# Starburst Reviews **Vendor:** Starburst **Category:** [Big Data Analytics Software](https://www.g2.com/categories/big-data-analytics) **Average Rating:** 4.4/5.0 **Total Reviews:** 92 ## About Starburst Starburst is the data platform for analytics, applications, and AI, unifying data across clouds and on-premises to accelerate AI innovation. Organizations—from startups to Fortune 500 enterprises in 60+ countries—rely on Starburst for fast data access, seamless collaboration, and enterprise-grade governance on an open hybrid data lakehouse. Wherever data lives, Starburst unlocks its full potential, powering data and AI from development to deployment. By future-proofing data architecture, Starburst helps businesses fuel innovation with AI. Learn more at starburst.ai ## Starburst Pros & Cons **What users like:** - Users commend the **fast querying capabilities** of Starburst, significantly enhancing efficiency in data processing and analysis. (20 reviews) - Users appreciate the **significantly faster query performance** of Starburst, enhancing efficiency in processing large datasets. (18 reviews) - Users value the **seamless integration** capabilities of Starburst, enabling efficient data access from various sources effortlessly. (17 reviews) - Users find Starburst's **ease of use** invaluable for efficient data querying and seamless integration with various platforms. (15 reviews) - Users value Starburst for its **efficient querying of large datasets** , significantly enhancing productivity and workflow. (14 reviews) - Performance (14 reviews) - Speed (13 reviews) - Features (12 reviews) - Easy Integrations (11 reviews) - Time-Saving (11 reviews) **What users dislike:** - Users face **query performance issues** with Starburst, especially when handling large datasets, causing delays and frustration. (14 reviews) - Users report **slow performance** with Starburst, noting delays and issues with complex queries impacting their experience. (13 reviews) - Users find the **initial setup complexity** of Starburst challenging, requiring substantial time and technical expertise. (11 reviews) - Users find the **steep learning curve** of Starburst challenging, particularly for newcomers to data lakehouse concepts. (10 reviews) - Users experience significant **performance issues** with Starburst, especially when running complex queries that slow down processing. (9 reviews) - Poor Documentation (9 reviews) - Slow Queries (8 reviews) - Users find the **difficult setup** of Starburst time-consuming and challenging, particularly for those new to the system. (7 reviews) - Expensive (7 reviews) - Poor Performance (6 reviews) ## Starburst Reviews ### 1. Starburst Enterprise Review **Rating:** 4.0/5.0 stars **Reviewed by:** Rajiv B. | Lead Cloud Infrastructure Specialist, Enterprise (> 1000 emp.) **Reviewed Date:** December 04, 2024 **What do you like best about Starburst?** We originally had our data lake built on a Hive engine. One of the tings we like about Starburst Enterprise is the improvement it provided to our consumers by providing a powerful distributed SQL query engine built on a Trino engine, allowing fast querying across diverse data sources. We also shifted away from an Enterprise Data Lake secured Privacera Ranger to a Data Mesh architecture governed by AWS Lake Formation. From a business and customer support perspective, Starburst were attentive to our technical/business requirements, feature requests, etc. **What do you dislike about Starburst?** One area of improvement for Starburst is to consider the rollout of GA features after undergoing somewhat further rigorous/comprehensive use case testing. Or alternatively, perhaps be more mindful with the language of GA vs Public Preview vs Private Preview. **What problems is Starburst solving and how is that benefiting you?** Starburst is providing our consumers a seamless and easy method to; scalable, high-performing, cross-data source federation solutions for many of their use cases. With our analytics community being empowered to continue developing more efficiently and productively, this overall reduces the time to market business impact 1) Cross-data source federation: Allows querying across multiple data sources simultaneously, including databases, data warehouses, and data lakes. 2) High performance: Optimized for fast query execution on large datasets through features like intelligent caching and query optimization. 3) Scalability: Can scale horizontally to handle growing data volumes and concurrent users. ### 2. Accelerates Hive Queries, Easy to Maintain **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Banking | Enterprise (> 1000 emp.) **Reviewed Date:** December 03, 2024 **What do you like best about Starburst?** I use Starburst primarily for querying data from Hive, and I really appreciate its ability to speed up queries significantly. This acceleration feature is particularly valuable to me as it enhances the efficiency of processing large datasets. I also love how simple it is to maintain Starburst, which makes ongoing administration hassle-free. The initial setup was very easy, which is a big plus for anyone looking to implement new software with minimal downtime. I find it integrates well with other tools like Tableau and custom tools we rely on, which facilitates a smooth workflow within our data analysis and visualization processes. **What do you dislike about Starburst?** I find the connectivity to Dataproc Hive on GCP problematic with Starburst. There is also a lack of advanced network setups specifically in GCP GKE environments, which presents challenges. Additionally, the documentation sometimes falls short, as it can be lacking or even incorrect at times. **What problems is Starburst solving and how is that benefiting you?** I use Starburst for querying data from Hive. It accelerates queries significantly and is simple to maintain. The easy setup process adds to its benefits. ### 3. Outstanding Performance and Savings with Robust Governance **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Financial Services | Enterprise (> 1000 emp.) **Reviewed Date:** December 09, 2025 **What do you like best about Starburst?** The query performance, governance features, and cost savings stand out when compared to other solutions such as AWS Athena. **What do you dislike about Starburst?** The user interface could use a more modern design and enhancements to make it easier to use. Additionally, the existing documentation is too basic for enterprise needs; users would benefit from more advanced, production-level examples instead of just beginner tutorials. Finally, the consumption-based pricing model makes it difficult to predict monthly expenses with accuracy. **What problems is Starburst solving and how is that benefiting you?** This product offers capabilities in data analytics, cataloguing, and data governance. It provides tools that help manage and organize data efficiently, supporting both analysis and oversight. Overall, it addresses key needs in handling and governing data within an organization. ### 4. Streamlined Data Analytics with Excellent Support **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Banking | Enterprise (> 1000 emp.) **Reviewed Date:** December 05, 2025 **What do you like best about Starburst?** I like how Starburst gives us more insight about the query execution plan. It's really helpful in understanding how a query is going to execute. It also has lineage and audit features. I find it user-friendly for managing data security with RBAC and based security controls, which are necessary for data governance. Starburst is especially useful for running complex queries, especially when dealing with multiple joins and data source systems. It supports multiple languages, which I find very valuable. Setting up Starburst wasn't complex, and I had good support from the solution architect, which made the process successful. **What do you dislike about Starburst?** Sometimes I face challenges with the query editor. Whenever we have a big source code, it's not big enough to troubleshoot and run the query faster compared to a traditional SQL editor. I would definitely give feedback to the internal team to make it more user-friendly. **What problems is Starburst solving and how is that benefiting you?** Starburst solves data duplication issues, allowing access to any source without copying data for analytics. It's user-friendly for managing data security with RBAC and facilitates complex queries across multiple data sources, supporting multilingual analytics. ### 5. Outstanding Support Team Makes All the Difference **Rating:** 5.0/5.0 stars **Reviewed by:** Sai S. | Jr Automation Engineer, Enterprise (> 1000 emp.) **Reviewed Date:** December 09, 2025 **What do you like best about Starburst?** The support team is very good. They are very helpful and informative **What do you dislike about Starburst?** I just feel that the documentation could be better. That's all **What problems is Starburst solving and how is that benefiting you?** Data querying, retrieval, enhancing decision making, ability to leverage AI and vector search tools. ### 6. Effortless Data Federation and Granular Governance Made Easy **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in Financial Services | Small-Business (50 or fewer emp.) **Reviewed Date:** November 15, 2025 **What do you like best about Starburst?** Effortlessly federating data is a standout feature, and the ability to apply data governance with a high level of granularity is impressive. I also appreciate how easy it is to use overall. **What do you dislike about Starburst?** One drawback is the absence of a built-in data processing and orchestration mechanism. **What problems is Starburst solving and how is that benefiting you?** The platform enables rapid data integration from a variety of sources, spanning different regions and cloud environments. It simplifies feature engineering for AI datasets, making the process more efficient. With a single platform, it delivers governed data to multiple stakeholders, ensuring consistency and control. Automated user access is streamlined through OKTA SAML setup, enhancing security and ease of use. Additionally, curated data can be provided directly to client storage, eliminating the need to store or transfer data locally. ### 7. Effortless AI Agent Creation with Robust Features **Rating:** 4.0/5.0 stars **Reviewed by:** Dev Saran S. | Science Tutor , Enterprise (> 1000 emp.) **Reviewed Date:** November 06, 2025 **What do you like best about Starburst?** While creating AI agents its very easy to use starburst it already has most support and nice number of features. If you want to let AI agents use your data there are built in plugins controlling governance and ease. **What do you dislike about Starburst?** Lack of community support and reliability. Most of the companies prefer to go to Azure and have their own AI solution because main thing is about reliabilty. **What problems is Starburst solving and how is that benefiting you?** Creating data pipelines and ease of connecting AI agents with organisational data. ### 8. Starburst Enterprise deployment **Rating:** 4.0/5.0 stars **Reviewed by:** John W. | Director, Data Engineering, Enterprise (> 1000 emp.) **Reviewed Date:** April 12, 2022 **What do you like best about Starburst?** Starburst improve the response time and incorporated AI/ML capability. **What do you dislike about Starburst?