Apache Hue
Apache Hue: A free, self-hosted SQL workspace with notebooks, sharing, scheduling, and broad connectors. Ranked #20 of 31 in SQL Query Tools by our editors (7.0/10); pricing: Free plan; best for self-hosted SQL notebooks and scheduling.
At a glance
- Editor score7.0 / 10
- PricingFree plan
- Best forSelf-hosted SQL notebooks and scheduling
- Free planYes
- Paid fromFree
- Facts checked20 Sep 2026
Where it wins
- Free and open source with web, API, and self-hosted deployment
- SQL notebooks support multiple snippets, sharing, and permissions
- Connects with databases and warehouses across many SQL engines
Where it doesn't
- Query scheduling is documented as experimental
- Self-hosted deployment puts infrastructure work on your team
- Browser-based rather than a desktop SQL client
Our verdict on Apache Hue
Apache Hue is a browser-based, open-source SQL assistant for data teams querying databases and data warehouses. It combines an interactive SQL editor with syntax highlighting and autocomplete, query execution, result filtering, charting, export, notebooks, dashboards, sharing, and connectors for multiple data systems. Its deployment options include the web, API, and self-hosted environments, making it a fit for organizations that want to operate the workspace within their own infrastructure.
The published product details show a free open-source model rather than separate paid tiers. Hue’s core workspace includes SQL and programming notebooks with multiple snippets, query and document sharing with permissions, query analysis, risk alerts, optimization assistance, and one-click SQL query scheduling. The scheduling feature is documented as experimental, so teams that depend on scheduled queries should account for that status when evaluating operational use. REST, Python, and CLI APIs also provide ways to work with Hue programmatically.
Its broad connector list is a central strength. Hue supports Apache Hive, Apache Impala, Presto, Trino, Apache Flink, Spark SQL, Apache Phoenix, ksqlDB, Elasticsearch, Apache Druid, PostgreSQL, MySQL, Google BigQuery, AWS Athena, and AWS Redshift. That range suits teams working across both open-source data platforms and cloud warehouses. The trade-off is that self-hosted deployment requires the organization to handle its own environment, while the browser-based design may not suit buyers seeking a desktop SQL client. Choose Hue for open-source notebooks, team sharing, APIs, and multi-engine access; consider an alternative if mature scheduling or desktop-first workflows are priorities.
Your product? Our editors can test Apache Hue in depth and publish a review, labelled as paid · from $149/mo →
Apache Hue pricing
Apache Hue fact sheet
| Free plan | Yes |
|---|---|
| Paid from | Free |
| Query history retention | Not verified |
| Scheduled queries | Yes |
| Team query sharing | Yes |
| SQL notebooks | Yes |
| AI query assistance | Not verified |
| Deployment options | Self_hosted |
| Deployment | Self-hosted |
| Platforms | Web |
| Support | Community, Docs |
| Built for | Small business, Mid-market, Enterprise (editorial estimate) |
| Integrations | 19 integrations: Apache Hive, Apache Impala, Presto, Trino, Apache Flink, Spark SQL … See all → |
| Pricing | Free plan |
| Website | gethue.com |
| Facts checked | 20 Sep 2026 |
Apache Hue integrations
Apache Hue lists 19 integrations on its own site.
- Apache Hive
- Apache Impala
- Presto
- Trino
- Apache Flink
- Spark SQL
- Apache Phoenix
- ksqlDB
- Elasticsearch
- Apache Druid
- PostgreSQL
- MySQL
- Google BigQuery
- AWS Athena
- AWS Redshift
- Snowflake
- ClickHouse
- SQLite
- Google Sheets
See all Apache Hue integrations →
Alternatives to Apache Hue
- DBeaverA broad desktop database client with deep SQL tooling and a free open-source edition.9.4
- DataGripAdvanced SQL intelligence, broad database coverage, and strong developer tooling.9.1
- DbVisualizerA capable multi-database desktop client with broad connectivity and a useful free edition.8.9
See all Apache Hue alternatives →
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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
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