• HOME
  • CATEGORIES

    • CATEGORIES

    • Browse All Categories
  • FOR VENDORS

    • FOR VENDORS

    • Log In to Vendor Portal
    • Get Started
  • REVIEWS

    • REVIEWS

    • Write a Review
    • Product Reviews
    • Vendor Directory
    • Product Comparisons
  • GARTNER PEER COMMUNITY™
  • GARTNER.COM
  • Community GuidelinesListing GuidelinesBrowse VendorsRules of EngagementFAQPrivacyTerms of Service
    ©2026 Gartner, Inc. and/or its affiliates.
    All rights reserved.
  • Categories

    • No categories available

      Browse All Categories

      Select a category to view markets

  • For Vendors

    • Log In to Vendor Portal 

    • Get Started 

  • Write a Review

Join / Sign In
  1. Home
  2. /
  3. Starburst Enterprise
Logo of Starburst Enterprise

Starburst Enterprise

byStarburst
in
4.6
Market Presence: Data Lakehouse Platforms, Data Integration Tools

Overview

Product Information on Starburst Enterprise

Updated 15th June 2026

What is Starburst Enterprise?

Starburst is the Enterprise Intelligence Platform that connects, organizes, and activates AI on distributed enterprise data — without moving it. Built on enterprise-hardened Trino, Starburst delivers high-performance federated SQL across cloud lakes, warehouses, and operational systems on Apache Iceberg's open table format. The Enterprise Context Layer organizes distributed data into shared ground truth — serving governed business context, data products, and semantic definitions at query time so humans and AI work from the same trusted foundation. AIDA, Starburst's AI Data Assistant, connects models, tools, and agents through a governed, model-agnostic agentic layer grounded in certified enterprise data. Deployed as Starburst Enterprise Platform (SEP) for on-premises/hybrid environments or Galaxy, a fully managed SaaS offering. Primary use cases: federated analytics, enterprise data products, AI-readiness for regulated industries, and governed agentic workflows.

Starburst Enterprise Pricing

Starburst Enterprise software uses a subscription-based pricing model, typically structured around annual or multi-year agreements. Pricing is determined based on factors such as the number of nodes or processing capacity and includes access to support, updates, and enterprise features. The software is available in different tiers to align with various usage and performance requirements.

Overall experience with Starburst Enterprise

Lead Cloud Infrastructure Specialist
30B + USD, Finance (non-banking)
FAVORABLE

“Powerful and Enterprise-Ready, but Success Depends on Integration Discipline”

4.0
Jul 19, 2026
This text serves as a placeholder and does not reflect the user’s review responses or opinions. This text serves as a placeholder and does not reflect the user’s review responses or opinions. This text serves as a placeholder and does not reflect the user’s review responses or opinions.
There are no reviews in this category.
CRITICAL

About Company

Company Description

Updated 21st December 2023

For data-driven companies, Starburst offers a full-featured data lake analytics platform, built on open source Trino. Our platform includes the capabilities needed to discover, organize, and consume data without the need for time-consuming and costly migrations. We believe the lake should be the center of gravity, but support accessing data outside the lake when needed. With Starburst, teams can access more complete data, lower the cost of infrastructure, use the tools best suited to their specific needs, and avoid vendor lock-in. Starburst helps companies make better decisions faster on all their data.

Company Details

Updated 26th February 2025
Company type
Private
Year Founded
2017
Head office location
Boston, United States
Number of employees
501 - 1000
Website
http://starburst.io

Do You Manage Peer Insights at Starburst?

Access Vendor Portal to update and manage your profile.

Key Insights

A Snapshot of What Matters - Based on Validated User Reviews

Top Starburst Enterprise Alternatives

Logo of AWS Glue
1. AWS Glue
4.4
(556 Ratings)
Logo of FME
2. FME
4.7
(446 Ratings)
Logo of Informatica PowerCenter (Legacy)
3. Informatica PowerCenter (Legacy)
4.2
(398 Ratings)
View All Alternatives

Peer Discussions

Starburst Enterprise Reviews and Ratings

4.6

(63 Ratings)

Rating Distribution

5 Star
54%
4 Star
46%
3 Star
0%
2 Star
0%
1 Star
0%
Why ratings and reviews count differ?
  • Lead Cloud Infrastructure Specialist
    10B+ USD
    Finance (non-banking)
    Review Source

    Powerful and Enterprise-Ready, but Success Depends on Integration Discipline

    4.0
    Jul 18, 2026
    From a principal cloud infrastructure analyst’s perspective, my overall experience with Starburst Enterprise has been strong on platform capabilities and acceptable on operational maturity, with most pain points concentrated at the integration/process edges rather than the core query engine behavior. Support Quality: I would characterize support quality as good but somewhat dependent on how prepared we are internally with reproducible evidence. The fastest progress happened when we could provide exact config deltas, command outputs, and clear before/after states. Integration Success: Integration with AWS services is one of the strongest aspects, but it requires disciplined setup. We successfully implemented Glue metastore integration, role-based access patterns, and BIAC role/domain/product provisioning. We also hardened automation by replacing a TLS-fragile Powershell path with a curl-based API call, which improved execution reliability in our environment. Business Impact: The immediate impact has been greater confidence in data management, data access and cleaner operational repeatability. We have completed end-to-end provisioning for owner/consumer role models and aligned writeback paths for Iceberg workflows through Terraform-backed changes. This kind of deterministic runtime verification reduced ambiguity during rollout and improved confidence in production-readiness.
  • Lead Cloud Infrastructure Specialist
    10B+ USD
    Finance (non-banking)
    Review Source