** My previous comment still stands. In addition, while Starburst has improved response time, certain connectors, like SQL Server, is single-threaded so the performance is lacking in comparison to other connectors that can do parallelization. **What problems is Starburst solving and how is that benefiting you?** Our big data environment is slow and Hive performance is inadequate. Starburst speeds up the query speed for our customer base (>100 analysts) up to 80% and also allow customers to perform cross-platform queries (Big Data and SQL Server) together without having to copy data. **Official Response from Megan Kemphaus:** > Hi John, thank you for your review! It's great to hear the benefits you're seeing regarding the query speed and how that's helped with some of the challenges you were facing before in your data environment. It sounds like the TAMs are supporting you where the customizations can take some time - we're appreciative of that feedback and will share it to both the Customer Success team as well as the Product team. ### 9. Now we can work much more efficiently with data **Rating:** 4.5/5.0 stars **Reviewed by:** Gina T. | Data operations manager, Information Technology and Services, Small-Business (50 or fewer emp.) **Reviewed Date:** May 08, 2025 **What do you like best about Starburst?** Starburst has the speed of serving complex queries. I’ve found that it optimizes query execution whether the data is in multiple systems. And it helped reduce the hassle of asking people for data and querying it manually, which had skewed to a massive part of our time. Having the ability to take complex join queries, without worrying about movement of data has really elevated our workflow to be able to see more analysis instead of thinking about logistics. **What do you dislike about Starburst?** To be fair, Starburst is a very full featured product and pretty intuitive but some things are not so intuitive as I’d like them to be so troubleshooting can be more difficult. Moreover, when it comes to distributed query engines, those teams that are new to them will need some time to really get a whole picture of all the choices here offered. Occasionally, on a problem, I get so lost in the docs and have to dig it that we can’t work. This could certainly be made clearer and more accessible. **What problems is Starburst solving and how is that benefiting you?** By using Starburst we have removed the problems or fragmented data across many platforms as we can query everything through a single interface. By cutting down on the manual release of data from separate systems, we’ve saved ourselves a lot of time, and workflow has been streamlined with the data made easier to access. It’s also allowed us to work better with data, through more efficient use of data to work faster on the whole company and faster to make decisions on data. ### 10. Our team finally gains access to all data in one place **Rating:** 3.5/5.0 stars **Reviewed by:** Gino M. | Business Intelligence Manager, Food & Beverages, Small-Business (50 or fewer emp.) **Reviewed Date:** April 29, 2025 **What do you like best about Starburst?** The best thing about Starburst is how it manages such complicated data environments. It lets us query data in multiple system data, AWS and google cloud without having to worry about integration issues. It’s also fast, and that worked even with large amounts of data, which is the performance, and the results. Making our data access just much easier and indispensable for our analytics team. **What do you dislike about Starburst?** For some reason, the initial setup for Starburst is the main downside I’ve found to it. It’s strong, but a lot of configuration is needed when combining with other data sources. Assuring that everything is attached and working in concert can take some time. Furthermore, there are some issues with dealing with bring complex queries, which can cause a performance hiccup when trying to pull all the data from multiple sources at once. **What problems is Starburst solving and how is that benefiting you?** Starburst has changed the game for us, out of data relevant to us now comes automatically and effortlessly. Instead of dunns between platforms to get to all the information we need we no longer waste time switching between platforms. All that is now accessible in the area of one place, and makes data analysis faster and more efficient. Moreover it’s helped with teamwork and fasten made making decisions suitably. ### 11. Unified Access to Data **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Hospital & Health Care | Enterprise (> 1000 emp.) **Reviewed Date:** April 17, 2025 **What do you like best about Starburst?** Starburst provides a single point of access to multiple disparate data sources including data lakes, cloud storage, relational databases, and NoSQL systems. This significantly simplifies the analytics process by allowing users to query data in-place, eliminating the need for complex ETL pipelines. The Security and Governance features are great which helps in auditing etc. 1. Unified Access to Distributed Data Starburst provides seamless connectivity to a wide range of data sources—relational databases, data lakes, cloud storage, and more—allowing analysts and data scientists to query across silos using standard SQL. 2. High Performance & Scalability Built on Trino’s distributed SQL engine, Starburst offers fast query performance at scale. Features like cost-based optimization, dynamic filtering, and query caching significantly enhance performance for large datasets. 3. Enterprise-Ready Security & Governance Starburst integrates with authentication systems and supports fine-grained access control via tools like Apache Ranger, making it a secure option for highly regulated environments. 4. Flexible Deployment Supports hybrid, multi-cloud, and on-prem deployments. With Starburst Galaxy, the fully managed SaaS offering, users can get started quickly without infrastructure overhead. 5. Broad Ecosystem Support It integrates with major cloud platforms (AWS, Azure, GCP) and connects with popular BI and data tools such as Tableau, Power BI, and dbt. **What do you dislike about Starburst?** While Starburst is a strong platform, there are a few areas that could be enhanced: 1. Catalog Creation and Management Setting up catalogs, especially at scale, can be complex and sometimes unintuitive. Improvements to the user experience, automation, and management of catalogs—particularly in large, dynamic environments—would greatly benefit data engineering teams. 2. Learning Curve for New Users Though SQL-based, the platform requires understanding of distributed query execution, connector configurations, and performance tuning. Organizations may need to invest in training or initial consulting support. 3. Monitoring and Troubleshooting While Starburst provides basic query monitoring tools, more advanced observability features (e.g., deeper lineage tracking, proactive performance insights) could further simplify troubleshooting and operational efficiency. 4. Cost Management in Cloud Environments Given the platform’s power, it’s easy to incur high compute costs when querying large datasets across multiple cloud sources. Resource management policies need to be carefully implemented. **What problems is Starburst solving and how is that benefiting you?** Data Silos Starburst allows querying data in place, eliminating the need for traditional ETL pipelines that move data into a centralized repository. This reduces latency and complexity. Performance Bottlenecks in Distributed Queries Leveraging Trino’s high-performance distributed SQL engine, Starburst enables interactive and scalable analytics over large and diverse datasets. Lack of Unified Access Across Cloud and On-Prem With Starburst, we can connect to multiple data sources (across AWS, Azure, GCP, on-prem DBs) through a single SQL interface, simplifying analytics and reducing tool sprawl. Data Governance and Security Challenges Starburst supports fine-grained access control, auditability, and role-based permissions—essential for compliance and enterprise data governance. Tool Fragmentation and Analyst Productivity Analysts and data scientists can use standard BI tools like Tableau, Power BI, or even Jupyter with Starburst to access all relevant data without switching contexts or learning new interfaces. ### 12. Fantastic product from the creators of Trino! **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in Information Technology and Services | Mid-Market (51-1000 emp.) **Reviewed Date:** April 22, 2025 **What do you like best about Starburst?** Starburst was one of the first to offer Fault Tolerant Mode(FTE) with Trino and it enabled us to execute larger queries without any time limit as imposed by other similar query engines like Athena. Starburst SSO integration and SCIM capabilities along with the IAM integration with AWS was very well implemented. RBAC and ABAC capabilities are also robust. Starburst support team has also been very responsive so far. **What do you dislike about Starburst?** Telemetry capabilities are still far from robust. CPU based autoscaling had a lot of issues, but has greatly improved recently. Lack of integration with alerting tools like slack or pagerduty is very limiting and making users to spend time integrating custom plugins. There is also no current feature to warn users if certain queries are blocking the cluster resources or some automatic termination of such queries. **What problems is Starburst solving and how is that benefiting you?** Enabling Data Scientists and DataEngineers to run Large analytical workloads and ad-hoc querying. ### 13. Reliable, fast, secure and efficient data platform **Rating:** 5.0/5.0 stars **Reviewed by:** Vitor M. | Data Product Manager - Specialist, Enterprise (> 1000 emp.) **Reviewed Date:** October 10, 2022 **What do you like best about Starburst?** Interface Integrations Role base acess control (granular) Customer Succes **What do you dislike about Starburst?** It would be better if AI agents operated independently from the data products entity **What problems is Starburst solving and how is that benefiting you?** Up to 55% cost reduction compared to other tools Easy access to explore data across various sources The interface provides granular access control ### 14. Reliable way to retrieve and work with data efficiently **Rating:** 4.0/5.0 stars **Reviewed by:** Joan D. | Business intelligence analyst, Marketing and Advertising, Small-Business (50 or fewer emp.) **Reviewed Date:** April 03, 2025 **What do you like best about Starburst?** Probably the biggest standout from Starburst is that it decreases our dependency on operator data retrieval. We no longer have to extract and put things together from separate locations because it is accessible in a structured format. It has substantially reduced redundant work and made sure that our team dedicates its time to meaningful analysis rather than an excess on data preparation. This has helped us structure our decision making a lot more and has made it more efficient. **What do you dislike about Starburst?** Starburst is powerful, but some advanced query functions are as complex as you would expect for something that involves moving notoriously complex data. Not all team memebrs are comfortable with some features sometimes which sometimes causes to hindrance as we wait for someone who is more experienced. The documentation could also be clearer, most especially when trying to identify a particular scenario. Because of this lack of clarity, some processes have been slower than they should be. **What problems is Starburst solving and how is that benefiting you?