Software Alternatives, Accelerators & Startups

Adobe Analytics VS Apache Spark

Compare Adobe Analytics VS Apache Spark and see what are their differences

Adobe Analytics logo Adobe Analytics

Adobe Analytics is an industry-leading solution that empowers you to understand your customers as people and steer your business with customer intelligence.

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.
  • Adobe Analytics Landing page
    Landing page //
    2021-07-25
  • Apache Spark Landing page
    Landing page //
    2021-12-31

Adobe Analytics videos

What is Adobe Analytics?

More videos:

  • Tutorial - Adobe Analytics Tutorial for Beginners (2018)
  • Review - Adobe Analytics vs Google Analytics comparison (2018) - Part 1

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 Adobe Analytics and Apache Spark)
Web Analytics
100 100%
0% 0
Databases
0 0%
100% 100
Analytics
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 Adobe Analytics and Apache Spark

Adobe Analytics Reviews

Unleashing Alternatives: 15 Advanced Tools for Web Analytics Just Like Google Analytics(Brief and Crisp)
Adobe Analytics goes beyond superficial metrics like page visits and bounce rates to offer granular insights about your user behavior. Its key features include:
Source: medium.com
Unleashing Alternatives: 15 Advanced Tools for Web Analytics Just Like Google Analytics(Brief and Crisp)
Adobe Analytics goes beyond superficial metrics like page visits and bounce rates to offer granular insights about your user behavior. Its key features include:
Which tools help you to Measure the Success of your Website
Adobe Analytics: Adobe is mostly used by large organizations as it is way higher priced than its other competitors and no free usage is allowed.
Source: qpe.co.in
Find the Best Mixpanel Alternatives for Your Product Team
Adobe Analytics is a feature-heavy but expensive solution for product analytics. Unlike Mixpanel, it has no free version—its complex pricing matrix includes features like website analytics, marketing analytics, attribution, and predictive analytics. It has plenty of customization options that may appeal to large organizations, but companies with smaller teams will likely be...
Source: heap.io
7 Analytics Tools for Optimizing UX
Although nothing compares to Google Analytics in terms of number of users, Adobe Analytics is nonetheless a compelling choice amongst website and app analysis tools. It allows you to dig deep into the massive amounts of generated data, featuring things like customer segmentation, real-time analysis rules, marketing analytics, and a host of dashboards. Adobe Analytics is a...

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 Adobe Analytics. While we know about 57 links to Apache Spark, we've tracked only 2 mentions of Adobe Analytics. 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.

Adobe Analytics mentions (2)

  • Why you Should Track Your Blog Traffic with Google Analytics
    Google Analytics was launched in 2005 as a tool for reporting web traffic. It is one of many web analytics tools. Adobe Analytics and Hubspot Analytics are example competitors to Google Analytics. - Source: dev.to / over 2 years ago
  • 8 Google Analytics Alternatives (Enterprise and Open Source)
    What it is: Adobe Analytics provides a set of tools that lets you collect, measure, and explore data you can use to predict traffic and gain insights. It has an interactive analytics workspace that helps you easily drag and drop data tables, visualizations, and components. - Source: dev.to / over 2 years ago

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 / about 13 hours 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 / 3 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
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What are some alternatives?

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

Google Analytics - Improve your website to increase conversions, improve the user experience, and make more money using Google Analytics. Measure, understand and quantify engagement on your site with customized and in-depth reports.

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

Mixpanel - Mixpanel is the most advanced analytics platform in the world for mobile & web.

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

Heap - Analytics for web and iOS. Heap automatically captures every user action in your app and lets you measure it all. Clicks, taps, swipes, form submissions, page views, and more.

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