paradigm: both · Dbt native: Yes · Elt pushdown: Yes · Managed cloud: Yes | mediumsource · 2026-09-14 · 60% |
Integrations
| Attribute | Value | Evidence |
|---|---|---|
| Count | 600 | mediumsource · 2026-09-14 · 60% |
Language
| Attribute | Value | Evidence |
|---|---|---|
| Primary | Python | highsource · 2026-09-11 · 90% |
License
| Attribute | Value | Evidence |
|---|---|---|
| Spdx | MIT | highsource · 2026-09-11 · 95% |
Market
| Attribute | Value | Evidence |
|---|---|---|
| Availability | PrimaryMarkets: … · AvailabilityScope: global · AvailableCountries: … · NotAvailableCountries: … | highsource · 2026-09-14 · 75% |
Pricing
Release
Security
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