# Top 10 Dremio Alternatives & Competitors
**Average Rating:** 4.6/5
**Total Number of Reviews:** 70
Explore the best alternatives to Dremio for users who need new software features or want to try different solutions. Big Data Processing And Distribution Systems is a widely used technology, and many people are seeking sophisticated, easy to use software solutions with data transformation, data modeling, and user, role, and access management. Other important factors to consider when researching alternatives to Dremio include analytics and performance. The best overall Dremio alternative is Databricks. Other similar apps like Dremio are Snowflake, Google Cloud BigQuery, Starburst, and Denodo. Dremio alternatives can be found in [Big Data Processing And Distribution Systems](https://www.g2.com/categories/big-data-processing-and-distribution) but may also be in [Data Warehouse Solutions](https://www.g2.com/categories/data-warehouse) or [Big Data Analytics Software](https://www.g2.com/categories/big-data-analytics).


## Best Paid & Free Alternatives to Dremio
  - [Databricks](https://www.g2.com/products/databricks/reviews)
  - [Snowflake](https://www.g2.com/products/snowflake/reviews)
  - [Google Cloud BigQuery](https://www.g2.com/products/google-cloud-bigquery/reviews)
  - [Starburst](https://www.g2.com/products/starburst/reviews)
  - [Denodo](https://www.g2.com/products/denodo/reviews)
  - [Cloudera](https://www.g2.com/products/cloudera/reviews)
  - [Amazon Redshift](https://www.g2.com/products/amazon-redshift/reviews)
  - [Teradata Autonomous Knowledge Platform](https://www.g2.com/products/teradata-autonomous-knowledge-platform/reviews)
  - [Azure Synapse Analytics](https://www.g2.com/products/azure-synapse-analytics/reviews)
  - [Alteryx](https://www.g2.com/products/alteryx/reviews)

## Top 10 Alternatives to Dremio Recently Reviewed By G2 Community
Browse options below. Based on reviewer data, you can see how Dremio stacks up to the competition, check reviews from current & previous users in industries like Financial Services, Marketing and Advertising, and Consumer Services, and find the best product for your business.


  ### 1. [Databricks](https://www.g2.com/products/databricks/reviews)
By Databricks Inc.
**Average Rating:** 4.6/5
**Total Reviews:** 1,336
Making big data simple


Reviewers say compared to Dremio, Databricks is:
- More expensive
- Easier to admin
- Better at support
Categories in common with Dremio: [Big Data Processing and Distribution](https://www.g2.com/categories/big-data-processing-and-distribution), [Big Data Analytics](https://www.g2.com/categories/big-data-analytics), [Data Warehouse](https://www.g2.com/categories/data-warehouse)

**Compare:** [Dremio vs Databricks](https://www.g2.com/compare/databricks-vs-dremio)
**Compare Databricks with other alternatives:**
- [Databricks vs Snowflake](https://www.g2.com/compare/databricks-vs-snowflake)
- [Databricks vs Google Cloud BigQuery](https://www.g2.com/compare/databricks-vs-google-cloud-bigquery)
- [Databricks vs Starburst](https://www.g2.com/compare/databricks-vs-starburst)
- [Databricks vs Denodo](https://www.g2.com/compare/databricks-vs-denodo)
- [Databricks vs Cloudera](https://www.g2.com/compare/cloudera-vs-databricks)
- [Databricks vs Amazon Redshift](https://www.g2.com/compare/amazon-redshift-vs-databricks)
- [Databricks vs Teradata Autonomous Knowledge Platform](https://www.g2.com/compare/databricks-vs-teradata-autonomous-knowledge-platform)
- [Databricks vs Azure Synapse Analytics](https://www.g2.com/compare/azure-synapse-analytics-vs-databricks)
- [Databricks vs Alteryx](https://www.g2.com/compare/alteryx-vs-databricks)

  ### 2. [Snowflake](https://www.g2.com/products/snowflake/reviews)
By Snowflake, Inc.
**Average Rating:** 4.5/5
**Total Reviews:** 757
Snowflake’s platform eliminates data silos and simplifies architectures, so organizations can get more value from their data. The platform is designed as a single, unified product with automations that reduce complexity and help ensure everything “just works”. To support a wide range of workloads, it’s optimized for performance at scale no matter whether someone’s working with SQL, Python, or other languages. And it’s globally connected so organizations can securely access the most relevant content across clouds and regions, with one consistent experience.


