Top 10 Cloudera DataFlow Alternatives

3.6 out of 5

4 reviews
75% willing to recommend

Top Cloudera DataFlow Competitors

Discover the top alternatives and competitors to Cloudera DataFlow based on the interviews we conducted with its users. The top alternative solutions include Databricks, Confluent, and Amazon Kinesis. The alternatives are sorted based on how often peers compare the solutions.

Cloudera Alternatives Report

Learn what solutions real users are comparing with Cloudera, 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 excels in machine learning and flexible pricing, appealing to data science needs. In comparison, Cloudera DataFlow stands out for real-time streaming and comprehensive data management capabilities, attracting those focused on continuous data integration with its robust features and hybrid environment adaptability.

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Pricing

Databricks setup costs are user-friendly, while Cloudera DataFlow requires a higher initial investment.

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Pricing

Databricks setup costs are user-friendly, while Cloudera DataFlow requires a higher initial investment.

Confluent

4.1 out of 5

Confluent

4.1 out of 5

Confluent offers robust real-time streaming with attractive pricing and ease of deployment, making it ideal for cost-efficient, scalable solutions. In comparison, Cloudera DataFlow excels in comprehensive data management and security, appealing to enterprises seeking extensive integration within a holistic data ecosystem.

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Pricing

Confluent offers a competitive setup cost, while Cloudera DataFlow tends to have a higher initial expense, making Confluent a potentially more budget-friendly option.

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Pricing

Confluent offers a competitive setup cost, while Cloudera DataFlow tends to have a higher initial expense, making Confluent a potentially more budget-friendly option.

Amazon Kinesis

4.0 out of 5

Amazon Kinesis

4.0 out of 5

Cloudera DataFlow offers scalability and comprehensive management tools, appealing to those needing extensive capabilities and strong customer support. In comparison, Amazon Kinesis stands out for seamless AWS integration, competitive pricing, and a feature-rich environment, suitable for businesses prioritizing ease of deployment and swift cost-effective scaling.

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Pricing

Cloudera DataFlow's setup cost is generally high compared to Amazon Kinesis, which offers a more budget-friendly setup option. This price disparity highlights the contrasting target markets and potential budget considerations for each service.

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Pricing

Amazon MSK

3.7 out of 5

Amazon MSK

3.7 out of 5

Cloudera DataFlow offers attractive pricing and strong support, appealing to cost-conscious buyers needing comprehensive data management. In comparison, Amazon MSK provides deep AWS integration and enhanced security, making it desirable for businesses already embedded in AWS, despite higher costs.

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Pricing

Cloudera DataFlow has a high initial setup cost, while Amazon MSK offers a more affordable setup. This significant difference in cost makes Amazon MSK advantageous for budget-conscious users compared to Cloudera DataFlow.

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Pricing

Google Cloud Dataflow

3.9 out of 5

Google Cloud Dataflow

3.9 out of 5

Google Cloud Dataflow integrates seamlessly with Google Cloud products and is ideal for real-time analytics. In comparison, Cloudera DataFlow offers comprehensive data management with customization benefits, making it attractive for enterprises needing advanced governance and robust data management features for complex operations.

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Pricing

Google Cloud Dataflow users appreciate the competitive setup cost, which contrasts with Cloudera DataFlow's feedback highlighting higher initial expenses. This distinct cost difference can influence users with budget constraints.

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Pricing

Spring Cloud Data Flow

3.9 out of 5

Spring Cloud Data Flow

3.9 out of 5

Spring Cloud Data Flow is attractive for those prioritizing low costs and ease of deployment. In comparison, Cloudera DataFlow appeals to organizations needing advanced features and deeper integrations, justifying its higher setup costs through its comprehensive tools and long-term value.

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Pricing

Spring Cloud Data Flow's setup cost is flexible and typically lower, while Cloudera DataFlow demands a higher initial investment, reflecting its comprehensive enterprise features.

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Pricing

Spring Cloud Data Flow's setup cost is flexible and typically lower, while Cloudera DataFlow demands a higher initial investment, reflecting its comprehensive enterprise features.

Apache Spark Streaming

4.0 out of 5

Apache Spark Streaming

4.0 out of 5

Cloudera DataFlow excels in deployment speed and customer support, ideal for organizations valuing quick setup. In comparison, Apache Spark Streaming is preferred for its advanced analytics and scalability, appealing to those seeking a solution with powerful features and long-term flexibility.

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Pricing

Cloudera DataFlow involves a notable setup cost, while Apache Spark Streaming offers a relatively streamlined setup experience. This key difference highlights contrasting initial financial commitments for businesses when choosing their streaming data processing solutions.

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Pricing

Starburst Enterprise

4.3 out of 5

Starburst Enterprise

4.3 out of 5

Cloudera DataFlow excels in offering competitive pricing and extensive support, making it ideal for diverse data pipelines. In comparison, Starburst Enterprise impresses with advanced query features and data lake compatibility, appealing to tech buyers prioritizing robust analytics and multi-cloud support.

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Pricing

Cloudera DataFlow's setup costs are minimal compared to Starburst Enterprise's higher initial expenses, which reflects their varying target markets and feature sets. The key difference lies in the upfront investment required for implementation.

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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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Talend Data Streams

1 out of 5

Talend Data Streams

1 out of 5

Talend Data Streams makes streaming data ingestion and integration easier, faster, and more accessible. Plus, Talend Data Streams is built to run completely in the cloud, so no installation is required.

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Related categories

Streaming Analytics

Data Science Platforms

Data Integration