Top 10 Starburst Enterprise Alternatives

4.3 out of 5

2 reviews
100% willing to recommend

Top Starburst Enterprise Competitors

Discover the top alternatives and competitors to Starburst Enterprise based on the interviews we conducted with its users. The top alternative solutions include Databricks, Amazon SageMaker, and Alteryx. The alternatives are sorted based on how often peers compare the solutions.

Starburst Alternatives Report

Learn what solutions real users are comparing with Starburst, and compare use cases, valuable features, and pricing.

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Databricks

4.1 out of 5

Databricks

4.1 out of 5

Databricks is preferred for seamless cloud integration and scalability in analytics environments. In comparison, Starburst Enterprise appeals to technical teams with its federated query capabilities and high performance on large datasets, offering significant returns in complex, diverse data source environments.

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Pricing

Databricks may have higher initial setup costs, while Starburst Enterprise could offer a more cost-effective setup. The differences in setup cost influence budget decisions significantly.

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Pricing

Databricks may have higher initial setup costs, while Starburst Enterprise could offer a more cost-effective setup. The differences in setup cost influence budget decisions significantly.

Amazon SageMaker

3.9 out of 5

Amazon SageMaker

3.9 out of 5

Amazon SageMaker excels in affordability and AWS integration, attracting users seeking streamlined machine learning workflows. In comparison, Starburst Enterprise offers advanced analytics with federated queries across diverse data sources, appealing to businesses requiring powerful analytical capabilities beyond pricing simplicity.

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Pricing

Amazon SageMaker has a straightforward setup cost, while Starburst Enterprise requires a more complex initial investment.

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Pricing

Amazon SageMaker has a straightforward setup cost, while Starburst Enterprise requires a more complex initial investment.

Alteryx

4.2 out of 5

Alteryx

4.2 out of 5

Alteryx offers streamlined data preparation, ideal for quick setups and self-service analytics. In comparison, Starburst Enterprise excels in large-scale data querying and scalability, making it suitable for complex, high-performance projects. Both cater to specific needs in data analytics and management.

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Pricing

Alteryx setup costs are generally higher, offering robust analytics capabilities, while Starburst Enterprise presents a lower setup cost, focusing on efficient data query performance.

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Pricing

Alteryx setup costs are generally higher, offering robust analytics capabilities, while Starburst Enterprise presents a lower setup cost, focusing on efficient data query performance.

Dataiku

4.1 out of 5

Dataiku

4.1 out of 5

Dataiku offers superior integration and team collaboration features for streamlined analytics workflows. In comparison, Starburst Enterprise excels in scalability and supports complex analytics with robust security. Tech buyers might choose Dataiku for ease of deployment or Starburst Enterprise for high performance in large-scale operations.

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Pricing

Dataiku reviews highlight its lower setup costs, whereas Starburst Enterprise incurs higher initial fees.

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Pricing

Dataiku reviews highlight its lower setup costs, whereas Starburst Enterprise incurs higher initial fees.

Confluent

4.1 out of 5

Confluent

4.1 out of 5

Confluent excels in data streaming with its Kafka-based platform, ideal for real-time processing. In comparison, Starburst Enterprise offers powerful analytics by querying data across sources. A tech buyer might choose Confluent for streaming or Starburst Enterprise for comprehensive analytics and scalability.

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Pricing

Confluent presents a higher initial setup cost compared to Starburst Enterprise, offering a comprehensive suite of tools, while Starburst Enterprise provides a more cost-effective setup, though it may require additional customization for specific data analytics needs.

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Pricing

Apache Flink

3.9 out of 5

Apache Flink

3.9 out of 5

Apache Flink excels in processing real-time data streams with high throughput, making it suitable for budget-conscious companies desiring efficient data streaming. In comparison, Starburst Enterprise's advanced integration and scalable features, along with robust support, attract organizations needing extensive data analytics despite higher costs.

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Pricing

Apache Flink offers a lower setup cost primarily on open-source scalability, while Starburst Enterprise incurs higher costs due to its extensive enterprise support and advanced integration features. Pricing reflects distinct approaches to enterprise product value.

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Pricing

Dremio

4.3 out of 5

Dremio

4.3 out of 5

Dremio offers a cost-effective solution with easy deployment and robust customer support, appealing to budget-conscious businesses needing accessible analytics tools. In comparison, Starburst Enterprise provides advanced querying capabilities and scalability for technical environments, attracting organizations prioritizing high-end performance and complex data handling.

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Pricing

Dremio has a lower setup cost, whereas Starburst Enterprise may involve higher initial expenditures.

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Pricing

Dremio has a lower setup cost, whereas Starburst Enterprise may involve higher initial expenditures.

Google Cloud Dataflow

4.0 out of 5

Google Cloud Dataflow

4.0 out of 5

Google Cloud Dataflow is favored for its dynamic scalability and real-time processing, offering ease of integration with Google services. In comparison, Starburst Enterprise excels in data federation across sources with strong support for complex data architectures, appealing to enterprises seeking flexibility.

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Pricing

Google Cloud Dataflow offers a cost-effective setup with flexible pricing models, while Starburst Enterprise requires a higher initial setup cost, reflecting its focus on advanced features and enterprise-grade capabilities, highlighting significant differences in initial investment requ...

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Pricing

Apache Spark Streaming

4.0 out of 5

Apache Spark Streaming

4.0 out of 5

Apache Spark Streaming excels in real-time data processing and scalability, making it ideal for integrating with existing Hadoop environments. In comparison, Starburst Enterprise offers versatile SQL-based analytics and cross-source querying, appealing to businesses needing comprehensive data integration and flexible deployment options.

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Pricing

Apache Spark Streaming is known for its minimal setup costs, making it accessible for smaller-scale operations, while Starburst Enterprise often involves higher initial expenses due to its advanced features designed for complex, large-scale data environments.

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Pricing

Informatica Data Engineering Streaming

4.0 out of 5

Informatica Data Engineering Streaming

4.0 out of 5

Informatica Intelligent Streaming allows organizations to prepare and process streams of data and uncover insights while acting in time to suit business needs. It can scale out horizontally and vertically to handle petabytes of data while honoring business service level agreements (SLAs). Intelligent Streaming provides pre-built high-performance connectors such as Kafka, HDFS, NoSQL databases, and enterprise messaging systems and data transformations to enable a code-free method of defining your data integration logic.

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