Reviewers say compared to Dremio, Snowflake is:
- Easier to admin
- Easier to set up
- Better at meeting requirements
Categories in common with Dremio: [Big Data Processing and Distribution](https://www.g2.com/categories/big-data-processing-and-distribution), [Big Data Analytics](https://www.g2.com/categories/big-data-analytics), [Data Warehouse](https://www.g2.com/categories/data-warehouse)

**Compare:** [Dremio vs Snowflake](https://www.g2.com/compare/dremio-vs-snowflake)
**Compare Snowflake with other alternatives:**
- [Snowflake vs Databricks](https://www.g2.com/compare/databricks-vs-snowflake)
- [Snowflake vs Google Cloud BigQuery](https://www.g2.com/compare/google-cloud-bigquery-vs-snowflake)
- [Snowflake vs Starburst](https://www.g2.com/compare/snowflake-vs-starburst)
- [Snowflake vs Denodo](https://www.g2.com/compare/denodo-vs-snowflake)
- [Snowflake vs Cloudera](https://www.g2.com/compare/cloudera-vs-snowflake)
- [Snowflake vs Amazon Redshift](https://www.g2.com/compare/amazon-redshift-vs-snowflake)
- [Snowflake vs Teradata Autonomous Knowledge Platform](https://www.g2.com/compare/snowflake-vs-teradata-autonomous-knowledge-platform)
- [Snowflake vs Azure Synapse Analytics](https://www.g2.com/compare/azure-synapse-analytics-vs-snowflake)
- [Snowflake vs Alteryx](https://www.g2.com/compare/alteryx-vs-snowflake)

  ### 3. [Google Cloud BigQuery](https://www.g2.com/products/google-cloud-bigquery/reviews)
By Google
**Average Rating:** 4.5/5
**Total Reviews:** 1,224
Analyze Big Data in the cloud with BigQuery. Run fast, SQL-like queries against multi-terabyte datasets in seconds. Scalable and easy to use, BigQuery gives you real-time insights about your data.


Reviewers say compared to Dremio, Google Cloud BigQuery is:
- Easier to admin
- Easier to set up
- Better at meeting requirements
Categories in common with Dremio: [Big Data Processing and Distribution](https://www.g2.com/categories/big-data-processing-and-distribution), [Big Data Analytics](https://www.g2.com/categories/big-data-analytics), [Data Warehouse](https://www.g2.com/categories/data-warehouse)

**Compare:** [Dremio vs Google Cloud BigQuery](https://www.g2.com/compare/dremio-vs-google-cloud-bigquery)
**Compare Google Cloud BigQuery with other alternatives:**
- [Google Cloud BigQuery vs Databricks](https://www.g2.com/compare/databricks-vs-google-cloud-bigquery)
- [Google Cloud BigQuery vs Snowflake](https://www.g2.com/compare/google-cloud-bigquery-vs-snowflake)
- [Google Cloud BigQuery vs Starburst](https://www.g2.com/compare/google-cloud-bigquery-vs-starburst)
- [Google Cloud BigQuery vs Denodo](https://www.g2.com/compare/denodo-vs-google-cloud-bigquery)
- [Google Cloud BigQuery vs Cloudera](https://www.g2.com/compare/cloudera-vs-google-cloud-bigquery)
- [Google Cloud BigQuery vs Amazon Redshift](https://www.g2.com/compare/amazon-redshift-vs-google-cloud-bigquery)
- [Google Cloud BigQuery vs Teradata Autonomous Knowledge Platform](https://www.g2.com/compare/google-cloud-bigquery-vs-teradata-autonomous-knowledge-platform)
- [Google Cloud BigQuery vs Azure Synapse Analytics](https://www.g2.com/compare/azure-synapse-analytics-vs-google-cloud-bigquery)
- [Google Cloud BigQuery vs Alteryx](https://www.g2.com/compare/alteryx-vs-google-cloud-bigquery)