** Starburst has saved a huge amount of time that we used to spend performing data preparation. This means we’re duplexing our limited time concentrating more on applying insights rather than piecing together information from a number of sources. It has proved a great advantage when working on cross functional projects as everyone has the same copy of the information to be able to work on. It has allowed us to work better with less of the usual bottlenecks. ### 15. Our team doesn't panic before data analysis anymore **Rating:** 4.0/5.0 stars **Reviewed by:** Paolo M. | Digital Workplace Strategist, Management Consulting, Small-Business (50 or fewer emp.) **Reviewed Date:** March 13, 2025 **What do you like best about Starburst?** One of the highlights of the Starburst architecture is its data lakehouse architecture. This enables us to query data between different formats and locations without any issues. This has been a lifesaver for our data analysts so that they can have faster access to and analysis of data. The cost based optimization feature is also good since it helps us manage and optimize query costs. Moreover, it is easy to integrate with different data sources for the purpose of data consolidation from different platforms, offering a single view. **What do you dislike about Starburst?** Setting up Starburst is a bit challenging, especially for those who are new to data lakehouse concepts. Although the documentation is comprehensive, the huge beginner friendliness. In addition, it may take a while to learn the curve of optimizing queries, and you can certainly need some trial and error to achieve the best performance. **What problems is Starburst solving and how is that benefiting you?** Starburst provides the solution to siloed data and slow query. Our data had been scattered across different platforms beforehand, and was not easy to get a holistic view of before using it. With Starburst, we can now query many formats and locations, offering a single, full view. This has greatly contributed to having better data analysis and making decisions. To give an example, previously, with hours, we used to run complex queries across different data sources. But now in minutes, we can run such queries. ### 16. Our team's stress levels have dropped since we started using Starburst **Rating:** 4.0/5.0 stars **Reviewed by:** Pjeter P. | Senior Data Analyst, Marketing and Advertising, Small-Business (50 or fewer emp.) **Reviewed Date:** March 12, 2025 **What do you like best about Starburst?** Starburst’s query engine is very powerful. This allows me to do such complex queries on mutiply data sources without lifting a finger. This is a game changer for my work with my data analysis tasks. It is impressive that the software handles large datasets efficiently. For my work, I can process and analyze lots of data but will never get a lag. Furthermore, the user friendly interface of the website makes it easy for the user to navigate and use even if one is not so tech savvy. Top notch with regards to integration capabilities as well. **What do you dislike about Starburst?** Starburst can handle robustly, but for beginners, it is steep learning curve. On this matter, the documentation is very complete, but for new users it can be quite overwhelming. It is also a bit confusing in pricing structure as different tiers come with different access to the features. A standard price model would be really good. Finally, the customer service is too slow to respond. Sometimes I had to wait for a longer time than I was expecting to receive help. **What problems is Starburst solving and how is that benefiting you?** It was a difficult, time consuming and frustrating process to analyze large datasets before the advent of Starburst. To achieve this, I had to use a lot of tools and manual processes, that were slow and error prone. However, with Starburst, I can run complex queries and analyze data from other sources in the same place. It has made a huge difference to process my work. To give an example, before I used to export data from various sources and later, for analysis, I had to manually combine them. ### 17. Fast Data Queries and Robust Access Controls **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Banking | Enterprise (> 1000 emp.) **Reviewed Date:** December 03, 2025 **What do you like best about Starburst?** Starburst simplifies querying data quickly, while also offering useful controls for managing access. **What do you dislike about Starburst?** If Starburst offered more comprehensive documentation, particularly when new releases come out, it would make it much easier to understand the new features. **What problems is Starburst solving and how is that benefiting you?** Starburst makes it simple for us to give our customers convenient access to the data they require. ### 18. No more wasting time on data drudgery **Rating:** 3.5/5.0 stars **Reviewed by:** Ludmila V. | Security and Compliance Officer, Research, Mid-Market (51-1000 emp.) **Reviewed Date:** January 31, 2025 **What do you like best about Starburst?** Starburst demonstrates outstanding capabilities for retrieving data from multiple different sources. As part of a project I needed to assess sales records stored across three separate databases. Through Starburst I was able to execute multi database queries so I avoided spending one full day conducting the work. The outstanding security protocols of the platform bring reliability during the handling of critical data. Our daily operations thrive from automatic data encryption combined with user authentication features. **What do you dislike about Starburst?** Unfortunately, one thing that can be a little frustrating on Starburst is closing the query window before saving your work. If there was an auto save feature for this it would be great. One issue is that very complex queries sometimes bogs down the system, and there are some performance problems here and there. Take for example, I sometimes had a query that needed to be run, and it took over 10 minutes to complete, that was a pain. **What problems is Starburst solving and how is that benefiting you?** Using Starburst enables our organization to conduct flawless integrated data queries and analysis through multiple data systems. We formerly put a great deal of effort into manual data consolidation between multiple databases yet the work often included mistakes and variance. Starburst enables real time access to updated information which streamline decision processes for our organization. Our data security expands stronger because we no longer need to transfer data nor worry about unauthorized database entry because implementing Starburst. ### 19. Great for complex queries **Rating:** 4.0/5.0 stars **Reviewed by:** Christopher P. | Data specialist for architectural planning, Architecture & Planning, Small-Business (50 or fewer emp.) **Reviewed Date:** January 18, 2025 **What do you like best about Starburst?** I like to see how Starburst makes it easier to link disparate data sets. Despite this, it keeps working, running smoothly, and maintaining standard and precision in every organization even when dealing with different environments. The use of research has helped in minimizing the risks posed by incomplete and other mismatched data results. The flexibility it has shown in dealing with the different types of queries it receives has helped minimize on overly complicated intra-functional work flows while directing more effort to the production of relevant results. **What do you dislike about Starburst?** One major inconvenience of Starburst is that during heavily utilized periods, when executing complicated queries, it draws a rather large number of resources, and hence can be slow. Because fixing these queries involves some high level of technical experience, the problem solving would take a lot of time consuming time than required hence the disruption of the normal working progress hence affecting time bound projects that would be very crucial in the achievement of business objectives. **What problems is Starburst solving and how is that benefiting you?** Starburst has addressed the problem of having different sources of data where the user has to develop different pipelines to handle them and this has reduce a lot of time and energy. It relieves our team of managing infrastructural issues that would otherwise distract from creating the desired impact. The search and handling of data from different sources have become easier and efficient due to Starburst making our outcomes more accurate and our programs more on schedule. ### 20. Our team’s data access has never been easier **Rating:** 4.0/5.0 stars **Reviewed by:** Felipe F. | Strategic operations lead, Information Technology and Services, Small-Business (50 or fewer emp.) **Reviewed Date:** January 16, 2025 **What do you like best about Starburst?** The thing that I like most about Starburst is that it gives you instant access to all kinds of data across all sorts of places without ever needing to move the data physically. The ability for us to pull insights directly from where the data lives greatly benefits our workflow. By not having to manually collect, transfer, or aggregate data before using it, we’ve been able to streamline our processes and save us a lot of very valuable time. **What do you dislike about Starburst?** In sum there are many good things with Starburst search engine but it is not always suitable for task of executing very specific, detailed questions. In some cases when a certain level of depth or specificity is required for business operations we have had to turn to other tools. Sometimes this longer process can be quite bothersome, especially when one has to shift between the tools for the purpose of the different interfaces. **What problems is Starburst solving and how is that benefiting you?** Starburst helps us solve one of its main challenges – use of dataset across multiple platforms for analysis becomes challenging. We found ourselves daily shuffling and merging data without the use of It which was greatly involving and full of errors. Now with Starburst we can go direct to where the data sits and it has helped to do a lot of these things for us, so we are more efficient and pretty much get accuracy in our working which has led to making quicker decisions. ### 21. Finally querying data from different sources feels effortless **Rating:** 4.0/5.0 stars **Reviewed by:** Artur W. | Senior Data Architect, Construction, Mid-Market (51-1000 emp.) **Reviewed Date:** January 13, 2025 **What do you like best about Starburst?** I like Starburst to be able to let us query data from various sources but we don’t need to bring everything into one central database. It doesn’t matter it is AWS, Snowflake or other data platforms as we can work with data from multiple systems simultaneously. It saves ourselves from the extra steps like data transformation or migration and makes us to focus on what we should and actually need to do. It’s a big time saver and it makes it easier to streamline the processes. **What do you dislike about Starburst?** The problem with Starburst is permissions and access control across multiple data sources. There’s no central place to manage the permissions of all platforms. And each system has its own security protocols. The simple implication is that there’s a lot of elements we have to log into separately to make the changes that we need to. It’s an extra step that can throw off workflow, and especially when working on several platforms, with different user access needs. **What problems is Starburst solving and how is that benefiting you?