Looking for a Apache Spark alternative? We've compiled the best options based on user reviews, features, and pricing to help you find the right fit.
What is Apache Spark? Apache Spark is an open-source distributed general-purpose cluster-computing framework. It provides high-performance data processing and analytics engine for large-scale data processing across clustered computers.
Apache Hadoop is an open source framework for storing and processing big data in a distributed computing environment. It provides …
Apache Flink is an open-source stream processing framework that performs stateful computations over unbounded and bounded data streams. It offers …
Amazon Kinesis is a managed service that allows for real-time streaming data ingestion and processing. It can ingest data streams …
Apache Storm is an open source distributed realtime computation system. It processes unbounded streams of data, doing realtime analytics, machine …
Disco is an open-source MapReduce framework developed by Nokia for distributed computing of large data sets on clusters of commodity …
Apache Spark is an open-source distributed general-purpose cluster-computing framework designed for large-scale data processing and analytics. Some key points about Apache Spark:It provides a fast and general engine for large-scale data processing that runs workloads 100x faster than Hadoop MapReduce in memory, or 10x faster on disk.It supports Java, Scala, Python, R and SQL, allowing data workers to use their language of choice.It includes rich built-in libraries for SQL, machine learning, stream processing, and graph processing.It offers a unified platform …
Pricing: Free
| Software | Pricing | Score |
|---|---|---|
| Apache Spark | Free | — |
| Apache Hadoop | Free | — |
| Gearpump | Free | — |
| Heron | Free | — |
| Apache Flink | Free | — |
| Amazon Kinesis | N/A | — |
| Apache Storm | Free | — |
| Disco MapReduce | Open Source | — |
| Upsolver | N/A | — |
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