Sold by: Starburst
Deployed on AWS
Starburst Galaxy offers a full-featured data lake analytics platform that allows you to discover, manage, and consume the data in and around your data lake.
4.3
Overview
Starburst Galaxy is a fully managed data lake analytics platform designed for large and complex data sets in and around your cloud data lake. It is the easiest and fastest way for you to start running queries at interactive speeds across data sources using the business intelligence and analytics tools you already know.
Starburst Galaxy takes just minutes to set up and takes care of the heavy lifting of designing, provisioning, maintaining, and securing your Trino infrastructure. In addition, Galaxy offers proprietary features such as fully managed connectors, global search, schema discovery, monitoring and metrics, and data sharing with data products that allow your data teams to focus on generating unique insights from your data - not managing and building analytics infrastructure.
Highlights
- Simplicity - Starburst Galaxy lets you discover, govern, and prepare your data from a single, fully-managed platform. Future-proof your architecture with a single point of access and governance to all your data, including RBAC and ABAC capabilities.
- Scalability - Built on top of a query engine designed to run at internet-scale, Starburst Galaxy automatically scales your infrastructure to the needs of your workload in just a few clicks.
- Optionality - Starburst Galaxy works with any data storage and table format, so you never have to worry about locking yourself into a proprietary data ecosystem.
Details
Sold by
Delivery method
Deployed on AWS
New
Introducing multi-product solutions
You can now purchase comprehensive solutions tailored to use cases and industries.
Features and programs
Buyer guide
Gain valuable insights from real users who purchased this product, powered by PeerSpot.
Financing for AWS Marketplace purchases
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
Pricing
Pricing is based on the duration and terms of your contract with the vendor, and additional usage. You pay upfront or in installments according to your contract terms with the vendor. This entitles you to a specified quantity of use for the contract duration. Usage-based pricing is in effect for overages or additional usage not covered in the contract. These charges are applied on top of the contract price. If you choose not to renew or replace your contract before the contract end date, access to your entitlements will expire.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimensions summary
This listing bills through two contract dimensions. The Standard Tier uses pay-as-you-go pricing, so your cost tracks the compute you consume for analytics workloads. The Usage fee dimension applies charges based on measured usage. Both dimensions scale with how much you run rather than a fixed seat or server count. Query efficiency, workload isolation, and reduced data movement all lower how much usage you accrue. You are not choosing between fixed tiers here; you commit under contract and pay according to actual consumption over the term.
Top-of-mind questions for buyers
Cost tracks the compute you consume for analytics workloads. You pay based on how much you query and run, not a fixed seat or server count. Improving query efficiency, isolating workloads, and reducing data movement all lower the compute you accrue, which lowers your bill.
Charges follow compute consumption for analytics workloads. When you run fewer or lighter queries, you accrue less usage and pay less. Because pricing is usage-based, idle periods with no active compute do not add the same charges as heavy query activity over the contract term.
Both dimensions bill on consumption rather than fixed quantities. The Standard Tier applies pay-as-you-go pricing tied to compute used, while the Usage fee charges against measured usage. Your total reflects actual analytics activity over the contract term rather than a preset seat or server commitment.
www.starburst.io
Helpful?
Vendor refund policy
No refunds.
Custom pricing options
Request a private offer to receive a custom quote.
Legal
Vendor terms and conditions
Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA) .
Content disclaimer
Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.
Delivery details
Software as a Service (SaaS)
SaaS delivers cloud-based software applications directly to customers over the internet. You can access these applications through a subscription model. You will pay recurring monthly usage fees through your AWS bill, while AWS handles deployment and infrastructure management, ensuring scalability, reliability, and seamless integration with other AWS services.
Resources
Vendor resources
Support
Vendor support
Get help directly from Starburst in the Starburst Galaxy UI by using our chat app. You can use the app to get answers to frequently asked questions, chat with a support agent, and search our knowledge base. For free, on-demand training, visit Starburst Academy. Docs: https://docs.starburst.io/starburst-galaxy/index.html Support Packages:
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
Updated weekly
By Starburst
By ChaosSearch, Inc.
By Databricks, Inc.
Top
25
In Databases & Analytics Platforms, Business Intelligence & Advanced Analytics, Data Analytics
Top
100
In Log Analysis, Analytic Platforms
Top
10
In Databases & Analytics Platforms, ML Solutions, Data Analytics
Sentiment is AI generated from actual customer reviews on AWS and G2
Functionality
Ease of use
Customer service
Cost effectiveness
Positive reviews
Mixed reviews
Negative reviews
AI generated from product descriptions
Query Engine Architecture
Built on Trino query engine designed to operate at internet-scale with automatic infrastructure scaling capabilities
Data Source Connectivity
Supports multiple data storage systems and table formats without vendor lock-in constraints
Access Control and Governance
Implements Role-Based Access Control (RBAC) and Attribute-Based Access Control (ABAC) capabilities for data governance
Managed Infrastructure
Fully managed platform that handles design, provisioning, maintenance, and security of analytics infrastructure
Data Discovery and Management
Includes global search, schema discovery, and data product sharing features for data exploration and organization
Data Indexing Without Transformation
Indexes Amazon S3 data as-is without requiring parsing, schema changes, or data transformation while optimizing for both data size and performance.
SQL and Search Query Support
Enables search, SQL, and machine learning workloads on indexed S3 data with support for open APIs and native integrations with analytics tools such as Kibana, Elastic, Looker, and Tableau.
Unlimited Data Retention
Provides unlimited data retention capability enabling analysis across any time horizon without data retention limits or need for managing trade-offs between cluster resources and retained data volume.
