Redpanda vs Starburst Enterprise comparison

Redpanda Data and Starburst are both solutions in the Streaming Analytics category. Redpanda Data is ranked #16 with an average rating of 8.8, while Starburst is ranked #14 with an average rating of 8.5. Redpanda Data holds a 1.0% mindshare in SA, compared to Starburst’s 3.5% mindshare. Additionally, 100% of Redpanda Data users are willing to recommend the solution, compared to 100% of Starburst users who would recommend it.

Redpanda

Read 4 Redpanda reviews

249 Views
98 Comparison Views

100% willing to recommend

Starburst Enterprise

Read 2 Starburst Enterprise reviews

808 Views
213 Comparison Views

100% willing to recommend

Redpanda

Starburst Enterprise

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Executive SummaryUpdated on Dec 17, 2024

Starburst Enterprise and Redpanda are competing in the data processing field. Starburst Enterprise seems to have an advantage in comprehensive querying and analytics features.

Features: Starburst Enterprise provides high-performance SQL-based analytics, allowing integrations across various data sources and offering a comprehensive platform for data-driven decision-making. Redpanda, on the other hand, specializes in efficient data streaming with low latency, supporting rapid real-time data processing and offering a lightweight, developer-friendly interface.

Ease of Deployment and Customer Service: Starburst Enterprise offers flexible deployment options across multiple cloud platforms, catering to various client needs, and provides strong support for complex analytics deployments. Redpanda emphasizes on simplicity with an efficient setup for quick deployment, especially beneficial for real-time applications. Both offer excellent customer service, but Starburst is noted for more comprehensive support in complex scenarios.

Pricing and ROI: Starburst Enterprise requires a substantial initial investment, with returns driven by its powerful querying and data analytics capabilities. This investment may be justified by businesses needing extensive analytics. Redpanda offers a more accessible cost structure, focusing on delivering swift streaming performance for a rapid return on investment, making it a cost-effective solution for companies prioritizing stream processing.

To learn more, read our detailed Redpanda vs. Starburst Enterprise Report (Updated: June 2025).

Buyer's Guide

Redpanda vs. Starburst Enterprise

June 2025

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Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Categories and Ranking

Redpanda

Ranking in Streaming Analytics

16th

Average Rating

8.8

Reviews Sentiment

7.8

Number of Reviews

Ranking in other categories

No ranking in other categories

Starburst Enterprise

Ranking in Streaming Analytics

14th

Average Rating

8.6

Reviews Sentiment

6.9

Number of Reviews

Ranking in other categories

Data Science Platforms (13th)

Mindshare comparison

As of June 2025, in the Streaming Analytics category, the mindshare of Redpanda is 1.0%, up from 0.0% compared to the previous year. The mindshare of Starburst Enterprise is 3.5%, up from 1.5% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Streaming Analytics

Featured Reviews

ArpitShah

Software Analyst at CLSA

Affordable, easy to deploy, and it is easy to find things on the user interface

We use the libraries in the different programming languages. We use the message format in Avro, convert the data in the format, and pass it on. We have contacted the sales team about the solution. So far, the product fulfills our requirements. We get lots of data. The data flows through Kafka to Redpanda. Then it goes to a database. If our infrastructure goes down for a week, we will not lose data. It is an advantage of Redpanda. I recommend the product to others. We might choose a different solution if we find something cheaper. We used Redpanda because we did not want to self-host our software. Redpanda is a piece of infrastructure. There is not much of a learning curve. Overall, I rate the tool an eight out of ten.

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KamleshPant

Senior Software Architect at USEReady

Connects to any data source from any region and offers unified access

There are no specific projects supported by Starburst regarding AI initiatives or machine learning projects. In the future, if we have all the data available, we can definitely capitalize on AI/ML and LLM capabilities to summarize data and gain insights. That's our future goal, but we haven't reached that point yet. There should be support for REST API data sources to access data from the web. We often have data coming in and communicate with data sources via REST API calls. I don't see that capability in Starburst currently; everything is through JDBC or ODBC. If Starburst could seamlessly access data using REST API capabilities, it would be a game-changer. The self-service data management features, like self-service materialized views, are great, but they can be a bit complex for basic users to understand.

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Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Pros

"The UI is modern."

"What makes Redpanda superior is its performance since it's written in C++. C++ is pretty much the standard for high-performance applications."

"I tested it with ten-plus nodes, and it's highly scalable."

"The cost savings have been significant."

"We have noticed improvements in performance using Starburst Enterprise. It handles complex data, including reading and partitioning files. We can add a new catalog to Starburst Enterprise by providing connection details and service account information. This allows us to integrate with existing tools, such as the Snowflake database, which we use for data protection in our project."