  ### 4. [Starburst](https://www.g2.com/products/starburst/reviews)
By Starburst
**Average Rating:** 4.4/5
**Total Reviews:** 92
Starburst provides an enterprise ready distribution and support of Presto. Starburst offers a full-featured data lake analytics platform that allows you to discover, manage, and consume the data in and around your data lake.


Reviewers say compared to Dremio, Starburst is:
- Easier to admin
- Better at support
- More expensive
Categories in common with Dremio: [Big Data Processing and Distribution](https://www.g2.com/categories/big-data-processing-and-distribution), [Big Data Analytics](https://www.g2.com/categories/big-data-analytics), [Data Warehouse](https://www.g2.com/categories/data-warehouse)

**Compare:** [Dremio vs Starburst](https://www.g2.com/compare/dremio-vs-starburst)
**Compare Starburst with other alternatives:**
- [Starburst vs Databricks](https://www.g2.com/compare/databricks-vs-starburst)
- [Starburst vs Snowflake](https://www.g2.com/compare/snowflake-vs-starburst)
- [Starburst vs Google Cloud BigQuery](https://www.g2.com/compare/google-cloud-bigquery-vs-starburst)
- [Starburst vs Denodo](https://www.g2.com/compare/denodo-vs-starburst)
- [Starburst vs Cloudera](https://www.g2.com/compare/cloudera-vs-starburst)
- [Starburst vs Amazon Redshift](https://www.g2.com/compare/amazon-redshift-vs-starburst)
- [Starburst vs Teradata Autonomous Knowledge Platform](https://www.g2.com/compare/starburst-vs-teradata-autonomous-knowledge-platform)
- [Starburst vs Azure Synapse Analytics](https://www.g2.com/compare/azure-synapse-analytics-vs-starburst)
- [Starburst vs Alteryx](https://www.g2.com/compare/alteryx-vs-starburst)

  ### 5. [Denodo](https://www.g2.com/products/denodo/reviews)
By Denodo
**Average Rating:** 4.3/5
**Total Reviews:** 47
Denodo provides performance and unified access to the broadest range of enterprise, Big Data, cloud and unstructured sources.


Reviewers say compared to Dremio, Denodo is:
- More expensive
Categories in common with Dremio: [Big Data Processing and Distribution](https://www.g2.com/categories/big-data-processing-and-distribution), [Data Warehouse](https://www.g2.com/categories/data-warehouse), [Semantic Layer Tools](https://www.g2.com/categories/semantic-layer-tools)

**Compare:** [Dremio vs Denodo](https://www.g2.com/compare/denodo-vs-dremio)
**Compare Denodo with other alternatives:**
- [Denodo vs Databricks](https://www.g2.com/compare/databricks-vs-denodo)
- [Denodo vs Snowflake](https://www.g2.com/compare/denodo-vs-snowflake)
- [Denodo vs Google Cloud BigQuery](https://www.g2.com/compare/denodo-vs-google-cloud-bigquery)
- [Denodo vs Starburst](https://www.g2.com/compare/denodo-vs-starburst)
- [Denodo vs Cloudera](https://www.g2.com/compare/cloudera-vs-denodo)
- [Denodo vs Amazon Redshift](https://www.g2.com/compare/amazon-redshift-vs-denodo)
- [Denodo vs Teradata Autonomous Knowledge Platform](https://www.g2.com/compare/denodo-vs-teradata-autonomous-knowledge-platform)
- [Denodo vs Azure Synapse Analytics](https://www.g2.com/compare/azure-synapse-analytics-vs-denodo)
- [Denodo vs Alteryx](https://www.g2.com/compare/alteryx-vs-denodo)

  ### 6. [Cloudera](https://www.g2.com/products/cloudera/reviews)
By Cloudera
**Average Rating:** 4.1/5
**Total Reviews:** 136
Cloudera Enterprise Core provides a single Hadoop storage and management platform that natively combines storage, processing and exploration for the enterprise.


