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Apache Spark VS Domo

Compare Apache Spark VS Domo and see what are their differences

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Contents:
  1. » Base Details
  2. » Videos
  3. » Reviews
  4. » Alternatives

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.

Domo logo Domo

Domo: business intelligence, data visualization, dashboards and reporting all together. Simplify your big data and improve your business with Domo's agile and mobile-ready platform.
  • Apache Spark Landing page
    Landing page //
    2021-12-31
  • Domo Landing page
    Landing page //
    2023-10-08

Apache Spark videos

+ Add

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

Domo videos

+ Add

Domo Overview

More videos:

  • Review - Domo Customer Review: National Geographic
  • Review - Domo Customer Review: La-Z-Boy

Category Popularity

0-100% (relative to Apache Spark and Domo)

Apache Spark

Domo

Databases
100 100%
Databases
0% 0
Data Dashboard
12 12%
Data Dashboard
88% 88
Big Data
100 100%
Big Data
0% 0
Business Intelligence
0 0%
Business Intelligence
100% 100

User comments

Share your experience with using Apache Spark and Domo. For example, how are they different and which one is better?
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Reviews

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

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...
Source: searchbusinessanalytics.techtarget.com
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...
Source: www.spec-india.com
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...
Source: www.analyticsinsight.net

Domo Reviews

25 Best Statistical Analysis Software
Intuitive interface: Domo offers an easy-to-use interface that allows users to quickly navigate and interact with their data, making it suitable for users with varying levels of technical expertise.
Source: www.scijournal.org
Funnel.io Alternatives and Competitors in 2022
Domo is software that specializes in data visualization and business intelligence. Here you can find more information about Domo alternatives and competitors.
Source: improvado.io
The Top 14 Marketing Analytics Tools For Every Business
The Domo platform is best for C-level executives working at enterprise companies who are looking for a non-marketing specific BI tool to be used company-wide, one that can create executive level dashboards. Domo is not focused specifically on data from marketing efforts. It is used for more general business data. This means that when it comes to company-wide business...
Source: improvado.io
Domo vs Datorama vs Improvado vs Funnel.io vs Supermetrics
"Prior to investing in DOMO ensure that your data sources will allow an outside feed/API. We did find one of our EHRs would not allow this and it requires a manual process for us to feed the data to DOMO. This does not allow real-time data to be reflected in several of our reports."
Source: improvado.io

Social recommendations and mentions

Based on our record, Apache Spark seems to be a lot more popular than Domo. While we know about 57 links to Apache Spark, we've tracked only 1 mention of Domo. 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.

Apache Spark mentions (57)

  • 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 / 2 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
  • Five Apache projects you probably didn't know about
    Apache SeaTunnel is a data integration platform that offers the three pillars of data pipelines: sources, transforms, and sinks. It offers an abstract API over three possible engines: the Zeta engine from SeaTunnel or a wrapper around Apache Spark or Apache Flink. Be careful, as each engine comes with its own set of features. - Source: dev.to / 6 months ago
View more

Domo mentions (1)

  • URL with Login code
    We currently use domo.com and need to display dashboards to screens. Source: almost 2 years ago

What are some alternatives?

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

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

Looker - Looker makes it easy for analysts to create and curate custom data experiences—so everyone in the business can explore the data that matters to them, in the context that makes it truly meaningful.

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

Sisense - The BI & Dashboard Software to handle multiple, large data sets.

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

Tableau - Tableau can help anyone see and understand their data. Connect to almost any database, drag and drop to create visualizations, and share with a click.

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