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Confluent vs Starburst Enterprise comparison

 

Comparison Buyer's Guide

Executive Summary
 

Categories and Ranking

Confluent
Ranking in Streaming Analytics
3rd
Average Rating
8.2
Number of Reviews
22
Ranking in other categories
No ranking in other categories
Starburst Enterprise
Ranking in Streaming Analytics
12th
Average Rating
8.6
Number of Reviews
2
Ranking in other categories
Data Science Platforms (14th)
 

Mindshare comparison

As of November 2024, in the Streaming Analytics category, the mindshare of Confluent is 9.4%, down from 12.3% compared to the previous year. The mindshare of Starburst Enterprise is 2.4%, up from 1.3% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Streaming Analytics
 

Featured Reviews

Gustavo-Barbosa Dos Santos - PeerSpot reviewer
Jan 8, 2024
Has good technical support services and a valuable feature for real-time data streaming
We use the product to store and govern the data Implementing Confluent's schema registry has significantly enhanced our organization's data quality assurance. It helps us understand the various requirements of multiple customers and validates the information for different versions. We can…
KamleshPant - PeerSpot reviewer
Aug 22, 2024
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.

Quotes from Members

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

Pros

"Their tech support is amazing; they are very good, both on and off-site."
"Kafka Connect framework is valuable for connecting to the various source systems where code doesn't need to be written."
"The most valuable is its capability to enhance the documentation process, particularly when creating software documentation."
"We mostly use the solution's message queues and event-driven architecture."
"The most valuable feature of Confluent is the wide range of features provided. They're leading the market in this category."
"The documentation process is fast with the tool."
"The design of the product is extremely well built and it is highly configurable."
"With Confluent Cloud we no longer need to handle the infrastructure and the plumbing, which is a concern for Confluent. The other advantage is that all portfolios have access to the data that is being shared."
"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

"It requires some application specific connectors which are lacking. This needs to be added."
"In Confluent, there could be a few more VPN options."
"They should remove Zookeeper because of security issues."
"Confluent's price needs improvement."
"It could be improved by including a feature that automatically creates a new topic and puts failed messages."
"there is room for improvement in the visualization."
"The pricing model should include the ability to pick features and be charged for them only."
"It could be more user-friendly and centralized. A way to reduce redundancy would be helpful."
"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

"Confluent is highly priced."
"Confluence's pricing is quite reasonable, with a cost of around $10 per user that decreases as the number of users increases. Additionally, it's worth noting that for teams of up to 10 users, the solution is completely free."
"Confluent is an expensive solution."
"On a scale from one to ten, where one is low pricing and ten is high pricing, I would rate Confluent's pricing at five. I have not encountered any additional costs."
"Confluent has a yearly license, which is a bit high because it's on a per-user basis."
"The pricing model of Confluent could improve because if you have a classic use case where you're going to use all the features there is no plan to reduce the features. You should be able to pick and choose basic services at a reduced price. The pricing was high for our needs. We should not have to pay for features we do not use."
"Confluent is expensive, I would prefer, Apache Kafka over Confluent because of the high cost of maintenance."
"Confluent is an expensive solution as we went for a three contract and it was very costly for us."
"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
Financial Services Firm
19%
Computer Software Company
18%
Manufacturing Company
9%
Retailer
5%
Financial Services Firm
44%
Computer Software Company
10%
Healthcare Company
5%
Energy/Utilities Company
4%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
 

Questions from the Community

What do you like most about Confluent?
I find Confluent's Kafka Connectors and Kafka Streams invaluable for my use cases because they simplify real-time data processing and ETL tasks by providing reliable, pre-packaged connectors and to...
What is your experience regarding pricing and costs for Confluent?
Regarding pricing, I think Confluent is a premium product, but it's hard for me to say definitively if it's overly expensive. We're still trying to understand if the features and reduced maintenanc...
What needs improvement with Confluent?
One area we've identified that could be improved is the governance and access control to the Kafka topics. We've found some limitations, like a threshold of 10,000 rules per cluster, that make it c...
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...
What needs improvement with Starburst Enterprise?
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 ...
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...
 

Overview

 

Sample Customers

ING, Priceline.com, Nordea, Target, RBC, Tivo, Capital One, Chartboost
Information Not Available
Find out what your peers are saying about Confluent vs. Starburst Enterprise and other solutions. Updated: October 2024.
814,649 professionals have used our research since 2012.