Reviewers say compared to Dremio, Cloudera is:
- Easier to admin
- More expensive
Categories in common with Dremio: [Big Data Processing and Distribution](https://www.g2.com/categories/big-data-processing-and-distribution), [Big Data Analytics](https://www.g2.com/categories/big-data-analytics), [Data Warehouse](https://www.g2.com/categories/data-warehouse)

**Compare:** [Dremio vs Cloudera](https://www.g2.com/compare/cloudera-vs-dremio)
**Compare Cloudera with other alternatives:**
- [Cloudera vs Databricks](https://www.g2.com/compare/cloudera-vs-databricks)
- [Cloudera vs Snowflake](https://www.g2.com/compare/cloudera-vs-snowflake)
- [Cloudera vs Google Cloud BigQuery](https://www.g2.com/compare/cloudera-vs-google-cloud-bigquery)
- [Cloudera vs Starburst](https://www.g2.com/compare/cloudera-vs-starburst)
- [Cloudera vs Denodo](https://www.g2.com/compare/cloudera-vs-denodo)
- [Cloudera vs Amazon Redshift](https://www.g2.com/compare/amazon-redshift-vs-cloudera)
- [Cloudera vs Teradata Autonomous Knowledge Platform](https://www.g2.com/compare/cloudera-vs-teradata-autonomous-knowledge-platform)
- [Cloudera vs Azure Synapse Analytics](https://www.g2.com/compare/azure-synapse-analytics-vs-cloudera)
- [Cloudera vs Alteryx](https://www.g2.com/compare/alteryx-vs-cloudera)

  ### 7. [Amazon Redshift](https://www.g2.com/products/amazon-redshift/reviews)
By Amazon Web Services (AWS)
**Average Rating:** 4.3/5
**Total Reviews:** 402
Amazon Redshift is a fast, fully managed data warehouse that makes it simple and cost-effective to analyze all your data using standard SQL and your existing Business Intelligence (BI) tools.


Reviewers say compared to Dremio, Amazon Redshift is:
- Easier to admin
- More expensive
- Easier to set up
Categories in common with Dremio: [Data Warehouse](https://www.g2.com/categories/data-warehouse)

**Compare:** [Dremio vs Amazon Redshift](https://www.g2.com/compare/amazon-redshift-vs-dremio)
**Compare Amazon Redshift with other alternatives:**
- [Amazon Redshift vs Databricks](https://www.g2.com/compare/amazon-redshift-vs-databricks)
- [Amazon Redshift vs Snowflake](https://www.g2.com/compare/amazon-redshift-vs-snowflake)
- [Amazon Redshift vs Google Cloud BigQuery](https://www.g2.com/compare/amazon-redshift-vs-google-cloud-bigquery)
- [Amazon Redshift vs Starburst](https://www.g2.com/compare/amazon-redshift-vs-starburst)
- [Amazon Redshift vs Denodo](https://www.g2.com/compare/amazon-redshift-vs-denodo)
- [Amazon Redshift vs Cloudera](https://www.g2.com/compare/amazon-redshift-vs-cloudera)
- [Amazon Redshift vs Teradata Autonomous Knowledge Platform](https://www.g2.com/compare/amazon-redshift-vs-teradata-autonomous-knowledge-platform)
- [Amazon Redshift vs Azure Synapse Analytics](https://www.g2.com/compare/amazon-redshift-vs-azure-synapse-analytics)
- [Amazon Redshift vs Alteryx](https://www.g2.com/compare/alteryx-vs-amazon-redshift)

  ### 8. [Teradata Autonomous Knowledge Platform](https://www.g2.com/products/teradata-autonomous-knowledge-platform/reviews)
By Teradata Autonomous Knowledge Platform
**Average Rating:** 4.3/5
**Total Reviews:** 377
Teradata Autonomous Knowledge Platform easily and efficiently handles complex data requirements and simplifies management of the data warehouse environment.


