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Amazon Kinesis vs Starburst Enterprise comparison

Amazon Web Services (AWS) and Starburst are both solutions in the Streaming Analytics category. Amazon Web Services (AWS) is ranked #2 with an average rating of 7.8, while Starburst is ranked #16 with an average rating of 8.5. Amazon Web Services (AWS) holds a 6.7% mindshare in SA, compared to Starburst’s 3.7% mindshare. Additionally, 90% of Amazon Web Services (AWS) users are willing to recommend the solution, compared to 100% of Starburst users who would recommend it.

Amazon Kinesis

Read 29 Amazon Kinesis reviews

2,858 Views
2,858 Comparison Views

90% willing to recommend

Starburst Enterprise

Read 2 Starburst Enterprise reviews

1,322 Views
793 Comparison Views

100% willing to recommend

Amazon Kinesis

Starburst Enterprise

Comparison Buyer's Guide

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Executive SummaryUpdated on Dec 17, 2024

Amazon Kinesis and Starburst Enterprise are products competing in the large-scale data processing and analytics category. Amazon Kinesis leads in scalability and seamless cloud integration, while Starburst Enterprise excels in flexibility and advanced querying capabilities.

Features: Amazon Kinesis enables efficient real-time data streaming, integrates extensively with AWS ecosystems, and offers a scalable architecture. Starburst Enterprise supports fast SQL analytics on disparate data sources, provides compatibility with multiple data storage systems, and allows versatile querying across various data platforms.

Ease of Deployment and Customer Service: Amazon Kinesis provides straightforward deployment within the AWS environment and benefits from AWS’s comprehensive support resources. Starburst Enterprise offers easy deployment with hybrid and multi-cloud capabilities, providing flexibility to enterprises. Both solutions deliver strong customer support, with Kinesis benefiting from AWS’s established network.

Pricing and ROI: Amazon Kinesis generally provides competitive pricing with clear scalability, allowing businesses to start small and scale as needed, delivering good ROI. Starburst Enterprise might have higher initial costs due to its advanced capabilities but offers significant ROI for businesses requiring powerful, high-speed analytics across diverse data environments.

To learn more, read our detailed Amazon Kinesis vs. Starburst Enterprise Report (Updated: September 2025).

Buyer's Guide

Amazon Kinesis vs. Starburst Enterprise

September 2025

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Helped 869,202 peers since 2012

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

Amazon Kinesis

Ranking in Streaming Analytics

2nd

Average Rating

8.0

Reviews Sentiment

7.1

Number of Reviews

Ranking in other categories

No ranking in other categories

Starburst Enterprise

Ranking in Streaming Analytics

16th

Average Rating

8.6

Reviews Sentiment

6.9

Number of Reviews

Ranking in other categories

Data Science Platforms (13th)

Mindshare comparison

As of October 2025, in the Streaming Analytics category, the mindshare of Amazon Kinesis is 6.7%, down from 10.5% compared to the previous year. The mindshare of Starburst Enterprise is 3.7%, up from 2.1% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Streaming Analytics Market Share Distribution
Product	Market Share (%)
Amazon Kinesis	6.7%
Starburst Enterprise	3.7%
Other	89.6%

Streaming Analytics

Featured Reviews

Rajni Kumar Jha

Senior Software Engineer at JPMorgan Chase & Co.

Used for media streaming and live-streaming data

It is not compulsory to use Amazon Kinesis. If you don't want to use the data streaming, you can use just the Kinesis data firehose. Using the Kinesis data firehose is compulsory because we can't store all chats and recordings in Amazon S3 without it. When a call comes in the Amazon Kinesis instance, it will go to Data Streams if we use it. Otherwise, it will go to the Kinesis data firehose, where we need to define the S3 bucket path, and it will go to Amazon S3. So, without the Kinesis data firehose, we can't store all the chats and recordings in Amazon S3. Using Amazon Kinesis totally depends upon the user's requirements. If you want to use live streaming for the data lake or data analyst team, you need to use Amazon Kinesis. If you don't want to use it, you can directly use the Kinesis data firehose, which will be stored in Amazon S3. Overall, I rate the solution 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 integration between Amazon Kinesis and Lambda helps us significantly."

"Great auto-scaling, auto-sharing, and auto-correction features."

"I like the ease of use and how we can quickly get the configurations done, making it pretty straightforward and stable."

"The solution works well in rather sizable environments."

"What turns out to be most valuable is its integration with Lambda functions because you can process the data as it comes in. As soon as data comes, you'll fire a Lambda function to process a trench of data."

