.NET for Apache Spark
.NET for Apache Spark™ provides C# and F# language bindings for the Apache Spark distributed data analytics engine. Supported on Linux, macOS, and Windows.
Best .NET for Apache Spark Alternatives & Competitors in 2025
The best .NET for Apache Spark alternatives based on verified products, community votes, reviews and other factors.
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Apache Flume is a distributed, reliable, and available service for efficiently collecting, aggregating, and moving large amounts of log data.
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Vertica is a grid-based, column-oriented database designed to manage large, fast-growing volumes of...
Key Vertica features:
High Performance Scalability Advanced Analytics Integration
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All-in-one work management platform for team collaboration. .
Key Flowlu features:
Project Management Task Management Time Tracking Invoice Management
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Flink is a streaming dataflow engine that provides data distribution, communication, and fault tolerance for distributed computations.
Key Apache Flink features:
Real-time Stream Processing Event Time Processing State Management Fault Tolerance
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Printopia is a wireless printing application that allows users to print anything directly from their iPhone or iPad.
Key Printopia features:
Easy Setup Wide Compatibility Secure Printing No Cloud Requirement
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Fast column-oriented distributed data store.
Key Apache Druid features:
Real-Time Data Ingestion High Performance Scalability Flexible Data Exploration
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Fully managed extract, transform, and load (ETL) service.
Key AWS Glue features:
Fully Managed Scalability Serverless Integrated Data Catalog
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Distributed SQL Query Engine for Big Data (by Facebook).
Key Presto DB features:
High-Performance Query Engine Distributed SQL Query Engine Versatility ANSI-SQL Compatibility
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Impala is a modern, open source, distributed SQL query engine for Apache Hadoop.
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Apache Hive data warehouse software facilitates querying and managing large datasets residing in distributed storage.
Key Apache Hive features:
Scalability SQL-like Interface Integration with Hadoop Ecosystem Schema on Read
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Apache Spark is an engine for big data processing, with built-in modules for streaming, SQL, machine learning and graph processing.
Key Apache Spark features:
Speed Ease of Use Advanced Analytics Scalability
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Application and Data, Languages & Frameworks, and MVC Tools.
Key Laravel Nova features:
Ease of Integration User Interface Resource Management Customizability
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Clustering and highly scalable data distribution platform for Java.
Key Hazelcast features:
Scalability In-Memory Data Grid High Availability Ease of Use