** With Starburst, you have solved the problem of accessing and working with data that resides in multiple systems. Until that point we had to merge datasets manually, which was slow and error prone. With Starburst, we have eliminated a lot of time and the potential to slip up by allowing us to query the data that we're getting from AWS, Snowflake, and so forth directly. This efficiency has freed us more time to spend our analysis and decision making. ### 22. For us it's a real game changer for data querying **Rating:** 4.0/5.0 stars **Reviewed by:** Aiden K. | IT Operations Manager, Civic & Social Organization, Small-Business (50 or fewer emp.) **Reviewed Date:** January 01, 2025 **What do you like best about Starburst?** I enjoy most about Starburst the ability to increase the overall speed and accuracy of how we retrieve our data. The platform ensures that whatever we're looking for pulls up instantly, and correctly. With this efficiency, my team has more time to actually thing about a problem instead of wasting time browsing for data. We’ve found it very smooth on the data management side, making our processes much smoother, and bringing a lot more productivity to them. **What do you dislike about Starburst?** Starburst is a challenge if you have a lot of users, and a lot of them are accessing it at the same time - it can become slow. However, there is a occasional lag disorientating on workflow mostly when we are about to have access to the data quickly. The platform is too unstable during peak periods. It happens when we can’t do things on time, and when we can’t, we need to start over with deadlines. **What problems is Starburst solving and how is that benefiting you?** Starburst has found a much more efficient way to solve the problem of how to access data across many different systems. Before, we did spend a lot of time moving between platforms to package and potenially pull data manually. Finally, now we can get everything we need from a single place, maximizing our time and working a lot quicker. Also, the integration of various data sources into one platform has allowed us to run reports, and make quicker decisions. ### 23. Efficient query handling for large datasets, best I ever used **Rating:** 4.0/5.0 stars **Reviewed by:** Hannah N. | Senior Data Analyst, Biotechnology, Small-Business (50 or fewer emp.) **Reviewed Date:** December 28, 2024 **What do you like best about Starburst?** I specially like that Starburst has an exceptional performance managing complex queries over large datasets. What that platform is fantastic with is processing huge quantities of data quickly so when we want to do detailed analysis, we don’t have to worry about slow downs. It's especially helpful when we're dealing with highly complex queries that span different databases. Querying without needing to physically move the data saves a lot of time and resources. **What do you dislike about Starburst?** While Starburst can be resource intensive with large or complex queries especially. Although it does well with data, when at peak usage, some queries might be slower to process or consume more resources than they should. By doing this however, we end up with delays, particularly when we want to be making analysis out of the real data in real time, or delivering insights immediately, which is very undesirable in a fast pace environment. **What problems is Starburst solving and how is that benefiting you?** Starburst is a solved problem to querying across multiple platforms without the need to consolidate everything in one place. This has speeded up our analysis process to the point where we can run complex queries on disparate data sources such as databases on cloud and on premises. It helps us make more informed decisions faster, get insights, save us time and we spend less resources getting those insights which in turn enhances our operational efficiency. ### 24. Now data workflows feel more streamlined and effective **Rating:** 4.0/5.0 stars **Reviewed by:** Maurice S. | Chief Data Officer, Internet, Small-Business (50 or fewer emp.) **Reviewed Date:** December 26, 2024 **What do you like best about Starburst?** What I love about Starburst is how easy it is to query data across multiple data sources. Either way, we use it to run complex queries across our cloud data warehouses and on premises systems without having to think about the data silos. We’ve seen seamless integration with tools such as AWS Redshift and Google BigQuery which has meant our team can access and analyse data much quicker. More specifically, it is most useful for running analytics at scale to allow us to make data driven decisions faster. **What do you dislike about Starburst?** Starburst’s one downside is that it doesn’t perform well for very large datasets. It does a great job most of the time, but if you have an unusually large dataset it can slow things down. It has meant that we’ve been unable to get real time insights on some of our more complex queries. This can be costly and time consuming to fix and is not good for businesses that run on tight budgets. **What problems is Starburst solving and how is that benefiting you?** The problem of access and Analysis of data from multiple sources in real time has been solved by using Starburst. With it, we can seamlessly query both cloud and on premises data systems without concerning ourselves with moving data around or with silos. It has saved us time, improved coordination between departments and expedited our decision making process. Running complex analytics without having to worry about data incompatibility is particularly useful for it. ### 25. Innovative, and high value adding product for all data users at scale. **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Consumer Goods | Enterprise (> 1000 emp.) **Reviewed Date:** November 07, 2023 **What do you like best about Starburst?** The best part about starburst is the extensive documentation and support for the product itself. The number of features is also a plus and the frequent version updates to the product in general. The UI is very simple to use and easy to understand for the most part. **What do you dislike about Starburst?** One thing I would suggest is for the UI to be more intuitive and more similar to snowflake when it comes to analyzing queries. I would suggest that when I look at a query, the breakdown of operations is more clear (aggregate time, sorting, creating the table, etc.) I would also with there was support for declaratively setting roles through terraform so that it is easier for us to maintain internally. **What problems is Starburst solving and how is that benefiting you?** The problem we see a lot is migrating data between data warehouses and this is where most of the value add is. This helps save immesne time plus costs on our end of migrating data. For example a use case may be bringing SAP data into Google BigQuery. **Official Response from Lauren Kim:** > Hi! Thank you for your valuable feedback on Starburst. We're pleased that you find the documentation, support, features, and regular updates helpful. We appreciate your suggestions for improving the UI’s intuitiveness, especially for query analysis, and your idea for declarative role setting through Terraform. We’re committed to further enhancing your experience and supporting your continued success. ### 26. Starburst works really well. **Rating:** 3.5/5.0 stars **Reviewed by:** Angela L. | Solutions Architect, Small-Business (50 or fewer emp.) **Reviewed Date:** February 21, 2025 **What do you like best about Starburst?** Great help, answers all questions, and responds quickly to first requests. Great product that meets practically all of our demands. Delivery was of good quality and extremely accurate. It needs to improve in a few areas, but nothing that discredits or leaves much to be desired. **What do you dislike about Starburst?** We sometimes experienced delays in the ticket loop. Should make some aspects toggleable to increase flexibility. FTE, multi-tenant, and displaying query history on the console with statistics would be ideal. **What problems is Starburst solving and how is that benefiting you?** When we made starburst available to all corporate members, it transformed the way they saw data. We no longer have delays in delivering information because Trino can connect to numerous databases/datastores by design. ### 27. A versatile platform with robust query capabilities **Rating:** 4.0/5.0 stars **Reviewed by:** Hilary H. | Senior operations analyst, Automotive, Small-Business (50 or fewer emp.) **Reviewed Date:** November 19, 2024 **What do you like best about Starburst?** What I really like about Starburst is how much better it makes managing our scattered data. And we’ve integrated it with S3 and Snowflake to move data in a way that’s not manually moving data. This is incredibly user friendly, and enables us to run SQL queries with minimal hassle which saves us so much time. And just its broad feature set one in particular is that its real time queries ability also keeps our work flows efficient and responsive. **What do you dislike about Starburst?** Starburst’s biggest drawback, for small teams that are scaling, is the cost. It’s also a little more technical to setup and configure than some teams have readily available expertise for. Some of our projects have slowed down due to these challenges as we become more dependent on IT help. While it’s well integrated it can be more complex from a technical perspective so onboarding new team members can take longer and be more difficult. **What problems is Starburst solving and how is that benefiting you?** Breaking down data silos is one thing I love about Starburst, because we can query multiple sources all in one place, e.g. Google Cloud and on premises databases. We’ve spent tons of time manually merging data and it’s saved us that time. It’s easy to manage the large datasets because of its smooth integration and features like the SQL based system. This has been a game changer to decision making as it helps us make decisions across departments more efficiently, and work quicker on complex analytics. **Official Response from Lauren Kim:** > Thank you for your feedback on Starburst. We're glad to hear that it has streamlined data management, saving you time through seamless integration with platforms like S3 and Snowflake, and enabling efficient SQL querying. We appreciate your insight on the cost and technical setup challenges for smaller teams, and will keep that in mind. We look forward to supporting your continued success. ### 28. Simplifying complex data integration for faster insights **Rating:** 4.5/5.0 stars **Reviewed by:** John M. | IT Contingency Planning Specialist, Computer Hardware, Small-Business (50 or fewer emp.) **Reviewed Date:** November 16, 2024 **What do you like best about Starburst?** My all time favorite thing about Starburst is its ability to rapidly query data from multiple sources. Through integration with tools like AWS, Google Cloud and Snowflake we can run complex queries without having to move the data around. Intuitive interface makes it easy for teammates of disparate technical levels to get going. This is fast – perfect for querying a huge dataset that has made our data analysis process very efficient. **What do you dislike about Starburst?