# Top 10 Starburst Alternatives & Competitors

(104)4.4 out of 5

Starburst is one of the most-searched tools in the Big Data Analytics Software category on G2. Big Data Analytics Software is used by teams seeking quick, secure platforms with features like notebooks, embedded analytics, and spark integration, according to G2 reviews. When comparing Starburst with other tools, reviewers most often evaluate analytics and data sources as key differentiators.   
 The best overall alternative to Starburst is [Dremio](https://www.g2.com/products/dremio/reviews), rated ~4.6 stars on G2 from 65+ reviewers. It is frequently praised for performance and sql support. Other well-known alternatives to Starburst are: 
- [Databricks](https://www.g2.com/products/databricks/reviews) – known for collaboration and analytics (G2 star rating ~4.6)
- [Snowflake](https://www.g2.com/products/snowflake/reviews) – highly rated for data management and performance (G2 star rating ~4.6)
- [Denodo](https://www.g2.com/products/denodo/reviews) – offers connectors and data cataloging (G2 star rating ~4.3)
- [Google Cloud BigQuery](https://www.g2.com/products/google-cloud-bigquery/reviews) – best suited for teams that need speed and fast querying (G2 star rating ~4.5)

 Browse top options below. Based on G2 review data, Starburst is most commonly used in industries like [Big Data Analytics Software](https://www.g2.com/categories/big-data-analytics), [Data Warehouse Solutions](https://www.g2.com/categories/data-warehouse), [Big Data Processing And Distribution Systems](https://www.g2.com/categories/big-data-processing-and-distribution). Compare user ratings by vertical to find the best fit.

## Best Paid & Free Alternatives to Starburst

- Dremio
- Databricks
- Snowflake
- Denodo
- Google Cloud BigQuery
- Teradata Autonomous Knowledge Platform
- Amazon Redshift
- Microsoft SQL Server

## Top 10 Alternatives to Starburst Recently Reviewed By G2 Community

Browse options below. Based on reviewer data, you can see how Starburst stacks up to the competition, check reviews from current & previous users in industries like Information Technology and Services, Computer Software, and Hospital & Health Care, and find the best product for your business.

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[
 ![Product Avatar Image](https://images.g2crowd.com/uploads/product/image/d09f089519d1c3564aba96fb252fc66b/dremio.jpg "Product Avatar Image")
](https://www.g2.com/products/dremio/reviews)

[
Dremio
](https://www.g2.com/products/dremio/reviews)

By [Dremio](https://www.g2.com/sellers/dremio)

[

4.6/5(71)

](https://www.g2.com/products/dremio/reviews#reviews)

Product Description

Dremio is a data analysis software. It is self-service data platform provided that users discover, accelerate and share data at any time.

Reviewers say compared to Starburst, Dremio is:

Slower to reach roi

More usable

Easier to do business with

Categories in common with Starburst:

[
Big Data Analytics
](/categories/big-data-analytics)[
Data Warehouse
](/categories/data-warehouse)[
Big Data Processing and Distribution
](/categories/big-data-processing-and-distribution)

[
 ![Product Avatar Image](https://images.g2crowd.com/uploads/product/image/a6c205d533dba77b318af96d91beb2ac/databricks.jpeg "Product Avatar Image")
](https://www.g2.com/products/databricks/reviews)

[
Databricks
](https://www.g2.com/products/databricks/reviews)

By [Databricks Inc.](https://www.g2.com/sellers/databricks-inc)

[

4.6/5(1,363)

](https://www.g2.com/products/databricks/reviews#reviews)

Product Description

Making big data simple

Reviewers say compared to Starburst, Databricks is:

More expensive

Better at meeting requirements

Easier to set up

Categories in common with Starburst:

[
Big Data Analytics
](/categories/big-data-analytics)[
Data Warehouse
](/categories/data-warehouse)[
Big Data Processing and Distribution
](/categories/big-data-processing-and-distribution)

[
 ![Product Avatar Image](https://images.g2crowd.com/uploads/product/image/2b00e05c107c3273cea5264090c3c1d0/snowflake.jpg "Product Avatar Image")
](https://www.g2.com/products/snowflake/reviews)

