Independent comparison for technology buyers. Updated May 2026.
Quick verdict: Choose Starburst when federation across many sources via Trino and large-scale ad-hoc SQL on a lakehouse are central. Choose Dremio when an Apache Arrow-accelerated lakehouse with semantic layer and reflections for BI acceleration is the priority. The differentiator is broad Trino federation versus Arrow-native lakehouse with self-service semantic modelling.
| Criteria | Starburst | Dremio |
|---|---|---|
| Rating | 4.4 / 5.0 (540 reviews) | 4.3 / 5.0 (480 reviews) |
| Engine | Trino (formerly PrestoSQL) | Apache Arrow / Sonar engine |
| Open Table Format | Apache Iceberg, Delta, Hive | Apache Iceberg, Delta, Hudi |
| Federation | 100+ connectors via Trino | Cross-source federation, reflections |
| Deployment | Starburst Galaxy SaaS, Enterprise self-managed | Dremio Cloud SaaS, Dremio Software |
| BI Acceleration | Materialised views, caching | Reflections (incremental data accelerations) |
| AI / ML | Trino UDFs, ML integration via partners | Dremio AI integrations, vector search |
| Pricing Model | Galaxy per cluster credit, Enterprise contract | Cloud consumption, Software node-based |
| Best For | Federation, ad-hoc SQL, Iceberg lakehouse | Self-service BI on lakehouse, reflections |
Starburst is the commercial steward of Trino, the distributed SQL engine descended from PrestoDB. Starburst Galaxy is a managed cloud offering across AWS, Azure, and GCP; Starburst Enterprise is the self-managed distribution. It exposes Iceberg and Delta as first-class table formats and provides 100+ connectors for federation across databases, lakes, and SaaS systems. Workloads include lakehouse SQL, federated analytics, and migration from legacy warehouses.
Dremio is an Apache Arrow-native lakehouse query engine with a strong focus on self-service semantic modelling, reflections (incremental, query-aware accelerations), and lakehouse architecture on Apache Iceberg. Dremio Cloud is a managed SaaS; Dremio Software is the self-managed distribution. BI workloads benefit from reflections that automatically accelerate queries on large lakehouse tables.
For organisations prioritising broad federation across heterogeneous sources or migrating from legacy warehouses, Starburst typically fits. For organisations standardising on Iceberg lakehouse architecture with BI acceleration and semantic modelling for analysts, Dremio is often the closer match. Compare to Databricks and the data analytics category.
Starburst Galaxy pricing is consumption-based (credits per cluster size per hour) plus cloud infrastructure. Starburst Enterprise is contract-based with annual licence plus support. Enterprise estates commonly land $150,000-$3M ARR.
Dremio Cloud is consumption-based on Dremio Compute Units (DCU) plus underlying cloud infrastructure. Dremio Software is licensed per node or core. Enterprise estates typically land $100,000-$2.5M ARR depending on data volumes and concurrency.
Choose Starburst when federation across heterogeneous data sources via Trino is core to the analytics pattern, when migrating from legacy warehouses to an Iceberg lakehouse, or when an active open-source Trino strategy is in place.
Choose Dremio when standardising on an Iceberg lakehouse with self-service semantic modelling, when BI acceleration via reflections is a strategic capability, or when an Arrow-native engine is preferred for analytics workloads.
This Starburst vs. Dremio comparison summarises the practical differences between the two options for enterprise buyers. The analysis covers pricing models, target customer size, deployment options, integration coverage, and customer-reported strengths. Use the related comparisons below to evaluate either product against other alternatives.