** Starburst is not without its flaws – it can take quite a while to learn during the setup phase making it a very steep learning curve. Everything needs to be configured correctly and it might be difficult for smaller teams to manage. Also its pricing tends to be difficult for smaller businesses with limited budgets since as the query volume increases, the costs rise further, rendering it less budget friendly for teams that want to scale cheaply. **What problems is Starburst solving and how is that benefiting you?** With Starburst, the need to move data between platforms has been eliminated, eliminating the hassle and delaying the analyzing of information. It has simplified cross department collaboration and sharing of data by integrating with tools like AWS and Google Cloud. We found this has helped us make better decisions faster, spent less time getting and stitching together data. All up, it’s been an overall more efficient and productive workflow. **Official Response from Lauren Kim:** > Thank you for your feedback on Starburst. We understand the challenges with the steep learning curve during setup and the pricing for smaller teams, and we appreciate your insights. It's great to hear that Starburst has simplified collaboration and enabled faster, data-driven decisions, contributing to a more productive workflow overall. We look forward to continuing to support your success. ### 29. Reliable performance for large-scale data management **Rating:** 4.5/5.0 stars **Reviewed by:** Kaur R. | Technology Solutions Architect, Information Technology and Services, Small-Business (50 or fewer emp.) **Reviewed Date:** November 14, 2024 **What do you like best about Starburst?** My favorite thing about Starburst is its awesomeness at querying data from multiple sources without having to move or transform data into a central repository. This saves us huge amounts of time and resources. It works with platforms like Tableau and Apache Kafka thus making our data visualization and real time analysis. We have been able to quick query large datasets with its efficient distributed query engine, increasing our team’s productivity. **What do you dislike about Starburst?** A disadvantage of Starburst is that execution often requires resources in some cases it affects the general performance of the system particularly when retrieving data on large scale. This has caused some delay at times that hampers quick analysis primarily during high traffic usage occasions. Also, to set it up and fine tune it for sophisticated searches needed some real heavy work and knowledge, which could sometimes be a problem for teams without applied data scientists. **What problems is Starburst solving and how is that benefiting you?** Starburst solves the problem of stored data being in silos by making available to us the ability to access and query information within different data sources without doing complex ETL. They’ve certainly greatly benefitted our workflow by offering fast and unified insights, and thus faster data driven decisions. It has given our teams the ability to work more effectively, minimises reliance on centrally maintained data warehouses and shortened our reporting time, reducing our overall operational efficiency. **Official Response from Lauren Kim:** > Thank you for your feedback on Starburst. We're glad its ability to query data from multiple sources without moving it has saved you time and resources, and that its integration with Tableau and Apache Kafka has enhanced your team's productivity. We're also pleased to hear how Starburst has streamlined your workflow, reduced reporting time, and enabled faster, data-driven decisions. We look forward to supporting your continued success. ### 30. The best distributed query engine for massive parallel processing across heterogeneous platforms' data. **Rating:** 4.5/5.0 stars **Reviewed by:** Abhishek Singh B. | Senior Platform Engineer and Administrator, Enterprise (> 1000 emp.) **Reviewed Date:** August 27, 2024 **What do you like best about Starburst?** Starburst Insight to monitor all the admin activities. BIAC feature which helps us to completely move out from Ranger dependencies for access control mechanism. Superfast for processing large HDFS datasets compared to all other available mediums like Hive engine, etc. NoSQL databases can be read in an SQL manner which helps us to derive better reports. Push-down enable/disable feature which helps to decide if workload should be executed at the Trino engine or host engine based on benchmark results. Easy setup & upgrade. Very easy to implement. Easy to integrate with any THP (Third party tool). Customer Support is very helpful and easily approachable. **What do you dislike about Starburst?** The only thing I can think of regarding ETL-related data pipeline work execution is that it is still not very feasible in Starburst. **What problems is Starburst solving and how is that benefiting you?** EDL users are happy after migrating from Hive engine to Trino engine due to good performance. HDFS data querying was the biggest problem for existing users, which Trino has solved. As we can connect heterogeneous data platforms using Trino to perform analytics, and due to this feature, data movement and data engineering costs have gone down significantly. **Official Response from Lauren Kim:** > Hi Abhishek! Thank you for your detailed feedback on Starburst. We’re thrilled that features like Starburst Insights, BIAC, and the push-down enable/disable option have positively impacted your work. We appreciate your note on the ETL-related data pipeline execution and will consider it for future improvements. It's great to hear that migrating to Trino has enhanced your team's performance, reduced costs, and solved key challenges with HDFS data querying. We look forward to continuing to support your success. ### 31. Powerful data querying across multiple platforms **Rating:** 4.5/5.0 stars **Reviewed by:** Cristian N. | Business Intelligence Developer, Internet, Small-Business (50 or fewer emp.) **Reviewed Date:** November 11, 2024 **What do you like best about Starburst?** I really appreciate how Starburst keeps everything very simple to access and analyze data from all the different data sources and it’s all in real time. Integrating with cloud data warehouses like AWS Redshift and Google BigQuery means that we can work faster and can concentrate on figuring out insights rather than connecting. It enhanced our overall data, from the duplication to moving to data, and overall data workflow and productivity. **What do you dislike about Starburst?** Starburst has great functionality and whilst lots of people find it helpful, it has some performance issues when dealing with very large datasets. And setting everything up was more complex a challenge than anticipated, especially so when I considered integrating all the data sources. Our analysis was slowed down by the fact that at times the software lagged when running complex queries. Also, it can sometimes be difficult to resolve performance issues if not someone with knowledge on the system. **What problems is Starburst solving and how is that benefiting you?** Starburst eliminates the problem of scattered data and slow data search over different platforms. Centralized data queries eliminate data transfers or replication and allows by means of it. What that has accomplished is slipped data analysis into our workflows, freeing up more time for us as a team to work on actionable insights. The business has been revolutionized by our ability to easily gain access and analyse data from a multitude of sources and implement a decision. **Official Response from Lauren Kim:** > Thank you for your feedback on Starburst. We're glad its ability to simplify access to real-time data from multiple sources and cloud warehouses . We understand the challenges with performance on large datasets and the complexity of setup, especially during integration, and we appreciate your insights. We're committed to improving these areas and are thrilled that Starburst has helped revolutionize your data processes, enabling more efficient workflows and smarter business decisions. ### 32. More than meets the requirement **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Entertainment | Mid-Market (51-1000 emp.) **Reviewed Date:** April 23, 2025 **What do you like best about Starburst?** Really appreciate the quick turnaround time for resolving any issues. **What do you dislike about Starburst?** The pricing is much on the higher side. Plus when it comes to renewal the annual escalation is high. **What problems is Starburst solving and how is that benefiting you?** We have huge data of user activities playing different types of games on our various versions of app on android, iOs etc. Through distributed processing, Starburst has been able to provide optimal performance even with immensely high data volumes. ### 33. Starburst as query engine with modern gdpr comliant datalake **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in Real Estate | Mid-Market (51-1000 emp.) **Reviewed Date:** December 04, 2024 **What do you like best about Starburst?** Super easy to manage. Good query editor. Responsive autoscaling with good performance in query execution. Support for different datasources and federated query execution. Great customer support. Easy to implement and start using starburst galaxy. **What do you dislike about Starburst?** Catalog features are still basic and lack certain functionalities. Its a lot of manual effort to maintain access policies as we have to add each schema/table while creating policies. We are missing AI features to convert text to queries, optimize certain queries etc. **What problems is Starburst solving and how is that benefiting you?** We are using it as query engine to read data from datalake and use it in for creating analytical usecases in the company. We use it from our BI tool MicroStrategy and data discovery tool/catalog Alation. ### 34. Efficient solution for data queries across multiple sources **Rating:** 4.0/5.0 stars **Reviewed by:** Ameer H. | Healthcare Data Scientist, Pharmaceuticals, Mid-Market (51-1000 emp.) **Reviewed Date:** September 17, 2024 **What do you like best about Starburst?** When it comes to what I like most about Starburst, I believe that one of the greatest benefits is the ability to run highly complicated queries on many data sources simultaneously, and the fact that it can do it without having to shuffle the information. This makes our analysis work much easier. Integrating with reporting tools like Tableau improves our reporting by adding rich visualization on top of the provided data. The ability to quickly and effectively process complex questions further enhances the value of detailed data analysis. **What do you dislike about Starburst?** The only issue that may be associated with using Starburst is the relatively high cost structure that may not be sustainable for teams and businesses of a moderate size. Due to this, it becomes quite challenging to justify the cost against the benefits that come with using this device. Additionally, although it is robust in many ways, there is always the issue of slow query speed when dealing with very large datasets. This occasional lag can cause havoc for data analysis and decrease the overall efficiency. **What problems is Starburst solving and how is that benefiting you?