[
Snowflake
](https://www.g2.com/products/snowflake/reviews)

By [Snowflake, Inc.](https://www.g2.com/sellers/snowflake-inc)

[

4.6/5(764)

](https://www.g2.com/products/snowflake/reviews#reviews)

Product Description

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 Starburst, Snowflake is:

Easier to set up

Better at meeting requirements

Easier to admin

Categories in common with Starburst:

[
Big Data Analytics
](/categories/big-data-analytics)[
Data Warehouse
](/categories/data-warehouse)[
Big Data Processing and Distribution
](/categories/big-data-processing-and-distribution)

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Sponsored

G2 Advertising

Get 2x conversion than Google Ads with G2 Advertising!

G2 Advertising places your product in premium positions on high-traffic pages and on targeted competitor pages to reach buyers at key comparison moments.

[
Learn More
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[
 ![Product Avatar Image](https://images.g2crowd.com/uploads/product/image/18f10ac25966c6ac7bf78e59f9b3bd6e/denodo.jpeg "Product Avatar Image")
](https://www.g2.com/products/denodo/reviews)

[
Denodo
](https://www.g2.com/products/denodo/reviews)

By [Denodo](https://www.g2.com/sellers/denodo)

[

4.3/5(47)

](https://www.g2.com/products/denodo/reviews#reviews)

Product Description

Denodo provides performance and unified access to the broadest range of enterprise, Big Data, cloud and unstructured sources.

Categories in common with Starburst:

[
Data Warehouse
](/categories/data-warehouse)[
Big Data Processing and Distribution
](/categories/big-data-processing-and-distribution)

[
 ![Product Avatar Image](https://images.g2crowd.com/uploads/product/image/96b275379465d759df5bffd0099d849a/google-cloud-bigquery.png "Product Avatar Image")
](https://www.g2.com/products/google-cloud-bigquery/reviews)

[
Google Cloud BigQuery
](https://www.g2.com/products/google-cloud-bigquery/reviews)

By [Google](https://www.g2.com/sellers/google)

[

4.5/5(1,224)

](https://www.g2.com/products/google-cloud-bigquery/reviews#reviews)

Product Description

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 Starburst, Google Cloud BigQuery is:

Easier to set up

Easier to admin

Categories in common with Starburst:

[
Big Data Analytics
](/categories/big-data-analytics)[
Data Warehouse
](/categories/data-warehouse)[
Big Data Processing and Distribution
](/categories/big-data-processing-and-distribution)

[
 ![Product Avatar Image](https://images.g2crowd.com/uploads/product/image/ce723ad59ccdd9d49948ce2bea0cc4cc/teradata-autonomous-knowledge-platform.jpg "Product Avatar Image")
](https://www.g2.com/products/teradata-autonomous-knowledge-platform/reviews)

[
Teradata Autonomous Knowledge Platform
](https://www.g2.com/products/teradata-autonomous-knowledge-platform/reviews)

By [Teradata Autonomous Knowledge Platform](https://www.g2.com/sellers/teradata-autonomous-knowledge-platform)

[

4.3/5(376)

](https://www.g2.com/products/teradata-autonomous-knowledge-platform/reviews#reviews)

Product Description

Teradata Autonomous Knowledge Platform easily and efficiently handles complex data requirements and simplifies management of the data warehouse environment.

Reviewers say compared to Starburst, Teradata Autonomous Knowledge Platform is:

More expensive

Categories in common with Starburst:

[
Big Data Analytics
](/categories/big-data-analytics)[
Data Warehouse
](/categories/data-warehouse)[
Big Data Processing and Distribution
](/categories/big-data-processing-and-distribution)

[
 ![Product Avatar Image](https://images.g2crowd.com/uploads/product/image/b3390b4cc3d92e87d570895f7358c003/amazon-redshift.jpg "Product Avatar Image")
](https://www.g2.com/products/amazon-redshift/reviews)

[
Amazon Redshift
](https://www.g2.com/products/amazon-redshift/reviews)

