Software Alternatives, Accelerators & Startups
Register | Login

Mixpanel VS Apache Spark

Compare Mixpanel VS Apache Spark and see what are their differences

LiveSession
LiveSession helps you analyze users’ behavior, improve UX, find JS bugs, and increase conversion rates using session replays, and event-based product analytics. featured
Note: These products don't have any matching categories. If you think this is a mistake, please edit the details of one of the products and suggest appropriate categories.
Contents:
  1. » Base Details
  2. » Videos
  3. » Reviews
  4. » Alternatives

Mixpanel logo Mixpanel

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

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.
  • Mixpanel Landing page
    Landing page //
    2024-08-10

  mixpanel.comSoftware by Mixpanel

  • Apache Spark Landing page
    Landing page //
    2021-12-31

Mixpanel

Website
mixpanel.com
Pricing URL
Official Mixpanel Pricing
$ Details
-
Release Date
2009 January
Startup details
Country
United States
State
California
City
San Francisco
Founder(s)
Suhail Doshi
Employees
250 - 499
Edit details

Apache Spark

Website
spark.apache.org
Pricing URL
-
$ Details
Release Date
-
Edit details

Mixpanel features and specs

  • User-Focused Analytics
    Mixpanel offers detailed insights into user behavior, enabling businesses to understand how users interact with their product, which helps in making data-driven decisions.
  • Event Tracking
    The platform allows for precise event tracking, providing real-time analysis of user actions and conversions, which is helpful for optimizing user experience and marketing strategies.
  • Advanced Segmentation
    Mixpanel's advanced segmentation capabilities help in understanding various user groups, enabling personalized marketing campaigns and enhanced user engagement.
  • A/B Testing
    The built-in A/B testing feature allows for experimenting with different variations of features and interfaces to determine what works best for users.
  • Custom Dashboards
    Users can create customizable dashboards to monitor key metrics and KPIs, making it easier to keep track of important data and trends.

Possible disadvantages of Mixpanel

  • Cost
    Mixpanel can be expensive compared to other analytics tools, particularly for startups or small businesses with limited budgets.
  • Complexity
    The platform can be complex and overwhelming for new users without a background in analytics, requiring a steep learning curve to effectively utilize all features.
  • Limited Free Plan
    The free plan offered by Mixpanel has significant limitations, including caps on the number of events tracked, which can be restrictive for growing businesses.
  • Data Retention
    Data retention policies might limit the amount of historical data accessible in lower-tier plans, potentially hindering long-term analysis.
  • Integration Issues
    While Mixpanel integrates with various other tools, some users report challenges and limitations with certain integrations, which can affect the overall workflow.

Apache Spark features and specs

  • Speed
    Apache Spark processes data in-memory, significantly increasing the processing speed of data tasks compared to traditional disk-based engines.
  • Ease of Use
    Spark offers high-level APIs in Java, Scala, Python, and R, making it accessible to a broad range of developers and data scientists.
  • Advanced Analytics
    Spark supports advanced analytics, including machine learning, graph processing, and real-time streaming, which can be executed in the same application.
  • Scalability
    Spark can handle both small- and large-scale data processing tasks, scaling seamlessly from a single machine to thousands of servers.
  • Support for Various Data Sources
    Spark can integrate with a wide variety of data sources, including HDFS, Apache HBase, Apache Hive, Cassandra, and many others.
  • Active Community
    Spark has a vibrant and active community, providing a wealth of extensions, tools, and support options.

Possible disadvantages of Apache Spark

  • Memory Consumption
    Spark's in-memory processing can be resource-intensive, requiring substantial amounts of RAM, which can drive up costs for large-scale deployments.
  • Complexity in Configuration
    To optimize performance, Spark requires careful configuration and tuning, which can be complex and time-consuming.
  • Learning Curve
    Despite its ease of use, mastering the full range of Spark's features and best practices can take considerable time and effort.
  • Latency for Small Data
    For smaller datasets or low-latency requirements, Spark might not be the most efficient choice, as other technologies could offer better performance.
  • Integration Overhead
    Though Spark integrates with many systems, incorporating it into an existing data infrastructure can introduce additional overhead and complexity.
  • Community Support Variability
    While the community is active, the support and quality of third-party libraries and tools can be inconsistent, leading to potential challenges in implementation.

Mixpanel videos

+ Add

Mixpanel vs. Google Analytics - What are the differences?

More videos:

  • Review - Mixpanel Overview Video
  • Review - Amplitude vs Mixpanel? Pros and Cons of Each

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

Category Popularity

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

Mixpanel

Apache Spark

Analytics
100 100%
Analytics
0% 0
Databases
0 0%
Databases
100% 100
Web Analytics
100 100%
Web Analytics
0% 0
Big Data
0 0%
Big Data
100% 100

User comments

Share your experience with using Mixpanel and Apache Spark. For example, how are they different and which one is better?
Log in or Post with

Reviews

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

Mixpanel Reviews

  1. Deepak Kumar
    · Technical Reviewer at A/B Testing ·
    Mixpanel helps track user behavior and measure success for your application

    I recommend Mixpanel to anyone who needs to do tracking of user behavior in web applications in order to measure against goals.