Reviewers say compared to Dremio, Teradata Autonomous Knowledge Platform is:
- More expensive
- Easier to admin
- Better at meeting requirements
Categories in common with Dremio: [Big Data Processing and Distribution](https://www.g2.com/categories/big-data-processing-and-distribution), [Big Data Analytics](https://www.g2.com/categories/big-data-analytics), [Data Warehouse](https://www.g2.com/categories/data-warehouse)

**Compare:** [Dremio vs Teradata Autonomous Knowledge Platform](https://www.g2.com/compare/dremio-vs-teradata-autonomous-knowledge-platform)
**Compare Teradata Autonomous Knowledge Platform with other alternatives:**
- [Teradata Autonomous Knowledge Platform vs Databricks](https://www.g2.com/compare/databricks-vs-teradata-autonomous-knowledge-platform)
- [Teradata Autonomous Knowledge Platform vs Snowflake](https://www.g2.com/compare/snowflake-vs-teradata-autonomous-knowledge-platform)
- [Teradata Autonomous Knowledge Platform vs Google Cloud BigQuery](https://www.g2.com/compare/google-cloud-bigquery-vs-teradata-autonomous-knowledge-platform)
- [Teradata Autonomous Knowledge Platform vs Starburst](https://www.g2.com/compare/starburst-vs-teradata-autonomous-knowledge-platform)
- [Teradata Autonomous Knowledge Platform vs Denodo](https://www.g2.com/compare/denodo-vs-teradata-autonomous-knowledge-platform)
- [Teradata Autonomous Knowledge Platform vs Cloudera](https://www.g2.com/compare/cloudera-vs-teradata-autonomous-knowledge-platform)
- [Teradata Autonomous Knowledge Platform vs Amazon Redshift](https://www.g2.com/compare/amazon-redshift-vs-teradata-autonomous-knowledge-platform)
- [Teradata Autonomous Knowledge Platform vs Azure Synapse Analytics](https://www.g2.com/compare/azure-synapse-analytics-vs-teradata-autonomous-knowledge-platform)
- [Teradata Autonomous Knowledge Platform vs Alteryx](https://www.g2.com/compare/alteryx-vs-teradata-autonomous-knowledge-platform)

  ### 9. [Azure Synapse Analytics](https://www.g2.com/products/azure-synapse-analytics/reviews)
By Microsoft
**Average Rating:** 4.4/5
**Total Reviews:** 38
Azure Synapse Analytics is a cloud-based Enterprise Data Warehouse (EDW) that leverages Massively Parallel Processing (MPP) to quickly run complex queries across petabytes of data.


Reviewers say compared to Dremio, Azure Synapse Analytics is:
- More expensive
- Easier to admin
- Easier to set up
Categories in common with Dremio: [Big Data Processing and Distribution](https://www.g2.com/categories/big-data-processing-and-distribution), [Big Data Analytics](https://www.g2.com/categories/big-data-analytics)

**Compare:** [Dremio vs Azure Synapse Analytics](https://www.g2.com/compare/azure-synapse-analytics-vs-dremio)
**Compare Azure Synapse Analytics with other alternatives:**
- [Azure Synapse Analytics vs Databricks](https://www.g2.com/compare/azure-synapse-analytics-vs-databricks)
- [Azure Synapse Analytics vs Snowflake](https://www.g2.com/compare/azure-synapse-analytics-vs-snowflake)
- [Azure Synapse Analytics vs Google Cloud BigQuery](https://www.g2.com/compare/azure-synapse-analytics-vs-google-cloud-bigquery)
- [Azure Synapse Analytics vs Starburst](https://www.g2.com/compare/azure-synapse-analytics-vs-starburst)
- [Azure Synapse Analytics vs Denodo](https://www.g2.com/compare/azure-synapse-analytics-vs-denodo)
- [Azure Synapse Analytics vs Cloudera](https://www.g2.com/compare/azure-synapse-analytics-vs-cloudera)
- [Azure Synapse Analytics vs Amazon Redshift](https://www.g2.com/compare/amazon-redshift-vs-azure-synapse-analytics)
- [Azure Synapse Analytics vs Teradata Autonomous Knowledge Platform](https://www.g2.com/compare/azure-synapse-analytics-vs-teradata-autonomous-knowledge-platform)
- [Azure Synapse Analytics vs Alteryx](https://www.g2.com/compare/alteryx-vs-azure-synapse-analytics)