"It's very scalable, fast performing, and supports many catalogs."

Cons

"When it comes to self-hosting, their documentation could be improved."

"Recently, for the documentation, they've built their own AI chatbot, which is focused on giving you answers based on their documentation. While using that, I did not find it to be very good."

"The version control mechanism must be improved."

"The command-line tools need to be improved. To quickly check the status of the topics and all."

"Starburst Enterprise could improve by offering additional features similar to those provided by other SQL query tools. For example, incorporating functionalities like pivot tables would make it more feasible to use."

"There should be support for REST API data sources to access data from the web."

Pricing and Cost Advice

"Redpanda is cheaper than its competitors."

"It's free. Everybody can use it, only support is paid."

"I haven't personally dealt with the pricing aspects first-hand, but from what I understand, it largely depends on the specifics of your setup, especially the machines you use on AWS. The cost of using Starburst Enterprise can vary based on the amount of data you're processing and the type of machines you opt for, whether on AWS or another cloud platform."

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Top Industries

By visitors reading reviews

No data available

Financial Services Firm

44%

Computer Software Company

Energy/Utilities Company

Government

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

Questions from the Community

What is your experience regarding pricing and costs for Redpanda?

Redpanda is actually a commercial platform, but they do provide free versions as well. I've been working only with the free versions.

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What needs improvement with Redpanda?

Recently, for the documentation, they've built their own AI chatbot, which is focused on giving you answers based on their documentation. While using that, I did not find it to be very good. Maybe ...

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What is your primary use case for Redpanda?

I have worked with Redpanda for the past two to three months. Mainly in the tech industry or software industry, there's a huge rise of streaming data. Redpanda serves as a very reliable and fast me...

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What is your experience regarding pricing and costs for Starburst Enterprise?

I haven't personally dealt with the pricing aspects first-hand, but from what I understand, it largely depends on the specifics of your setup, especially the machines you use on AWS. The cost of us...

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What needs improvement with Starburst Enterprise?

See all answers

What is your primary use case for Starburst Enterprise?

We use Starburst with one client who is exploring their ecosystem to remove data silos and enable data access across departments. It's a very big ecosystem, like a finance institute. They are curre...

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Product Reports

Buyer's Guide

Redpanda

June 2025

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Buyer's Guide

Data Science Platforms

June 2025

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Overview

Redpanda offers a modern, intuitive interface with efficient resource usage, seamlessly integrating with Kafka, and enhancing performance through fast operations and reliable support. Organizations benefit from its memory efficiency and high performance for demanding data workloads.

Built on a C++ foundation, Redpanda integrates easily with Kafka clients and stands out for fast operations, simplified Docker setup, and effective metrics monitoring. Performance is enhanced by memory efficiency and high throughput capabilities. The community provides robust support, and clear documentation aids the adoption process. However, improvements could be made in version control, command-line tools, and documentation, particularly in areas such as automation file management and chatbot documentation assistance. Redpanda is widely utilized in data streaming and normalization, efficiently handling large telemetry data volumes with minimal latency, essential for building asynchronous applications across microservices and monitoring systems.

What are the most important features of Redpanda?

Modern UI: Provides an intuitive interface for ease of use.
Efficient Resource Usage: Built on C++ for performance optimization.
Seamless Integration: Works well with Kafka clients for smooth operations.
Simplified Setup: Docker templates facilitate easy installation.
Built-in Metrics Exporters: Enhance monitoring and visibility.
High Performance: Ensures memory efficiency and quick data processing.

What benefits and ROI can users expect?

Fast Operations: Accelerates data processing for efficient workflows.
Reliable Support: Strong community aids troubleshooting and development.
Clear Documentation: Helps users quickly onboard and manage Redpanda.
Low Latency: Critical for applications requiring quick response times.
Sub-second Response: Supports demanding performance and latency needs.

Redpanda is commonly implemented in tech and software industries to streamline data streaming and normalization processes, handling high telemetry data volumes effectively. Its capacity for sub-second response times makes it crucial for companies developing asynchronous applications, especially in microservices and monitoring systems.

Redpanda Data

Starburst Enterprise is a data analytics platform that enables organizations to access and analyze data from multiple sources, including cloud-based and on-premises data warehouses. It provides a single access point to all data sources, allowing users to query and analyze data without moving it between systems.

By providing a unified view, Starburst Enterprise helps organizations make better-informed decisions and improve operational efficiency, leading to better customer insights and more accurate forecasting. Overall, Starburst Enterprise is a powerful tool for organizations looking to unlock the full potential of their data.

Starburst

Buyer's Guide

Redpanda vs. Starburst Enterprise

June 2025

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