By [Amazon Web Services (AWS)](https://www.g2.com/sellers/amazon-web-services-aws-3e93cc28-2e9b-4961-b258-c6ce0feec7dd)

[

4.3/5(404)

](https://www.g2.com/products/amazon-redshift/reviews#reviews)

Product Description

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 Starburst, Amazon Redshift is:

Slower to reach roi

Easier to set up

Categories in common with Starburst:

[
Data Warehouse
](/categories/data-warehouse)

[
 ![Product Avatar Image](https://images.g2crowd.com/uploads/product/image/0d3b67827912f22174857de9475977c9/microsoft-sql-server.jpg "Product Avatar Image")
](https://www.g2.com/products/microsoft-sql-server/reviews)

[
Microsoft SQL Server
](https://www.g2.com/products/microsoft-sql-server/reviews)

By [Microsoft](https://www.g2.com/sellers/microsoft)

[

4.4/5(2,286)

](https://www.g2.com/products/microsoft-sql-server/reviews#reviews)

Product Description

SQL Server 2017 brings the power of SQL Server to Windows, Linux and Docker containers for the first time ever, enabling developers to build intelligent applications using their preferred language and environment. Experience industry-leading performance, rest assured with innovative security features, transform your business with AI built-in, and deliver insights wherever your users are with mobile BI.

Reviewers say compared to Starburst, Microsoft SQL Server is:

Slower to reach roi

More expensive

Better at meeting requirements

Categories in common with Starburst:

[
Big Data Processing and Distribution
](/categories/big-data-processing-and-distribution)

[
 ![Product Avatar Image](https://images.g2crowd.com/uploads/product/image/2c6c77d8284b2f6609c2f9dc0ba6b5a9/alteryx.png "Product Avatar Image")
](https://www.g2.com/products/alteryx/reviews)

[
Alteryx
](https://www.g2.com/products/alteryx/reviews)

By [Alteryx](https://www.g2.com/sellers/alteryx)

[

4.6/5(893)

](https://www.g2.com/products/alteryx/reviews#reviews)

Product Description

Alteryx drives transformational business outcomes through unified analytics, data science, and process automation.

Reviewers say compared to Starburst, Alteryx is:

More expensive

Easier to set up

Categories in common with Starburst:

[
Big Data Analytics
](/categories/big-data-analytics)

[
 ![Product Avatar Image](https://images.g2crowd.com/uploads/product/image/e1415804e9c2f68745c0263dff60bd69/posit-team.png "Product Avatar Image")
](https://www.g2.com/products/posit-team/reviews)

[
Posit Team
](https://www.g2.com/products/posit-team/reviews)

By [Posit](https://www.g2.com/sellers/posit)

[

4.5/5(575)

](https://www.g2.com/products/posit-team/reviews#reviews)

Product Description

In addition to our open-source data science software, RStudio produces RStudio Team, a unique, modular platform of enterprise-ready professional software products that enable teams to adopt R, Python, and other open-source data science software at scale.

Reviewers say compared to Starburst, Posit Team is:

Easier to set up

Better at meeting requirements

Categories in common with Starburst:

[
Big Data Processing and Distribution
](/categories/big-data-processing-and-distribution)

## Starburst Alternatives FAQs

Generated using AI

### How does Starburst compare to Dremio?

According to G2 data, [Starburst](https://www.g2.com/products/starburst/reviews) holds an average rating of 4.4/5 from 92 reviews, while [Dremio](https://www.g2.com/products/dremio/reviews) has a slightly higher average rating of 4.6/5 from 70 reviews. In dimension scores, Starburst leads Dremio by 0.6 points in Better at Support (9.1 vs 8.5) and by 0.7 points in Easier to Admin (8.5 vs 7.8). Dremio holds a marginal 0.1-point advantage in More Usable (9.2 vs 9.1) and Easier to Do Business With (9.1 vs 9.0), while Starburst leads by 0.3 points in Easier to Set Up (8.5 vs 8.4) and 0.1 points in Better at Meeting Requirements (8.8 vs 8.7). Feature-wise, Starburst offers AI/ML Integration, Data Distribution, Data Lake, and User Access Control features that Dremio does not provide. User sentiment highlights Starburst's strengths in fast querying (20 mentions), query efficiency (18 mentions), integrations (17 mentions), and ease of use (15 mentions). Conversely, Dremio's pros include interface ease-of-use (4 mentions), ease of use (4 mentions), and integrations (3 mentions). Both products face challenges with learning curve and documentation, but Starburst has more mentions of query and performance issues, while Dremio's cons include occasional UI clunkiness and slower customer support responses. Overall, Starburst excels in support, administration, and advanced features like AI/ML integration, while Dremio is favored for usability and slightly higher user ratings, making each suitable depending on organizational priorities.

