Google Cloud Dataflow vs Starburst Enterprise comparison

Google and Starburst are both solutions in the Streaming Analytics category. Google is ranked #8 with an average rating of 7.9, while Starburst is ranked #12 with an average rating of 8.5. Google holds a 8.4% mindshare in SA, compared to Starburst’s 2.6% mindshare. Additionally, 90% of Google users are willing to recommend the solution, compared to 100% of Starburst users who would recommend it.

Google Cloud Dataflow

Read 10 Google Cloud Dataflow reviews

3,811 Views
3,133 Comparison Views

90% willing to recommend

Starburst Enterprise

Read 2 Starburst Enterprise reviews

829 Views
730 Comparison Views

100% willing to recommend

Google Cloud Dataflow

Starburst Enterprise

Comparison Buyer's Guide

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Executive SummaryUpdated on Dec 17, 2024

Google Cloud Dataflow and Starburst Enterprise are competing in the data processing and analytics space. Starburst Enterprise has an edge due to its comprehensive feature depth and performance in distributed data queries.

Features: Google Cloud Dataflow integrates seamlessly with Google Cloud services like BigQuery. It offers scalability in stream and batch processing and automated resource management. Starburst Enterprise focuses on SQL-based distributed queries, offers broad data source connectivity, and executes federated queries. It is versatile in feature offerings.

Ease of Deployment and Customer Service: Starburst Enterprise offers flexible deployment across on-premises and cloud systems, supported by strong customer service. Google Cloud Dataflow simplifies initial setup due to its cloud-native design but requires complex configurations for advanced scenarios. Starburst provides better customer support and deployment flexibility.

Pricing and ROI: Google Cloud Dataflow is cost-effective for processing within Google's ecosystem, providing high returns when integrated services are used. Starburst Enterprise requires a higher initial investment but yields significant ROI by efficiently handling complex, multi-source data queries. While Google Cloud Dataflow is budget-friendly in specific environments, Starburst shows a strong ROI for high-demand data processing.

To learn more, read our detailed Google Cloud Dataflow vs. Starburst Enterprise Report (Updated: December 2024).

Buyer's Guide

Google Cloud Dataflow vs. Starburst Enterprise

December 2024

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Categories and Ranking

Google Cloud Dataflow

Ranking in Streaming Analytics

8th

Average Rating

7.8

Reviews Sentiment

7.3

Number of Reviews

Ranking in other categories

No ranking in other categories

Starburst Enterprise

Ranking in Streaming Analytics

12th

Average Rating

8.6

Reviews Sentiment

6.9

Number of Reviews

Ranking in other categories

Data Science Platforms (14th)

Mindshare comparison

As of December 2024, in the Streaming Analytics category, the mindshare of Google Cloud Dataflow is 8.4%, up from 6.8% compared to the previous year. The mindshare of Starburst Enterprise is 2.6%, up from 1.3% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Streaming Analytics

Featured Reviews

Tamer Talal

Satellite System Engineer at NARSS

A tool useful for data transmission and data storage that needs to improve its authentication area

The authentication part of the product is an area of concern where improvements are required. For some common users, the solution's authentication part is difficult to use. The scalability of the product is an area of concern where improvements are required. In the future, the product should be made available at a cheaper rate.

Read full review

KamleshPant

Technical 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.

Read full review

Quotes from Members

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

Pros

"The most valuable features of Google Cloud Dataflow are scalability and connectivity."

"The best feature of Google Cloud Dataflow is its practical connectedness."

"Google Cloud Dataflow is useful for streaming and data pipelines."

"The service is relatively cheap compared to other batch-processing engines."

"The solution allows us to program in any language we desire."

"The support team is good and it's easy to use."

"The product's installation process is easy...The tool's maintenance part is somewhat easy."

"I don't need a server running all the time while using the tool. It is also easy to setup. The product offers a pay-as-you-go service."

More Google Cloud Dataflow 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

"The solution's setup process could be more accessible."

"Google Cloud Dataflow should include a little cost optimization."

"The authentication part of the product is an area of concern where improvements are required."

"The deployment time could also be reduced."

"There are certain challenges regarding the Google Cloud Composer which can be improved."

"They should do a market survey and then make improvements."

"When I deploy the product in local errors, a lot of errors pop up which are not always caught. The solution's error logging is bad. It can take a lot of time to debug the errors. It needs to have better logs."

"The technical support has slight room for improvement."

More Google Cloud Dataflow cons

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

"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."

Pricing and Cost Advice

"The price of the solution depends on many factors, such as how they pay for tools in the company and its size."

"Google Cloud Dataflow is a cheap solution."

"The solution is cost-effective."

"Google Cloud is slightly cheaper than AWS."

"On a scale from one to ten, where one is cheap, and ten is expensive, I rate Google Cloud Dataflow's pricing a four out of ten."

"The tool is cheap."

"On a scale from one to ten, where one is cheap, and ten is expensive, I rate the solution's pricing a seven to eight out of ten."

"The solution is not very expensive."

"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

17%

Retailer

12%

Computer Software Company

11%

Manufacturing Company

11%

Financial Services Firm

45%

Computer Software Company

10%

Government

Energy/Utilities Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

Questions from the Community

What do you like most about Google Cloud Dataflow?

The product's installation process is easy...The tool's maintenance part is somewhat easy.

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What is your experience regarding pricing and costs for Google Cloud Dataflow?

The solution is not very expensive.

See all answers

What needs improvement with Google Cloud Dataflow?

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

Comparisons

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Compared 42% of the time

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Compared 11% of the time

Amazon MSK vs Google Cloud Dataflow

Compared 11% of the time

Apache Flink vs Google Cloud Dataflow

Compared 9% of the time

Spring Cloud Data Flow vs Google Cloud Dataflow

Compared 8% of the time

More Google Cloud Dataflow Competitors

Databricks vs Starburst Enterprise

Compared 26% of the time

Dremio vs Starburst Enterprise

Compared 23% of the time

Starburst Galaxy vs Starburst Enterprise

Compared 23% of the time

Alteryx vs Starburst Enterprise

Compared 15% of the time

Apache Spark Streaming vs Starburst Enterprise

Compared 5% of the time

More Starburst Enterprise Competitors

Product Reports

Buyer's Guide

Streaming Analytics

December 2024

Download Google Cloud Dataflow product report

Buyer's Guide

Data Science Platforms

December 2024

Download Starburst Enterprise product report

Also Known As

Google Dataflow

No data available

Learn More

Google

Starburst

Overview

Google Dataflow is a unified programming model and a managed service for developing and executing a wide range of data processing patterns including ETL, batch computation, and continuous computation. Cloud Dataflow frees you from operational tasks like resource management and performance optimization.

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.

Sample Customers

Absolutdata, Backflip Studios, Bluecore, Claritics, Crystalloids, Energyworx, GenieConnect, Leanplum, Nomanini, Redbus, Streak, TabTale

Information Not Available

Buyer's Guide

Google Cloud Dataflow vs. Starburst Enterprise

December 2024

Free Report: Google Cloud Dataflow vs. Starburst Enterprise

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