  ### 10. [Alteryx](https://www.g2.com/products/alteryx/reviews)
By Alteryx
**Average Rating:** 4.6/5
**Total Reviews:** 868
Alteryx drives transformational business outcomes through unified analytics, data science, and process automation.


Reviewers say compared to Dremio, Alteryx is:
- More expensive
- Easier to admin
- Better at meeting requirements
Categories in common with Dremio: [Big Data Analytics](https://www.g2.com/categories/big-data-analytics)

**Compare:** [Dremio vs Alteryx](https://www.g2.com/compare/alteryx-vs-dremio)
**Compare Alteryx with other alternatives:**
- [Alteryx vs Databricks](https://www.g2.com/compare/alteryx-vs-databricks)
- [Alteryx vs Snowflake](https://www.g2.com/compare/alteryx-vs-snowflake)
- [Alteryx vs Google Cloud BigQuery](https://www.g2.com/compare/alteryx-vs-google-cloud-bigquery)
- [Alteryx vs Starburst](https://www.g2.com/compare/alteryx-vs-starburst)
- [Alteryx vs Denodo](https://www.g2.com/compare/alteryx-vs-denodo)
- [Alteryx vs Cloudera](https://www.g2.com/compare/alteryx-vs-cloudera)
- [Alteryx vs Amazon Redshift](https://www.g2.com/compare/alteryx-vs-amazon-redshift)
- [Alteryx vs Teradata Autonomous Knowledge Platform](https://www.g2.com/compare/alteryx-vs-teradata-autonomous-knowledge-platform)
- [Alteryx vs Azure Synapse Analytics](https://www.g2.com/compare/alteryx-vs-azure-synapse-analytics)


---
## Dremio Alternatives FAQs

### Which Big Data Processing and Distribution tools do reviewers recommend instead of Dremio?

Reviewers recommend [Databricks](https://www.g2.com/products/databricks/reviews) for its unified platform combining data engineering, analytics, and machine learning with collaborative notebooks and managed Spark clusters, delivering fast processing and strong AI/ML integration. [Snowflake](https://www.g2.com/products/snowflake/reviews) is favored for its ease of use, elastic scaling, secure data sharing, and separation of compute and storage, enabling efficient large-scale analytics and AI integration. [Google Cloud BigQuery](https://www.g2.com/products/google-cloud-bigquery/reviews) is praised for its serverless architecture, fast query performance on massive datasets, seamless integration with Google Cloud services, and built-in machine learning capabilities. [Starburst](https://www.g2.com/products/starburst/reviews) is recommended for its high-performance federated querying across multiple data sources without data movement, strong security and governance features, and broad ecosystem support. [Denodo](https://www.g2.com/products/denodo/reviews) is noted for its data virtualization capabilities, enabling real-time access to diverse data sources without replication, simplifying data integration and governance. [Cloudera Data Platform](https://www.g2.com/products/cloudera-cloudera-data-platform/reviews) is valued for its comprehensive big data ecosystem, integrating core components like Spark, Hive, and Kafka with strong security and governance, suitable for enterprise-scale workloads. These alternatives provide features and capabilities that address Dremio's limitations, especially in AI/ML integration, real-time analytics, and ease of administration, making them preferred choices among reviewers for big data processing and distribution needs.