** Starburst has revolutionized the manner in which I am able to process data from various sources as an organization. Before, consolidation of data was time consuming but today the queries that would have taken a lot of time can easily be run across different databases. It has enhanced effectiveness and expedited decision making. Another advantage that has emerged from interconnection with BI tools for additional reporting is the enhanced refinement of the strategic plans and analyses of data. **Official Response from Lauren Kim:** > Hi Ameer, Thank you for your valuable feedback on Starburst. It's great to hear that Starburst has revolutionized your data processing and expedited decision-making, especially through enhanced integration with BI tools. We appreciate your concerns regarding the cost structure and occasional slow query speed with large datasets, and we’re always looking for ways to optimize the platform. We look forward to continuing to support your success! ### 35. This advanced query engine significantly improves data analysis **Rating:** 4.5/5.0 stars **Reviewed by:** Laura O. | Senior Data Scientist, Accounting, Small-Business (50 or fewer emp.) **Reviewed Date:** September 06, 2024 **What do you like best about Starburst?** In my perspective, probably one of the potent aspects of Starburst is its powerful query engine since it offers broad queries for big streams of data and inquires from many sources. It has been quite useful to compile data from a number of data bases into one and easy to analyze from the same platform. Since it interconnects with data warehouses and BI tools, we can generate vast reports and analyses without moving much information. This has enhanced our decision making as well as operations in general. **What do you dislike about Starburst?** Starburst eliminates the issues associated with data discovery and management for large scale analytics and queries since it is a single platform that serves as a powerful data processing tool. It has been possible to create summative reports and analyses that would have otherwise required amalgamation of data across various systems. Consequently, our team can quickly make more effective decisions, thus improving the general team performance and strategy development. **What problems is Starburst solving and how is that benefiting you?** Starburst serves to fill the gap of data access and processing from multiple sources by offering a single complex data analysis solution. This capability has helped in creating greater reports and analysis that do not require the need to pull data from various systems. Therefore, the team can respond quickly to problems and opportunities and make more sound decisions, thus increasing organizational efficiency and effectiveness of the strategic management process. **Official Response from Lauren Kim:** > Hi Laura, Thank you for your thoughtful feedback on Starburst. We're pleased to hear that the integration with data warehouses and BI tools has streamlined your reporting and analysis processes. We appreciate your insights on how Starburst has helped your team quickly respond to challenges and opportunities, enhancing overall performance and strategy development. We're committed to supporting your continued success. ### 36. Unified data queries significantly enhanced our productivity **Rating:** 4.5/5.0 stars **Reviewed by:** Philippe H. | Senior Data Engineer, Mechanical or Industrial Engineering, Mid-Market (51-1000 emp.) **Reviewed Date:** September 06, 2024 **What do you like best about Starburst?** I think the most useful function of Starburst is its capacity to query several sources at once. What makes it stand out is that it excels particularly well with big data, which eventually allows for quicker processing. How it connects to other applications such as Tableau for dashboards and Apache Kafka for real time data feeding improves our total effectiveness. I have found this unified approach to data management as a marked improvement in our analytical functions. **What do you dislike about Starburst?** The main downside is that Starburst may become resource intensive, which results in some implications for performance with very large data sets. This can hamper our analysis and the overall productivity of the workflow. Furthermore, system setup and configuration is not very intuitive and this has made initial training time long for new users. Sometimes these issues have led to a decline in our productivity and more effort was needed to handle them. **What problems is Starburst solving and how is that benefiting you?** Starburst eliminates the challenge of dealing with an array of data sources and querying through unified software. This has helped us in analyzing our data in a faster way as we can now integrate datasets from different systems into one easily. In terms of benefits the unified approach has to offer, we have noted that it has enhanced our efficiency as more insights can be produced and more decisions made within less time. All in all, it has helped in improving the capacity to meet quick business needs and opportunities. **Official Response from Lauren Kim:** > Hi Philippe! Thank you for your insightful feedback on Starburst. We're glad to hear that its ability to query multiple sources and handle big data, as well as its integration with tools like Tableau and Apache Kafka, has significantly improved your analytical functions and efficiency. We appreciate your input regarding resource intensity and the challenges with setup and configuration, particularly for new users. These are important considerations, and we’re committed to improving these areas. ### 37. Complex queries aren't problem anymore **Rating:** 4.5/5.0 stars **Reviewed by:** Daniele R. | Senior Database Administrator, Health, Wellness and Fitness, Mid-Market (51-1000 emp.) **Reviewed Date:** September 03, 2024 **What do you like best about Starburst?** The most appealing aspect of Starburst in my opinion is the ability to have all the data in a single query layer. This makes its based on SQL interface ideal for complex query across numerous systems without overburdening by the data. I appreciate its ability to work alongside our current data structure, and the real time nature of the data obtained from it. This has improved the effectiveness of the analytical work we do and how we make decisions. **What do you dislike about Starburst?** Starburst is not as optimal as it could be when used on data sets of very large sizes. It is common for the query to be processed for more time than is desired by the user, a condition that affects the efficiency levels. Further, while the SQL interface is rich, novices will find difficulty in using it for they will have to learn SQL to perform operations. These have almost at one time given rise to problems that include latency and sometimes necessitated additional time to enhance query performance . **What problems is Starburst solving and how is that benefiting you?** Starburst is the solution to the problem of consolidation and all data from different sources into one convenient platform. This has been highly beneficial in the organization because it makes the querying and analysis of data from various systems easy. It has provided flexibility in terms of achieving greater productivity, faster and with better decision making by allowing real time data processing. It also decreases the required amount of data preparation, which helps us to concentrate on the analysis. **Official Response from Lauren Kim:** > Hi Daniele! Thank you for sharing your feedback on Starburst. We're pleased that the platform’s ability to consolidate data into a single query layer has improved the efficiency of your analytical work and decision-making processes. We understand your concerns regarding performance with very large datasets and the learning curve for SQL for less experienced users. These insights are valuable, and we’ll continue to explore ways to enhance query performance and ease of use. We look forward to supporting your ongoing success. ### 38. Efficient querying solution across multiple data sources **Rating:** 4.5/5.0 stars **Reviewed by:** Karche G. | Senior Data Architect, Construction, Small-Business (50 or fewer emp.) **Reviewed Date:** September 01, 2024 **What do you like best about Starburst?** What I consider most impressive is the way Starburst can query data from multiple sources as long as it doesn’t have to move or duplicate them. Namely, it has helped to optimize our work process, providing better data processing from such sources as AWS S3 and PostgreSQL. The key enhancement offered by the software has been ability to handle complex queries and integrate well with the current data architecture, which has significantly boosted our ability to identify and use data analytics in decision making. **What do you dislike about Starburst?** One area that may be tricky in Starburst is the setup and configuration of the platform. While the platform is highly versatile, fine tuning how it interacts with different data sources can be surprisingly cumbersome at times. This has taken a lot of time to set up initially and has required a more technical team from us than we had anticipated. Moreover, inexperience is a concern that can result in a time consuming period before they can start contributing which has been an issue. **What problems is Starburst solving and how is that benefiting you?** Starburst helps solve the problem of data scattering because with it, one can query data from different sources while the sources do not have to be incorporated into a single database. This capability has rectified one of the biggest limitations we used to have in terms of real time data access and analysis. It has streamlined the process, reduced the amount of time spent on data preprocessing and let’s concentrate on analysis and decision making. Thus, the operation has become increasingly more impersonal and based on received information. **Official Response from Lauren Kim:** > Hi Karche! Thank you for your thoughtful feedback on Starburst. We're glad to hear that its ability to query data from multiple sources without moving or duplicating it has optimized your workflow and enhanced your data analytics capabilities. We appreciate your insights on the challenges with setup and configuration, and we understand how fine-tuning for different data sources can be time-consuming. We’ll continue to work on making the platform even more user-friendly for teams like yours. ### 39. We finally found a way to improve data processes and decision making in our company **Rating:** 4.5/5.0 stars **Reviewed by:** Aira B. | Senior Data Engineer, Information Technology and Services, Small-Business (50 or fewer emp.) **Reviewed Date:** August 18, 2024 **What do you like best about Starburst?** What I like most about Starburst is that it assimilates well with tools like Tableau and AWS S3 to perform queries on data without any hindrance. In this case, it is very friendly to use and hence, does not cause a difficulty when dealing with large datasets. Starburst is wonderful because it enables me to query other sources while still being at the data, no more moving the data around all the time! I especially like the functionality of dealing with different kinds of data, which definitely makes the work of my team more effective. **What do you dislike about Starburst?** A drawback of Starburst is the complex setup that can be technically challenging, especially if the team tries to implement it in systems that do not allow it easily. There were certain challenges that we experienced during the implementation process and this hampered our schedule a little. Moreover, the reaction of customer support was not as fast as we expected, which made the problem solving stage longer than it could be. Some of these issues caused some frustration, especially when we were still setting up the various software solutions. **What problems is Starburst solving and how is that benefiting you?