    🏁 Competitors: VWO, Optimizely, Convertize.io, Picreel
    👍 Pros:    Easy to use|Powerful analytics|Tracks every user actions
    👎 Cons:    Dashboard is complex|Pricing is too high|Hard to implement own data
10 Best Mixpanel Alternatives for Product Analytics in 2024
Hotjar is an all-in-one feedback and analytics software suite to optimize your website and make data-driven decisions. Hotjar Observe is the suite’s most popular Mixpanel alternative—pair it with Hotjar Ask, Hotjar Engage, and Hotjar Funnels for all the tools you need to succeed. 😎
Source: clickup.com
7 best Mixpanel alternatives to understand your users
On the other hand, Mixpanel requires you to manually define the events you want to track from the start. While this might take some extra time, it provides more detailed reports right off the bat, which makes the analysis straightforward. The choice between Heap and Mixpanel depends on whether you prioritize comprehensive data capturing (Heap) or a more detailed analysis...
Source: www.hotjar.com
Best Mixpanel Alternatives for SaaS
These are some of the aspects that I appreciate about Mixpanel. It’s important to note that my preferences may vary depending on individual needs and requirements. I highlight some of the features and benefits that I appreciate about Mixpanel: Mixpanel focuses on individual user behavior and allows me to track and analyze user interactions at a granular level. This...
Source: userpilot.com
Unleashing Alternatives: 15 Advanced Tools for Web Analytics Just Like Google Analytics(Brief and Crisp)
Mixpanel, another great tool provides businesses an immediate overview of user interactions with their products. This helps them to adapt quickly, offering more personalized experiences, or making needed adjustments right on the spot. With Mixpanel, you can expect the following benefits:
Source: medium.com
Unleashing Alternatives: 15 Advanced Tools for Web Analytics Just Like Google Analytics(Brief and Crisp)
Mixpanel, another great tool provides businesses an immediate overview of user interactions with their products. This helps them to adapt quickly, offering more personalized experiences, or making needed adjustments right on the spot. With Mixpanel, you can expect the following benefits:
Source: rishikap372.medium.com

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

Social recommendations and mentions

Based on our record, Apache Spark should be more popular than Mixpanel. It has been mentiond 70 times since March 2021. 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.

Mixpanel mentions (28)

View more

Apache Spark mentions (70)

  • Every Database Will Support Iceberg — Here's Why
    Apache Iceberg defines a table format that separates how data is stored from how data is queried. Any engine that implements the Iceberg integration — Spark, Flink, Trino, DuckDB, Snowflake, RisingWave — can read and/or write Iceberg data directly. - Source: dev.to / 25 days ago
  • How to Reduce Big Data Analytics Costs by 90% with Karpenter and Spark
    Apache Spark powers large-scale data analytics and machine learning, but as workloads grow exponentially, traditional static resource allocation leads to 30–50% resource waste due to idle Executors and suboptimal instance selection. - Source: dev.to / 27 days ago
  • Unveiling the Apache License 2.0: A Deep Dive into Open Source Freedom
    One of the key attributes of Apache License 2.0 is its flexible nature. Permitting use in both proprietary and open source environments, it has become the go-to choice for innovative projects ranging from the Apache HTTP Server to large-scale initiatives like Apache Spark and Hadoop. This flexibility is not solely legal; it is also philosophical. The license is designed to encourage transparency and maintain a... - Source: dev.to / 2 months ago
  • The Application of Java Programming In Data Analysis and Artificial Intelligence
    [1] S. Russell and P. Norvig, Artificial Intelligence: A Modern Approach. Pearson, 2020. [2] F. Chollet, Deep Learning with Python. Manning Publications, 2018. [3] C. C. Aggarwal, Data Mining: The Textbook. Springer, 2015. [4] J. Dean and S. Ghemawat, "MapReduce: Simplified Data Processing on Large Clusters," Communications of the ACM, vol. 51, no. 1, pp. 107-113, 2008. [5] Apache Software Foundation, "Apache... - Source: dev.to / 2 months ago
  • Automating Enhanced Due Diligence in Regulated Applications
    If you're designing an event-based pipeline, you can use a data streaming tool like Kafka to process data as it's collected by the pipeline. For a setup that already has data stored, you can use tools like Apache Spark to batch process and clean it before moving ahead with the pipeline. - Source: dev.to / 3 months ago
View more

What are some alternatives?

When comparing Mixpanel 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.

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.

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

Matomo - Matomo is an open-source web analytics platform

Apache Storm - Apache Storm is a free and open source distributed realtime computation system.

Loading...