### How does Dremio compare to Databricks?

According to G2 data, both [Dremio](https://www.g2.com/products/dremio/reviews) and [Databricks](https://www.g2.com/products/databricks/reviews) hold an equal average rating of 4.6 out of 5, with Databricks having a significantly larger review base (803 reviews) compared to Dremio's 70. Databricks leads Dremio in key usability and administrative dimensions: it scores 0.3 points higher in Meeting Requirements (9.0 vs 8.7), 0.3 points higher in Ease of Setup (8.7 vs 8.4), 0.6 points higher in Ease of Admin (8.4 vs 7.8), and 0.3 points higher in Better Support (8.8 vs 8.5). Conversely, Dremio scores 0.3 points higher in Usability (9.2 vs 8.9) and 0.2 points higher in Ease of Doing Business (9.1 vs 8.9). Feature-wise, Databricks offers AI/ML integration, in-database machine learning, and user access control features that Dremio does not provide. Dremio's strengths lie in ease of use, cloud integration, and performance, with users frequently praising its SQL support, speed, and ability to handle large datasets efficiently. Databricks users highlight its comprehensive feature set, scalability, collaboration capabilities, and strong machine learning integration. Overall, Databricks is favored for its unified platform combining data engineering, analytics, and AI/ML with strong governance and collaboration tools, making it suitable for large-scale, complex workloads. Dremio appeals to users seeking flexible SQL querying and data virtualization with easier setup and usability for certain use cases. Both platforms have areas for improvement in UI and documentation, but Databricks' broader feature set and higher administrative scores position it as the more comprehensive solution according to G2 data.



### Why do users choose Databricks over Dremio?

Users choose [Databricks](https://www.g2.com/products/databricks/reviews) over Dremio primarily for its comprehensive, unified platform that integrates data engineering, analytics, and machine learning workflows. Databricks excels in scalability and collaboration, with 192 mentions of features and 106 mentions of ML integration, making it highly suitable for large-scale data processing and AI-driven projects. Its managed Spark clusters and auto-scaling capabilities reduce infrastructure overhead, enabling teams to focus on development rather than cluster management. Databricks also offers advanced governance through Unity Catalog, fine-grained access controls, and strong integration with cloud services and BI tools, which are critical for enterprise environments. The collaborative notebooks supporting multiple languages (Python, SQL, Scala) and built-in MLflow integration streamline experimentation and deployment, enhancing productivity and reducing tool sprawl. Despite a steeper learning curve and higher cost concerns (71 mentions of expense), users value Databricks for its ability to consolidate multiple data workflows into a single platform, significantly improving operational efficiency and accelerating time to insight. Its AI-powered features like Genie and AgentBricks further differentiate it by enabling natural language querying and AI-assisted code generation, which are not available in Dremio. These factors drive users to prefer Databricks when advanced analytics, machine learning, and enterprise-grade governance are priorities.



### What are the best alternatives to Dremio?

The best alternatives to Dremio include [Databricks](https://www.g2.com/products/databricks/reviews) (4.6/5 with 803 reviews), [Snowflake](https://www.g2.com/products/snowflake/reviews) (4.5/5 with 756 reviews), and [Google Cloud BigQuery](https://www.g2.com/products/google-cloud-bigquery/reviews) (4.5/5 with 1227 reviews). These platforms offer comprehensive big data processing and analytics capabilities with strong user satisfaction and extensive review counts. Other notable alternatives are [Starburst](https://www.g2.com/products/starburst/reviews), [Denodo](https://www.g2.com/products/denodo/reviews), and [Cloudera Data Platform](https://www.g2.com/products/cloudera-cloudera-data-platform/reviews).



### What features do alternatives offer that Dremio does not?

Dremio lacks native AI/ML integration, in-database machine learning, user access control, real-time analytics, real-time data collection, data distribution, data lake capabilities, and Spark integration, which are available in several alternatives.




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- [Cloud Content Collaboration Software](https://www.g2.com/categories/cloud-content-collaboration)
- [Knowledge Base Software](https://www.g2.com/categories/knowledge-base-software)
- [Experience Management Software](https://www.g2.com/categories/experience-management)