** Starburst solves the problem of working with data in different sources without having to physically move the data, which has been a significant boost in our data handling processes. This has been of benefit to our team as it has reduced the time spent in data management and we are left with the analysis part. Its simple and many functions enable us collect information fast and thus work more effectively and make better decisions. **Official Response from Megan Kemphaus:** > Thank you, Aira, for your feedback! We're glad Starburst is improving your data processes and decision-making, and we appreciate your insights on areas where we can improve. ### 40. A true game changer for many data querying processes **Rating:** 4.0/5.0 stars **Reviewed by:** Harold M. | Senior Data Engineer, Information Technology and Services, Small-Business (50 or fewer emp.) **Reviewed Date:** August 18, 2024 **What do you like best about Starburst?** One point worth considering is that Starburst is designed to work with various data sources which means that data processing is a lot easier. The plethora of features it has especially on querying large is quite helpful in enhancing our work progression. We have connected it to other applications such as our BI tools and the data lake and no problems have arisen from it. This integration capability is a game changer because it eliminates the difficulty in managing data from multiple sources thus enhancing our workflow. **What do you dislike about Starburst?** Overall, the main drawback of Starburst is that it is not very easy to set up, particularly for first time users. This resulted in some discrepancies in our work schedule as we anticipated in our project plan. Furthermore, owing to our rarity in its application, it took extra time to familiarise ourselves with it. The customer support is also not up to the mark at some times, they take more time to reply and on occasions this delay has messed up our working schedule as we needed immediate help. **What problems is Starburst solving and how is that benefiting you?** It has been advantageous for Starburst to revolutionize the case of managing data across multiple sources. Before, on the other hand, acquiring data was quite a task and made our operations very slow. Now with Starburst, I can query the data from different platforms without moving and this has enhanced our working rate and decision making processes. Besides, it has positively influenced our team’s efficiency and helped to prioritize more important strategies rather than spending time on such matters as data processing. **Official Response from Lauren Kim:** > Hi Harold! Thank you for your valuable feedback on Starburst. We’re thrilled that the integration capabilities and ease of processing data from multiple sources have enhanced your workflow and decision-making. We also appreciate your honesty regarding the challenges with setup and customer support response times. We’re actively working to simplify the onboarding process and improve our support to better meet your expectations. Your insights are invaluable, and we look forward to continuing our partnership and supporting your success. ### 41. Starburst - A best of breed Data Lakehouse **Rating:** 5.0/5.0 stars **Reviewed by:** Dinesh D. | Big Data, AI and Architecture, Enterprise (> 1000 emp.) **Reviewed Date:** July 29, 2024 **What do you like best about Starburst?** Starburst has been a much needed upgrade from our opensource presto and CDH approach for our Data Lake and Lakehouse needs. Our vendor experience with Starburst has been top notch, with their exceptional architects working hand in hand with us throughout the process. They have been willing to address new feature requests and even turn them around very quickly. They have been a great partner willing to take our inputs to their product roadmap and have executed flawlessly for the past 5 years that we have worked with them. Their user friendly interface has constantly had new upgrades all the time and a great hit with our customer base. **What do you dislike about Starburst?** Starburst is a niche player in the Datalakehouse space and while they are a connector company and work with other products in the ecosystem, we wish they were a player that brings the same high standards to other areas of the data ecosystem. **What problems is Starburst solving and how is that benefiting you?** Starburst has helped us roll out our Data Lake to a larger audience , due to the ease of access, while still allowing the fine grain access control that our company demands. **Official Response from Megan Kemphaus:** > Thank you, Dinesh, for your detailed review! We're thrilled to hear that Starburst has enhanced your data lakehouse experience and that our team has been a valuable partner in your journey. We appreciate your feedback and look forward to continuing our collaboration to bring even more value to your data ecosystem. ### 42. We fixed many issues with efficient data access and querying solution **Rating:** 4.0/5.0 stars **Reviewed by:** Zdenek Z. | Senior Data Analyst, Research, Mid-Market (51-1000 emp.) **Reviewed Date:** June 25, 2024 **What do you like best about Starburst?** I personally favor Starburst for its enhancement on the query aspect and the numerous features it brings to the table. The ability to work with several sources at once is very useful and simplifies the process of querying data a lot. It has many features and I like that I can always get help from customer support when I need something explained to me. It has only been used more frequenlty in our team due the reliable and fast results it produces making it one of the most useful tools in the team. **What do you dislike about Starburst?** The one thing that I do not like with regards to Starburst is the fact that its interfaces are very confusing. Many of its features are not immediately obvious and can be confusing to a new user, therefore, making it take a steep learning curve. These make our onboarding time consuming occasionally leading to usage blunders. In addition, documentation is not as detailed as they ought to be, making it hard to address problems as soon as possible. These problems contribute to the decreased productivity and longer time taken to train new employees. **What problems is Starburst solving and how is that benefiting you?** Starburst addresses the problem of organizing data available from various sources and querying them. Indeed it has eased our working by providing insights which enable us to make good decisions within shorter time. To me and my colleagues, it translates as less time on waiting for data and more time conducting data analysis. This efficiency helps us in managing our projects better and complete our work in the time that is set for it. The compatibility with other software creates a strong and well coordinated environment in data processes. **Official Response from Megan Kemphaus:** > Hi Zdenek, We're delighted that Starburst has enhanced your data querying efficiency and supports your team's productivity. Thank you for your feedback on the interface and documentation; improving these is a priority for us. If you need assistance or have suggestions, please reach out! Best, Megan ### 43. Discover the ultimate solution for data querying **Rating:** 4.0/5.0 stars **Reviewed by:** Segreteria K. | Business Intelligence Manager, Professional Training & Coaching, Mid-Market (51-1000 emp.) **Reviewed Date:** June 19, 2024 **What do you like best about Starburst?** One thing that strikes me about Starburst is that it can issue queries across many different sources of data quickly without having to stream the data about. This has reduced my time to prepare the data and our efficiency has improved greatly as a result. Besides, the customer support is great, they are always available when we have issues. The software work is rather efficient and is not fraught with failures or crashes, thus, our tasks are solved effectively. **What do you dislike about Starburst?** One disadvantage apparent with Starburst is that, it is quite complex to set up and this needed a lot of time and technicality to accomplish. This affected us in the sense that it slowed down our productivity especially in starting the activities of the day. Furthermore, the large number of features is a bit challenging for newcomers and may increase the time learners need to understand the product fully. These challenges we identified delayed our first implementation and training cycles. **What problems is Starburst solving and how is that benefiting you?** Starburst makes the challenge of data fragmentation easier to address because we are able to query the data across different sources and types without the need to move the data. This has enhanced the data availability and also cut the time taken in data integration mechanism drastically. Besides, it adds value to our team since there is an opportunity to perform analyses and provide reports that contribute to faster decision making. ### 44. Easy to implement and manage, security documentation from vendor side could be better. **Rating:** 4.5/5.0 stars **Reviewed by:** Tomas S. | Systems Engineer, Enterprise (> 1000 emp.) **Reviewed Date:** December 03, 2024 **What do you like best about Starburst?** Easy to implement an manage, customer support is very responsive/knowledgable. **What do you dislike about Starburst?** Documentation on best security configuration practices could be better. **What problems is Starburst solving and how is that benefiting you?** Improving query performance and I would say reduces our costs. ### 45. Finally we improved data integration and analysis in our company **Rating:** 3.5/5.0 stars **Reviewed by:** Francesca G. | Senior Data Analyst, Information Technology and Services, Small-Business (50 or fewer emp.) **Reviewed Date:** June 13, 2024 **What do you like best about Starburst?** Starburst outperforms when it comes to the compatibility that has made it easy to fit in our current data ecosystem, Apache Kafka, and AWS S3. It has an easy to use SQL front end that makes searching multiple data sets possible even for those who do not have a database background. Also, its high performance guarantees a fast connection to vast amounts of data, needed for analytics, to us. These capabilities greatly improve our ability to extract insights for decision making that is valuable for the business. **What do you dislike about Starburst?** The only issue that I have with Starburst is that traffic can cause the system to slow down, somewhat annoying to me. Also, the reply to the customer support is not always immediate, which may prove to be a bother at some point. These weaknesses have every now and then led to time overruns and have to some extent affected our productivity in that they have put a lot of strain on our ability to meet our deadlines. **What problems is Starburst solving and how is that benefiting you?