Starburst Review: Pros, Cons, Features and Pricing
Starburst is a big data customer analytics platform that queries data across any database, making it instantly actionable for data-driven organizations. Built on the open-source platform, Trino, Starburst is ideal for data-centric teams in industries like finance, retail, and technology, where accessing and analyzing vast amounts of data is crucial. Starburst lowers infrastructure costs and prevents vendor lock-in, offering a flexible solution for managing data.
For your team, Starburst addresses common pain points such as data accessibility and integration across various databases, benefiting IT and analytics departments. In this article, I'll cover Starburst's features, pros and cons, use cases, and pricing, so you can decide if this software fits your data management needs and goals.
Starburst Evaluation Summary
- From $0.50/credit
- Free plan available
Why Trust Our Software Reviews
Starburst Overview
In my opinion, Starburst is a strong data analytics platform, especially if you value flexibility and powerful enterprise-grade features. Its customizable data integration tools are impressive, but the platform does come with a steep learning curve that can affect usability early on. The onboarding experience isn’t the most intuitive. However, once you’re fully set up, Starburst delivers reliable, high-level performance.
As an advanced data analysis tool, Starburst is best suited for teams willing to invest time in mastering a more complex system and who require a platform capable of handling sophisticated data workloads. However, if exceptional customer support is a priority, you may find it falls a bit short compared to other high-performance solutions.
pros
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It supports SQL, making it easy for your team to use existing skills.
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Your team gets real-time insights with its fast query engine.
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You can query data across multiple apps and sources.
cons
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You might find its documentation lacking in depth for complex use cases.
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It can be resource-intensive, requiring significant infrastructure.
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Your team might face a steep learning curve initially.
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How We Test & Score Tools
We’ve spent years building, refining, and improving our software testing and scoring system. The rubric is designed to capture the nuances of software selection and what makes a tool effective, focusing on critical aspects of the decision-making process.
Below, you can see exactly how our testing and scoring works across seven criteria. It allows us to provide an unbiased evaluation of the software based on core functionality, standout features, ease of use, onboarding, customer support, integrations, customer reviews, and value for money.
Core Functionality (25% of final scoring)
The starting point of our evaluation is always the core functionality of the tool. Does it have the basic features and functions that a user would expect to see? Are any of those core features locked to higher-tiered pricing plans? At its core, we expect a tool to stand up against the baseline capabilities of its competitors.
Standout Features (25% of final scoring)
Next, we evaluate uncommon standout features that go above and beyond the core functionality typically found in tools of its kind. A high score reflects specialized or unique features that make the product faster, more efficient, or offer additional value to the user.
We also evaluate how easy it is to integrate with other tools typically found in the tech stack to expand the functionality and utility of the software. Tools offering plentiful native integrations, 3rd party connections, and API access to build custom integrations score best.
Ease of Use (10% of final scoring)
We consider how quick and easy it is to execute the tasks defined in the core functionality using the tool. High scoring software is well designed, intuitive to use, offers mobile apps, provides templates, and makes relatively complex tasks seem simple.
Onboarding (10% of final scoring)
We know how important rapid team adoption is for a new platform, so we evaluate how easy it is to learn and use a tool with minimal training. We evaluate how quickly a team member can get set up and start using the tool with no experience. High scoring solutions indicate little or no support is required.
Customer Support (10% of final scoring)
We review how quick and easy it is to get unstuck and find help by phone, live chat, or knowledge base. Tools and companies that provide real-time support score best, while chatbots score worst.
Customer Reviews (10% of final scoring)
Beyond our own testing and evaluation, we consider the net promoter score from current and past customers. We review their likelihood, given the option, to choose the tool again for the core functionality. A high scoring software reflects a high net promoter score from current or past customers.
Value for Money (10% of final scoring)
Lastly, in consideration of all the other criteria, we review the average price of entry level plans against the core features and consider the value of the other evaluation criteria. Software that delivers more, for less, will score higher.
Core Features
Data Management
Starburst excels at handling large volumes of data across multiple sources, allowing your team to access and manage data efficiently. Its unique approach to data management stands out by allowing you to query data where it resides, without needing to move it.
Query Performance
With Starburst, you can run queries faster and more efficiently, saving time and resources for your team. Its performance optimization allows you to get insights quickly, helping to boost productivity.
Security Features
Starburst offers a strong set of security features to protect your data, helping you stay compliant with industry standards. This gives peace of mind knowing your data is secure while your team focuses on analysis.
Scalability
As your data needs grow, Starburst scales smoothly to accommodate larger datasets without compromising on performance. This flexibility means you don't have to worry about outgrowing the platform.
Collaboration Tools
Starburst provides features that foster collaboration among team members, enabling streamlined sharing of insights and findings. This enhances team productivity by helping everyone stay on the same page.
Ease of Use
Starburst is fairly user-friendly as a customer data platform. While it may not be the most intuitive tool out there, it offers a solid set of features that can be navigated with some patience. Users often appreciate its comprehensive functionalities, but they might find the initial setup and configuration a bit cumbersome. Your team can gain a lot from its capabilities, though some training or support could be necessary to fully leverage its potential.
Integrations
Starburst offers seamless integration with IBM Db2, DynamoDB, Greenplum, Kudu, Netezza, Microsoft Azure, Salesforce, SAP HANA, Snowflake, Data Lake, and Teradata. Starburst also offers an API for custom integrations and supports third-party integration tools.
Starburst Specs
- 2-Factor Authentication
- A/B Testing
- Analytics
- API
- Calendar Management
- Contact Management
- Dashboard
- Data Export
- Data Import
- Data Mining
- Data Visualization
- External Integrations
- Forecasting
- Keyword Tracking
- Multi-User
- Notifications
- Scheduling
- SEO
