Hightouch vs Meltano
On the evidence we track, Hightouch leads this comparison with a composite score of 72/100. 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.
Hightouch
LeaderA data activation platform that syncs information from data warehouses to business applications, with support for numerous pre-built integrations and the ability to create custom connections without coding.
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.
Hightouch
LeaderUsage-based pricing with free tier. Mix-and-match products based on actual usage.
- Basic Reverse ETLFree
- Up to 2 active syncs
- Unlimited destination count
- Unlimited user seats
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.
- ActiveCampaign
- Airtable
- Apache Kafka
- Asana
- Auth0
- BigCommerce
- Chargebee
- ClickUp
- Close
- Elasticsearch
- Freshdesk
- Snowflake
- Databricks
- BigQuery
- Google Analytics
- Salesforce
- Google Ads
- Slack
- Zendesk
- Google Cloud Storage
- Google Sheets
- ClickHouse
Hightouch
Leader- Acoustic
- Adobe Analytics
- Adobe Campaign Classic
- Adobe Experience Platform
- Adobe Target
- Airship
- Algolia
- Amplitude
- Anaplan
- AppsFlyer
- Attentive
- Awin
- AWS Lambda
- Azure Blob Storage
- Azure Functions
- Bloomreach
- Bluecore
- Braze
- Brevo
- Campaign Monitor
- ChartMogul
- ChatGPT Ads
- ChurnZero
- CockroachDB
- +46 more
Meltano
- Singer
- dbt
- Airflow
- PostgreSQL
- Great Expectations
- Dagster
- Superset
- dbt Cloud
- HubSpot
- Jira
- Amazon Redshift
- MySQL
- GitHub
- GitLab
- Intercom
- AWS S3
- Looker
- Data.world
- Monday.com
- Mailchimp
- LinkedIn Ads
- Marketo
- Microsoft SQL Server
- MongoDB
- +17 more
Hightouch 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.