"The most valuable feature is that it has a pretty robust way of capturing things."

"The product's initial setup phase is not difficult because we are using the tool on the cloud."

"Everything is hosted and simple."

More Amazon Kinesis pros

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

"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."

Cons

"Kinesis is good for Amazon Cloud but not as suitable for other cloud vendors."

"Could include features that make it easier to scale."

"For me, especially with video streams, there's sometimes a kind of delay when the data has to be pumped to other services. This delay could be improved in Kinesis, or especially the Kinesis Video Streams, which is being used for different use cases for Amazon Connect. With that improvement, a lot of other use cases of Amazon Connect integrating with third-party analytic tools would be easier."

"Lacks first in, first out queuing."

"Amazon Kinesis could improve its pricing to be more competitive, especially for large volumes."

"Amazon Kinesis involved a more complex setup and configuration than Azure Event Hub."

"There could be valid data in Kinesis that is not being processed, which affects stability. Although it rarely happens, this issue has been observed in many deployments, making it not completely stable."

"Kinesis Data Analytics needs to be improved somewhat. It's SQL based data but it is not as user friendly as MySQL or Athena tools."

More Amazon Kinesis cons

"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

"The solution's pricing is fair."

"The pricing depends on the use cases and the level of usage. If you wanted to use Kinesis for different use cases, there's definitely a cheaper base cost involved. However, it's not entirely cheap, as different use cases might require different levels of Kinesis usage."

"I rate the product price a five on a scale of one to ten, where one is cheap, and ten is expensive."

"The tool's entry price is cheap. However, pricing increases with data volume."

"I think for us, with Amazon Kinesis, if we have to set up our own Kafka or cluster, it will be very time-consuming. If one considers the aforementioned aspect, Amazon Kinesis is a cheap tool."

"Amazon Kinesis pricing is sometimes reasonable and sometimes could be better, depending on the planning, so it's a five out of ten for me."

"Under $1,000 per month."

"The tool's pricing is cheap."

More Amazon Kinesis pricing and cost advice

"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

Computer Software Company

18%

Financial Services Firm

16%

Manufacturing Company

10%

Comms Service Provider

Financial Services Firm

41%

Computer Software Company

Government

Retailer

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	8
Midsize Enterprise	10
Large Enterprise	9

No data available

Questions from the Community

What do you like most about Amazon Kinesis?

Amazon Kinesis's main purpose is to provide near real-time data streaming at a consistent 2Mbps rate, which is really impressive.

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What is your experience regarding pricing and costs for Amazon Kinesis?

Amazon Kinesis and Lambda pricing is competitive, but we noticed that scaling and large volumes could potentially increase costs significantly.

See all answers

What needs improvement with Amazon Kinesis?

Amazon Kinesis could improve its pricing to be more competitive, especially for large volumes. Also, the KCL library's documentation could be improved to better explain the configuration parameters...

See all answers

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...

See all answers

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...

See all answers

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Compared 9% of the time

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Compared 8% of the time

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Compared 44% of the time

Starburst Galaxy vs Starburst Enterprise

Compared 14% of the time

Dremio vs Starburst Enterprise

Compared 13% of the time

Apache Spark Streaming vs Starburst Enterprise

Compared 7% of the time

Alteryx vs Starburst Enterprise

Compared 5% of the time

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Product Reports

Buyer's Guide

Amazon Kinesis

October 2025

Download Amazon Kinesis product report

Buyer's Guide

Data Science Platforms

September 2025

Download Starburst Enterprise product report

Also Known As

Amazon AWS Kinesis, AWS Kinesis, Kinesis

No data available

Overview

Amazon Kinesis makes it easy to collect, process, and analyze real-time, streaming data so you can get timely insights and react quickly to new information. Amazon Kinesis offers key capabilities to cost-effectively process streaming data at any scale, along with the flexibility to choose the tools that best suit the requirements of your application. With Amazon Kinesis, you can ingest real-time data such as video, audio, application logs, website clickstreams, and IoT telemetry data for machine learning, analytics, and other applications. Amazon Kinesis enables you to process and analyze data as it arrives and respond instantly instead of having to wait until all your data is collected before the processing can begin.

Amazon Web Services (AWS)

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

Sample Customers

Zillow, Netflix, Sonos

Information Not Available

Buyer's Guide

Amazon Kinesis vs. Starburst Enterprise

September 2025

Free Report: Amazon Kinesis vs. Starburst Enterprise

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