** Multiple issue for querying data is very well handled by Starburst and this is because it addresses the issue of querying data with multiple sources. It helps to define a working flow of data analytics when used in connection with Apache Kafka and AWS S3. It improves the decision making capability not only through timely intelligence but also increases efficiency in the sense of eliminating time taken in data preparation. Taking into account the nature of Starburst in general, the organization has revolutionized the culture of data analysis with a focus on flexibility and demand from businesses. **Official Response from Megan Kemphaus:** > Hi Francesca, we appreciate that you took the time to leave Starburst a review! Your feedback is valued to us, and will be reviewed by our team to make sure we're providing the best customer experience. ### 46. Now our management of complex queries is super simple! **Rating:** 4.5/5.0 stars **Reviewed by:** Erica M. | Business Intelligence Developer, Legal Services, Small-Business (50 or fewer emp.) **Reviewed Date:** June 09, 2024 **What do you like best about Starburst?** The most valuable use of Starburst for our team is the centralization of different data sources to combine them in one place to execute queries. This consolidation has clearly eradicated the problem of having to deal with numerous data store houses and has made our analytical exercises easy and effective. There is seamless compatibility of this tool with other business inteligence tools we are already using in our organization, thus we were able to refine our other applications. These improvements have been made possible by the harmonious integration of these separated processes. **What do you dislike about Starburst?** The only issue I have with Starburst is the latency that comes with it especially when working with big data. Such a delay can compromise our data analysis processes and decrease the business’s operational productivity. However, it should also be mentioned that the initial setup process was long and required a lot of efforts and deep technical knowledge. Such difficulties have at times required delaying certain projects thus making it hard to stick to strict timelines. **What problems is Starburst solving and how is that benefiting you?** Overall, I have found Starburst as a perfect fit to address our data fragmentation issues since I don’t have to replicate data into my data marts before querying them. It has enhanced the automation of our data collection process and analysis which has made it easier to make better decisions in a shorter time. Incorporation with some of our previous tools has enhanced our working efficiency by providing an idea about our data as a whole, which was very challenging to consider beforehand. **Official Response from Megan Kemphaus:** > Hi Erica! Thank you for sharing your review with us. We appreciate the feedback! Best, Megan ### 47. Experience as starburst admin **Rating:** 3.5/5.0 stars **Reviewed by:** Ashutosh V. | Senior BI Platform Support Engineer, Enterprise (> 1000 emp.) **Reviewed Date:** August 27, 2024 **What do you like best about Starburst?** Ease of Use Number of Features Ease of Implementation Customer Support **What do you dislike about Starburst?** No alerting features in starburst for memory , cpu, execution time etc **What problems is Starburst solving and how is that benefiting you?** Starburst is facilitating users/system to connect to data sources/data ware houses in a seamless ways so that they can do big query analytics without issues. **Official Response from Lauren Kim:** > Hi Ashutosh! Thank you for your feedback on Starburst. We’re glad to hear that you find the platform easy to use, feature-rich, and seamless to implement. We also appreciate your suggestion regarding the lack of alerting features for memory, CPU, and execution time, and we will take it into consideration for future updates. We're committed to enhancing your experience and look forward to supporting your continued success. ### 48. The best ever data lake analytics platform to discover, organize, consume data & data processing. **Rating:** 4.5/5.0 stars **Reviewed by:** Sateesh W. | Programmer trainee, Enterprise (> 1000 emp.) **Reviewed Date:** September 27, 2023 **What do you like best about Starburst?** In starburst we can be able to understand the memory usage, CPU usage, Top Users and total number of failed and succeeded queries using the graphical view at the same time, easy to use tool for data analytics, data engineering, data science. although we can use cloud storage utilization to provide elasticity. it provide fastetst & efficient analytic engine for data warehouse, data lake, data mesh. can also check the queries details according to the date wise – where we can see the cluster size, memory, CPU usage and queued queries. **What do you dislike about Starburst?** Charges applies high but the product is good, I've never seen any drawbacks till now since i'm using in my current project in Gilead. **What problems is Starburst solving and how is that benefiting you?** Sometime if i'm querying for lacks of data it hits me an error, sometime URL's doesn't work, however we get support team immedeatly to sort out the issue in Dev, Test, Production environment quickly but it often happes twice or trice in a month, should be improved. **Official Response from Megan Kemphaus:** > Thank you Sateesh for taking time to share this! We appreciate your feedback. ### 49. No more waiting for a pixels dry! **Rating:** 5.0/5.0 stars **Reviewed by:** Raimundas J. | Enterprise (> 1000 emp.) **Reviewed Date:** November 07, 2023 **What do you like best about Starburst?** Starburst leverages the power of Trino to offer a high-performance and scalable SQL query engine that has significantly optimized our data analysis and business intelligence operations. The application excels in its ability to perform fast analytics across various data sources without the need for migration, providing a seamless and unified querying layer. **What I like best:** 1. **Federated Queries:** Starburst's federated querying capability is a game-changer. It allows us to query data across different sources such as Hadoop, S3, or even relational databases like MySQL, and PostgreSQL, with ease. This means there’s no need for complex ETL processes to move data around, saving time and reducing the risk of errors. 2. **Performance Enhancements:** Starburst provides additional performance enhancements over Trino's already fast query engine. It optimizes query execution to minimize latency and maximize efficiency, which is vital for our large datasets and complex queries. 3. **Security Features:** Enterprise-grade security is another standout feature. Starburst provides added layers of protection including data encryption, access controls, and integration with our existing security systems. This ensures our data is not only quickly accessible but also secure. 4. **Scalability:** The scalability of Starburst is impressive. As our data demands grow, Starburst scales with us, ensuring that our analytical capabilities can keep pace with our expanding data footprint without degradation in performance. 5. **Professional Support and Services:** Access to professional support and services ensures that any issues are promptly addressed, and we can also optimize our usage of Starburst with expert guidance. In conclusion, Starburst provides a robust solution for organizations looking to harness the full power of Trino with additional enterprise capabilities. Its ability to query across various data sources efficiently, enhanced performance, and strong security measures make it an invaluable tool for any data-driven enterprise. **What do you dislike about Starburst?** Every time customer adds data source application needs to be rebuilt. It takes time and effort like change control in financial instituion. We need ability to add data soures from UI. **What problems is Starburst solving and how is that benefiting you?** Speeding up database calls. ### 50. One of the best product & outstanding service **Rating:** 5.0/5.0 stars **Reviewed by:** Dominie J. | Enterprise (> 1000 emp.) **Reviewed Date:** November 08, 2023 **What do you like best about Starburst?** Easy to implement, great productivity. Starburst team's support is amazing. They take all our feedback seriously and try to incorporate the required features in the future releases. Simplifies lot of our business problems. One of the key component for data federation in our Data Mesh architecture. **What do you dislike about Starburst?** Nothing. Great experience so far. Thank you! **What problems is Starburst solving and how is that benefiting you?** We follow the data mesh architecture with datahubs specific to each Domain. Staurburt Trino is used as the data federation layer on top of all the datahubs to build business insights & make faster decisions. **Official Response from Megan Kemphaus:** > We are thrilled to hear that you are having an outstanding experience with Starburst! Thank you for your positive feedback and for sharing how Starburst is benefiting your business. ## Starburst Discussions - [What does Starburst do?](https://www.g2.com/discussions/what-does-starburst-do) - [What is Starburst Presto?](https://www.g2.com/discussions/what-is-starburst-presto) - [What is Starburst tech?](https://www.g2.com/discussions/what-is-starburst-tech) - [What does Starburst data do?](https://www.g2.com/discussions/what-does-starburst-data-do) - [View Starburst pricing details and edition comparison](https://www.g2.com/products/starburst/reviews?section=pricing&secure%5Bexpires_at%5D=2026-05-17+03%3A17%3A06+-0500&secure%5Bsession_id%5D=7dddb49b-27cd-4071-b5a0-c0de8286d77e&secure%5Btoken%5D=36861c3f52daf7fa503481409d5d76e353d735a704a3203cef2938e57ffd6245&format=llm_user) ## Starburst Integrations - [AWS Batch](https://www.g2.com/products/aws-batch/reviews) - [AWS Glue](https://www.g2.com/products/aws-glue/reviews) - [Azure Databricks](https://www.g2.com/products/azure-databricks/reviews) - [Cloudera Data Platform](https://www.g2.com/products/cloudera-cloudera-data-platform/reviews) - [Databricks](https://www.g2.com/products/databricks/reviews) - [dbt](https://www.g2.com/products/dbt/reviews) - [Microsoft Power BI](https://www.g2.com/products/microsoft-microsoft-power-bi/reviews) - [Strategy One (formerly MicroStrategy ONE)](https://www.g2.com/products/strategy-one-formerly-microstrategy-one/reviews) - [Tableau](https://www.g2.com/products/tableau/reviews) ## Starburst Features **Data Management** - Data Integration - Data Compression - Data Quality - Built-In Data Analytics - In-Database Machine Learning - Data Lake Analytics **Database** - Real-Time Data Collection - Data Distribution - Data Lake **Data Transformation** - Real-Time Analytics - Data Querying **Integration** - AI/ ML Integration - BI Tool Integration - Data lake Integration **Integrations** - Hadoop Integration - Spark Integration **Deployment** - On-Premise - Cloud **Platform** - Machine Scaling - Data Preparation - Spark Integration **Connectivity** - Hadoop Integration - Multi-Source Analysis - Data Lake **Performance ** - Scalability **Processing** - Cloud Processing - Workload Processing **Operations** - Data Visualization - Data Workflow - Governed Discovery - Embedded Analytics - Notebooks **Security** - Data Governance - Data Security **Generative AI** - AI Text Generation - AI Text Summarization **Building Reports** - Data Transformation - Data Modeling - WYSIWYG Report Design - Integration APIs **Platform** - Mobile User Support - Customization - User, Role, and Access Management - Internationalization - Sandbox / Test Environments - Performance and Reliability - Breadth of Partner Applications ## Top Starburst Alternatives - [Dremio](https://www.g2.com/products/dremio/reviews) - 4.6/5.0 (64 reviews) - [Databricks](https://www.g2.com/products/databricks/reviews) - 4.6/5.0 (744 reviews) - [Snowflake](https://www.g2.com/products/snowflake/reviews) - 4.6/5.0 (686 reviews)