    Powerful and Enterprise-Ready, but Success Depends on Integration Discipline

    4.0
    Jul 18, 2026
    From a principal cloud infrastructure analyst’s perspective, my overall experience with Starburst Enterprise has been strong on platform capabilities and acceptable on operational maturity, with most pain points concentrated at the integration/process edges rather than the core query engine behavior. Support Quality: I would characterize support quality as good but somewhat dependent on how prepared we are internally with reproducible evidence. The fastest progress happened when we could provide exact config deltas, command outputs, and clear before/after states. Integration Success: Integration with AWS services is one of the strongest aspects, but it requires disciplined setup. We successfully implemented Glue metastore integration, role-based access patterns, and BIAC role/domain/product provisioning. We also hardened automation by replacing a TLS-fragile Powershell path with a curl-based API call, which improved execution reliability in our environment. Business Impact: The immediate impact has been greater confidence in data management, data access and cleaner operational repeatability. We have completed end-to-end provisioning for owner/consumer role models and aligned writeback paths for Iceberg workflows through Terraform-backed changes. This kind of deterministic runtime verification reduced ambiguity during rollout and improved confidence in production-readiness.
  • Read All 66 Reviews

    Get unlimited access to verified peer reviews and insights

    Read unlimited Gartner-vetted product reviews
    View and share valuable product insights
    Download full product profiles
    Review products you use today

Recommended Gartner Insights

  • Market Guide for Data Lakehouse Platforms
Powered by Google TranslateThis service may contain translations provided by Google. Google disclaims all warranties related to the translations, express or implied, including any warranties of accuracy, reliability, and any implied warranties of merchantability, fitness for a particular purpose and noninfringement. Gartner's use of this provider is for operational purposes and does not constitute an endorsement of its products or services.

Gartner Peer Insights content consists of the opinions of individual end users based on their own experiences, and should not be construed as statements of fact, nor do they represent the views of Gartner or its affiliates. Gartner does not endorse any vendor, product or service depicted in this content nor makes any warranties, expressed or implied, with respect to this content, about its accuracy or completeness, including any warranties of merchantability or fitness for a particular purpose.

This site is protected by hCaptcha and its Privacy Policy and Terms of Use apply.


Software reviews and ratings for EMMS, BI, CRM, MDM, analytics, security and other platforms - Peer Insights by Gartner
Community GuidelinesListing GuidelinesBrowse VendorsRules of EngagementFAQsPrivacyTerms of Use

©2026 Gartner, Inc. and/or its affiliates.

All rights reserved.

Reviewer Insights for: Starburst Enterprise
Deciding Factors: Starburst Enterprise Vs. Market Average
Performance of Starburst Enterprise Across Market Features

Starburst Enterprise Likes & Dislikes

Like

Strong cloud-native integration surface: Starburst works effectively with EKS, Glue, IAM role delegation and Lake Formation-oriented governance patterns. This reduced custom glue code and let us operationalize with IaC plus runtime validation. Governance and access model flexibility: BIAC role/domain/product constructs mapped well to our owner-consumer access patterns. In practice, we can provision roles, apply grants, and assign subjects in a structured way that supports enterprise controls. Operational transparency when instrumented well: Being able to verify active data catalog properties directly from the coordinator pods and reconcile Terraform app-runtime state is a major strength for troubleshooting and auditability. Scalable deployment model for multi-environment footprints: Environment-specific data catalog/value patterns are manageable across regions/accounts when naming and policy standards are enforced

Like

Strong cloud-native integration surface: Starburst works effectively with EKS, Glue, IAM role delegation and Lake Formation-oriented governance patterns. This reduced custom glue code and let us operationalize with IaC plus runtime validation. Governance and access model flexibility: BIAC role/domain/product constructs mapped well to our owner-consumer access patterns. In practice, we can provision roles, apply grants, and assign subjects in a structured way that supports enterprise controls. Operational transparency when instrumented well: Being able to verify active data catalog properties directly from the coordinator pods and reconcile Terraform app-runtime state is a major strength for troubleshooting and auditability. Scalable deployment model for multi-environment footprints: Environment-specific data catalog/value patterns are manageable across regions/accounts when naming and policy standards are enforced

Like

Strong cloud-native integration surface: Starburst works effectively with EKS, Glue, IAM role delegation and Lake Formation-oriented governance patterns. This reduced custom glue code and let us operationalize with IaC plus runtime validation. Governance and access model flexibility: BIAC role/domain/product constructs mapped well to our owner-consumer access patterns. In practice, we can provision roles, apply grants, and assign subjects in a structured way that supports enterprise controls. Operational transparency when instrumented well: Being able to verify active data catalog properties directly from the coordinator pods and reconcile Terraform app-runtime state is a major strength for troubleshooting and auditability. Scalable deployment model for multi-environment footprints: Environment-specific data catalog/value patterns are manageable across regions/accounts when naming and policy standards are enforced