Top 10 AWS Lambda Alternatives

4.3 out of 5

88 reviews
94% willing to recommend

369 followers

Top AWS Lambda Competitors

Discover the top alternatives and competitors to AWS Lambda based on the interviews we conducted with its users. The top alternative solutions include Apache Spark, Apache NiFi, and Apache Storm. The alternatives are sorted based on how often peers compare the solutions.

Amazon Web Services (AWS) Alternatives Report

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Apache Spark

4.2 out of 5

Apache Spark

4.2 out of 5

Apache Spark offers powerful data processing with robust real-time analytics, appealing to users handling large datasets efficiently. In comparison, AWS Lambda provides a serverless environment with easy scalability and integration, ideal for cost-effective, event-driven applications requiring minimal infrastructure management.

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Pricing

Apache Spark typically has a higher initial setup cost compared to AWS Lambda, which often appeals to those seeking a more budget-friendly serverless option. AWS Lambda provides cost efficiency with minimal upfront expenses, in contrast to the generally higher setup cost of Apache Spark.

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Pricing

Apache NiFi

3.9 out of 5

Apache NiFi

3.9 out of 5

AWS Lambda offers serverless architecture with dynamic scalability and cost-efficiency through its pay-as-you-go model. In comparison, Apache NiFi provides visual data flow capabilities for efficient real-time processing, excelling in user-friendly orchestration and data-centric processes without extensive configurations.

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Pricing

AWS Lambda offers a pay-as-you-go model, making it cost-efficient for short-duration tasks, while Apache NiFi involves higher setup costs due to infrastructure needs.

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Pricing

AWS Lambda offers a pay-as-you-go model, making it cost-efficient for short-duration tasks, while Apache NiFi involves higher setup costs due to infrastructure needs.

Apache Storm

1 out of 5

Apache Storm

1 out of 5

Apache Storm is a free and open source distributed realtime computation system. Storm makes it easy to reliably process unbounded streams of data, doing for realtime processing what Hadoop did for batch processing. Storm is simple and can be used with any programming language.

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