Best Block Storage Solutions for Apache Spark

Compare the Top Block Storage Solutions that integrate with Apache Spark as of July 2025

This a list of Block Storage solutions that integrate with Apache Spark. Use the filters on the left to add additional filters for products that have integrations with Apache Spark. View the products that work with Apache Spark in the table below.

What are Block Storage Solutions for Apache Spark?

Block storage solutions and software are designed to help organizations store "blocks," which are volumes of structured object data. Block storage systems streamline the process of handling block storage. Compare and read user reviews of the best Block Storage solutions for Apache Spark currently available using the table below. This list is updated regularly.

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    NVMesh

    NVMesh

    Excelero

    Excelero delivers low-latency distributed block storage for web-scale applications. NVMesh enables shared NVMe across any network and supports any local or distributed file system. The solution features an intelligent management layer that abstracts underlying hardware with CPU offload, creates logical volumes with redundancy, and provides centralized, intelligent management and monitoring. Applications can enjoy the latency, throughput and IOPs of a local NVMe device with the convenience of centralized storage while avoiding proprietary hardware lock-in and reducing the overall storage TCO. NVMesh features a distributed block layer that allows unmodified applications to utilize pooled NVMe storage devices across a network at local speeds and latencies. Distributed NVMe storage resources are pooled with the ability to create arbitrary, dynamic block volumes that can be utilized by any host running the NVMesh block client.
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