### What are the best alternatives to Starburst?

The best alternatives to Starburst are [Dremio](https://www.g2.com/products/dremio/reviews) (4.6/5 stars, 70 reviews), [Databricks](https://www.g2.com/products/databricks/reviews) (4.6/5 stars, 801 reviews), and [Snowflake](https://www.g2.com/products/snowflake/reviews) (4.5/5 stars, 756 reviews). Dremio excels in ease of use, query acceleration, and cost efficiency with features like data reflections and virtual datasets. Databricks offers a unified platform for data engineering, analytics, and machine learning with collaborative notebooks, Delta Lake for reliable data management, and AI-assisted code generation. Snowflake provides a fully managed cloud data warehouse with elastic scaling, strong data sharing capabilities, AI integrations (e.g., Cortex AI), and a user-friendly interface with advanced features like time travel and zero-copy cloning.

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

Starburst lacks built-in data processing and orchestration mechanisms, advanced monitoring and alerting features (e.g., integration with Slack or PagerDuty), AI-driven query optimization, and comprehensive catalog management automation. It also does not provide declarative role management via infrastructure as code tools like Terraform, nor does it offer integrated machine learning lifecycle management or native AI capabilities.

### Which Big Data Analytics tools do reviewers recommend instead of Starburst?

Reviewers recommend [Dremio](https://www.g2.com/products/dremio/reviews) for its fast, easy-to-use SQL engine, seamless integration with multiple data sources, and cost-effective performance acceleration. [Databricks](https://www.g2.com/products/databricks/reviews) is favored for its unified data and AI workflows, collaborative notebooks, robust machine learning lifecycle support, and scalable Spark engine. [Snowflake](https://www.g2.com/products/snowflake/reviews) is praised for its scalability, separation of compute and storage, secure data sharing, and AI-enhanced analytics capabilities. [Denodo](https://www.g2.com/products/denodo/reviews) is noted for its data virtualization capabilities, real-time integration without data movement, and ease of use in connecting heterogeneous data sources. These tools provide features and user experiences that complement or exceed Starburst’s offerings, particularly in orchestration, AI integration, and ease of administration.

### Why do users choose Dremio over Starburst?

Users choose [Dremio](https://www.g2.com/products/dremio/reviews) over Starburst primarily for its ease of use and faster onboarding experience. Dremio is praised for its straightforward setup, with multiple reviews noting minimal setup headaches and quick connection to various data sources. Its interface is described as intuitive and user-friendly, with a SQL editor that users find superior and flexible for ad-hoc analysis and big data exploration. Dremio's cloud-native architecture with elastic compute scaling and managed service options on AWS and Azure also appeals to users seeking scalable and modern deployment. Additionally, Dremio's data reflections feature, acting as an intelligent caching layer, significantly accelerates query performance and dashboard refreshes, which users find valuable for BI workloads. The platform's strong integration with popular BI tools like Power BI and Tableau enhances its appeal for organizations focused on seamless data visualization workflows. Users also appreciate Dremio's support for a wide array of data sources including relational, NoSQL, and cloud storage without complex ETL pipelines, reducing engineering overhead. While Dremio has a learning curve and some administrative complexity, its combination of speed, flexibility, and ease of integration makes it a preferred choice for teams prioritizing rapid deployment, user-friendly interfaces, and efficient big data management, as reflected in its 4.6-star rating across 70 reviews on G2.

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