Fully Managed Service Architecture
Operates as a fully managed service eliminating administrative overhead including re-indexing, sharding, load balancing, and management of compute and storage resources.
Direct Amazon S3 Integration
Directly indexes data stored in Amazon S3 without requiring data movement, complex data pipelines, or intermediate storage systems.
Lakehouse Architecture
Unified data foundation built on lakehouse architecture providing open, unified foundation for data and governance with support for open standards and formats
Data Intelligence Engine
Powered by Data Intelligence Engine that enables organization-wide access to data and insights across all users and roles
Multi-Workload Unification
Consolidates data engineering, analytics, business intelligence, data science and machine learning workloads on a single common platform
Open Source Foundation
Built on open source data projects and open standards to maximize flexibility and interoperability across data ecosystem
Collaborative Capabilities
Native collaboration features enabling unified data teams to collaborate across entire data and AI workflow
Standard contract
No
No
Customer reviews
Saikiran d.
Seamless ANSI SQL Across Fragmented Data with Open Table Format Support
Reviewed on Nov 04, 2026
Review provided by G2
What do you like best about the product?
The ability to run standard ANSI SQL across fragmented environments without needing dedicated data pipelines. Seamless support for open table formats like Apache Iceberg and Delta Lake without vendor lock-in.
What do you dislike about the product?
Because it is an in-memory MPP (Massively Parallel Processing) engine, running complex joins across multiple large external data sources can lead to Query
What problems is the product solving and how is that benefiting you?
Most enterprise data is scattered across incompatible systems—object storage (like Amazon S3, Azure Blob, Google Cloud Storage), relational databases (PostgreSQL, MySQL), and enterprise warehouses (Snowflake, BigQuery). Starburst creates a single access point to federate and query across all of them using standard ANSI SQL without moving the data.
Kevin M.
Flexible SQL Queries Across Multiple Data Sources with Starburst
Reviewed on Nov 02, 2026
Review provided by G2
What do you like best about the product?
What I like best about Starburst is the ability to query data from multiple sources using familiar SQL, without having to move everything into one central database first. Its wide range of connectors makes it easier to access and combine data across different systems. This flexibility simplifies analysis and reduces the need for separate data pipelines just to bring information together.
What do you dislike about the product?
One area I would like to see improved is query troubleshooting and performance tuning. Optimization capabilities vary between connectors and data sources, which can make complex queries harder to tune. More guided troubleshooting, clearer explanations of connector limitations, and actionable performance recommendations would make the platform easier to use, especially for new users.
What problems is the product solving and how is that benefiting you?
Starburst helps me query data across multiple systems without moving everything into one database. This reduces data preparation work, simplifies analysis, and makes it easier to combine information from different sources.
Sagar V.
Powerful Cross-Source Analytics, with Setup Hurdles
Reviewed on Nov 02, 2026
Review provided by G2
What do you like best about the product?
I like being able to query data across multiple sources without moving everything into one place. Starburst’s SQL compatibility makes it easy to work with, especially for developers familiar with SQL, and its distributed query execution, data source connectors, and query optimization help me access databases and data lakes through one SQL interface. I appreciate its query performance, scalability, and integration with different data sources and analytics tools. Its query engine handles large datasets efficiently, reduces data movement, and makes data access and analytics workflows faster and easier to manage. The documentation was helpful, and once setup was complete, integrating Starburst into our existing workflow became much easier.
What do you dislike about the product?
I found the initial setup relatively straightforward, but configuring data source connections and fine-tuning settings required some technical knowledge. New users may need time to understand the configuration process, especially when connecting multiple data sources. Query performance can also vary depending on the data source and configuration. Simpler configuration workflows and more detailed query monitoring and debugging tools would make the experience better.
What problems is the product solving and how is that benefiting you?
I use Starburst to access and analyze data spread across multiple sources without complex migration or duplication. It improves query performance, helps me get consistent insights from large datasets using standard SQL, and simplifies data integration, saving development time.
Yaswanth K.
Best-in-Class Federated SQL Query Engine with Strong Cost Management
Reviewed on Nov 02, 2026
Review provided by G2
What do you like best about the product?
Federated sql query engine is the best feature I have ever experienced in starburst, it's also very efficient for cost management and it has very good learning curve
What do you dislike about the product?
Credit consumption spikes and cost predictability are the two things I think starburst needs to be improved. Also, the built-in user interface and SQL editor in Starburst Galaxy
What problems is the product solving and how is that benefiting you?
Starburst addresses the fundamental challenges of modern data architecture, primarily focusing on eliminating the friction of data silos. It enables data federation, allowing users to query data where it lives using standard SQ.
thanh p.
Powerful Cross-Source SQL, with a Setup Learning Curve
Reviewed on Oct 15, 2026
Review provided by G2
What do you like best about the product?
I like how easy it is to query data from different sources using SQL. I can access distributed data in one place without moving or duplicating it, and get to the information I need for reporting and analysis faster. I also like Starburst’s performance and flexibility with large datasets, and find the interface fairly straightforward. Once the basic configuration was done, it became much easier to use and maintain.
What do you dislike about the product?
I found the initial setup and configuration a little complex and time-consuming, especially connecting different data sources. Some advanced features have a learning curve, and the documentation could use more practical examples for common use cases. Once I finished the basic configuration, Starburst became much easier to use and maintain.
What problems is the product solving and how is that benefiting you?
I use Starburst to query data from multiple sources in one place with SQL, without moving or duplicating it between systems just to query it.