Software Alternatives, Accelerators & Startups

Qumulo VS Apache Spark

Compare Qumulo VS Apache Spark and see what are their differences

Qumulo logo Qumulo

Qumulo hybrid cloud file storage delivers real-time visibility, scale and control of data across on-prem and cloud. Scale-across with simplicity.

Apache Spark logo Apache Spark

Apache Spark is an engine for big data processing, with built-in modules for streaming, SQL, machine learning and graph processing.
  • Qumulo Landing page
    Landing page //
    2023-08-19
  • Apache Spark Landing page
    Landing page //
    2021-12-31

Qumulo

Website
qumulo.com
$ Details
-
Release Date
2012 January
Startup details
Country
United States
State
Washington
City
Seattle
Founder(s)
Aaron Passey
Employees
250 - 499

Qumulo videos

Exploring Qumulo File System

More videos:

  • Review - Qumulo Overview - A Modern File System
  • Review - Podcast #55: Richard Kennedy, Qumulo

Apache Spark videos

Weekly Apache Spark live Code Review -- look at StringIndexer multi-col (Scala) & Python testing

More videos:

  • Review - What's New in Apache Spark 3.0.0
  • Review - Apache Spark for Data Engineering and Analysis - Overview

Category Popularity

0-100% (relative to Qumulo and Apache Spark)
Cloud Storage
100 100%
0% 0
Databases
0 0%
100% 100
Backup & Sync
100 100%
0% 0
Big Data
0 0%
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Qumulo and Apache Spark

Qumulo Reviews

The 12 Best Object Storage Solutions and Distributed File Systems in 2022
Qumulo is an enterprise data storage provider whose solutions are available on Qumulo storage servers, on hardware from companies such as Dell and HPE, and natively on AWS in the public cloud. Qumulo File System is a software-defined solution that runs on-prem and in the public cloud. The platform is designed for large-scale, high-throughput file workloads with capacity...

Apache Spark Reviews

15 data science tools to consider using in 2021
Apache Spark is an open source data processing and analytics engine that can handle large amounts of data -- upward of several petabytes, according to proponents. Spark's ability to rapidly process data has fueled significant growth in the use of the platform since it was created in 2009, helping to make the Spark project one of the largest open source communities among big...
Top 15 Kafka Alternatives Popular In 2021
Apache Spark is a well-known, general-purpose, open-source analytics engine for large-scale, core data processing. It is known for its high-performance quality for data processing – batch and streaming with the help of its DAG scheduler, query optimizer, and engine. Data streams are processed in real-time and hence it is quite fast and efficient. Its machine learning...
5 Best-Performing Tools that Build Real-Time Data Pipeline
Apache Spark is an open-source and flexible in-memory framework which serves as an alternative to map-reduce for handling batch, real-time analytics and data processing workloads. It provides native bindings for the Java, Scala, Python, and R programming languages, and supports SQL, streaming data, machine learning and graph processing. From its beginning in the AMPLab at...

Social recommendations and mentions

Based on our record, Apache Spark seems to be a lot more popular than Qumulo. While we know about 58 links to Apache Spark, we've tracked only 1 mention of Qumulo. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Qumulo mentions (1)

  • Help determining small business 30TB+ storage solution from DROBO NAS to__?
    I also hear good things about https://qumulo.com/, but I get the feeling that the team isn't large enough to need something like that. Source: about 2 years ago

Apache Spark mentions (58)

  • How I've implemented the Medallion architecture using Apache Spark and Apache Hdoop
    In this project, I'm exploring the Medallion Architecture which is a data design pattern that organizes data into different layers based on structure and/or quality. I'm creating a fictional scenario where a large enterprise that has several branches across the country. Each branch receives purchase orders from an app and deliver the goods to their customers. The enterprise wants to identify the branch that... - Source: dev.to / 4 days ago
  • Shades of Open Source - Understanding The Many Meanings of "Open"
    In contrast, Databricks maintains internal forks of Spark, Delta Lake, and Unity Catalog, using the same names for both the open-source versions and the features specific to the Databricks platform. While they do provide separate documentation, online discussions often reflect confusion about how to use features in the open-source versions that only exist on the Databricks platform. This creates a "muddying of the... - Source: dev.to / 6 days ago
  • Groovy 🎷 Cheat Sheet - 01 Say "Hello" from Groovy
    Recently I had to revisit the "JVM languages universe" again. Yes, language(s), plural! Java isn't the only language that uses the JVM. I previously used Scala, which is a JVM language, to use Apache Spark for Data Engineering workloads, but this is for another post 😉. - Source: dev.to / 4 months ago
  • 🦿🛴Smarcity garbage reporting automation w/ ollama
    Consume data into third party software (then let Open Search or Apache Spark or Apache Pinot) for analysis/datascience, GIS systems (so you can put reports on a map) or any ticket management system. - Source: dev.to / 5 months ago
  • Go concurrency simplified. Part 4: Post office as a data pipeline
    Also, this knowledge applies to learning more about data engineering, as this field of software engineering relies heavily on the event-driven approach via tools like Spark, Flink, Kafka, etc. - Source: dev.to / 6 months ago
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What are some alternatives?

When comparing Qumulo and Apache Spark, you can also consider the following products

ONTAP Cloud - NetApp's ONTAP solution now extends to the cloud. Move data seamlessly to AWS/Azure & back to the data center with the same enterprise storage features.

Apache Flink - Flink is a streaming dataflow engine that provides data distribution, communication, and fault tolerance for distributed computations.

Minio - Minio is an open-source minimal cloud storage server.

Apache Airflow - Airflow is a platform to programmaticaly author, schedule and monitor data pipelines.

CloudController - We deliver an innovative Cloud Management Platform to fully automate deployment and the business processes of private, public and hybrid/multi-clouds

Hadoop - Open-source software for reliable, scalable, distributed computing