Software Alternatives, Accelerators & Startups

Supermetrics VS Apache Spark

Compare Supermetrics VS Apache Spark and see what are their differences

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.

Supermetrics logo Supermetrics

Supermetrics simplifies marketing analytics by connecting, consolidating, and centralizing data from 150+ platforms into your favorite tools. Trusted by 200K+ organizations, we empower marketers to focus on insights, not manual work.

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.
  • Supermetrics
    Image date //
    2024-11-21
  • Supermetrics
    Image date //
    2024-11-21
  • Supermetrics
    Image date //
    2024-11-21
  • Supermetrics
    Image date //
    2024-11-21
  • Supermetrics
    Image date //
    2024-11-21

Supermetrics started with a bold idea: to make mastering marketing data simple and accessible for businesses everywhere. Today, it’s a pioneering marketing intelligence platform trusted by over 200,000 organizations worldwide, including renowned brands like Nestlé, Warner Bros, and Dyson.

From day one, Supermetrics has been driven by a mission to empower marketers and data analysts with seamless access to their data, regardless of where they are on their journey. What began as a solution to connect marketing data has evolved into a powerful platform that extracts and consolidates data from over 150 marketing and sales tools—such as Google Analytics, Facebook Ads, and HubSpot—into preferred destinations with ease.

As the marketing landscape evolves, so does Supermetrics. Our dedication to innovation has earned us recognition as one of G2’s Top 50 Best EMEA Software Companies for 2024, highlighting our commitment to staying at the forefront of marketing analytics.

At the heart of Supermetrics lies a commitment to innovation, transparency, and customer success. We believe in the power of data to tell stories, solve problems, and create opportunities. These values are reflected in our culture, which fosters collaboration and encourages team members to think creatively and push boundaries.

Looking ahead, Supermetrics is poised to continue leading the way in marketing analytics. With exciting innovations on the horizon and a growing global presence, we remain dedicated to helping our clients not just succeed but excel in the ever-changing world of marketing.

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

Supermetrics

$ Details
paid Free Trial
Release Date
2013 January
Startup details
Country
Finland
City
Helsinki
Founder(s)
Mikael Thuneberg
Employees
250 - 499

Supermetrics features and specs

  • Comprehensive Integrations
    Supermetrics supports a wide range of data sources including Google Analytics, Facebook Ads, LinkedIn, Twitter, and many more, providing a centralized solution for marketing data integration.
  • Ease of Use
    The platform is designed to be user-friendly, enabling marketers with limited technical knowledge to easily pull data and create reports without needing complex coding skills.
  • Automation
    Supermetrics allows users to automate data transfers, reducing the time and effort needed to manually update reports and dashboards, thus enhancing productivity and efficiency.
  • Customization
    Users can create highly customized reports and dashboards tailored to specific needs, allowing for in-depth analysis and better data-driven decision making.
  • Data Reliability
    Supermetrics ensures data accuracy and reliability by maintaining frequent updates and verifications, which helps in maintaining data integrity during transfers.

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.

Supermetrics videos

Supermetrics Overview

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 Supermetrics and Apache Spark)
Marketing Analytics
100 100%
0% 0
Databases
0 0%
100% 100
Analytics
100 100%
0% 0
Big Data
0 0%
100% 100

Questions and Answers

As answered by people managing Supermetrics and Apache Spark.

What makes your product unique?

Supermetrics's answer

Supermetrics stands out for its ability to seamlessly connect, consolidate, and centralize data from over 150 marketing and sales platforms into preferred destinations, like spreadsheets, BI tools, and data warehouses. Its simplicity, reliability, and scalability make it accessible to organizations of all sizes, empowering marketers and analysts to save time and focus on insights.

Why should a person choose your product over its competitors?

Supermetrics's answer

Supermetrics began as a passion project in 2009 when our founder sought an easier way to pull marketing data into spreadsheets. What started as a simple solution has evolved into a globally trusted marketing intelligence platform, supporting over 200,000 organizations and earning recognition as one of the top software companies in EMEA.

How would you describe your primary audience?

Supermetrics's answer

Supermetrics leverages cloud-based technologies, robust APIs, and advanced data integration frameworks to provide a seamless data pipeline. Its architecture ensures high performance, security, and scalability for a wide range of use cases.

What's the story behind your product?

Supermetrics's answer

Supermetrics offers unmatched simplicity and reliability in extracting and consolidating data. It supports an extensive range of platforms, provides automated workflows, and delivers exceptional customer support. These features help users focus on decision-making rather than manual data wrangling.

Which are the primary technologies used for building your product?

Supermetrics's answer

Our primary audience includes marketers, analysts, and business leaders looking to streamline their reporting and gain actionable insights. From small agencies to large enterprises, we serve professionals who value data-driven decision-making.

Who are some of the biggest customers of your product?

Supermetrics's answer

Supermetrics is trusted by global brands like Nestlé, Warner Bros, Dyson, and L’Oréal, as well as thousands of agencies and growing businesses worldwide.

User comments

Share your experience with using Supermetrics and Apache Spark. 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 Supermetrics and Apache Spark

Supermetrics Reviews

Top 5 Best Integration Software for 2023
Supermetrics is aimed primarily at streamlining marketing data. Integrating data from over 100 platforms, it makes a business’s marketing info analysis-ready with reporting and analytics tools. It currently serves about 17,000 companies, from small firms and agencies to large corporations across a variety of industries. It promises better returns on advertising expenses...
Source: everhelper.me
Funnel.io Alternatives and Competitors in 2022
If you're in the market for a marketing analytics platform to help you aggregate all your data into one place, you'll likely want to review this list in detail, comparing Funnel.io vs Improvado vs Supermetrics vs Domo vs Datorama. There is a lot to consider from ease of use, to integration with the platforms you use as well as customization and access to customer support.
Source: improvado.io
Top 5 Supermetrics Alternatives – Competitors, Cost, Features & Pricing Model
Funnel.io and Supermetrics provide similar functionality. But unlike Supermetrics, Funnel has a much clearer pricing model. At the same time, they charge based on your ad spend, which is not always the case.
Source: windsor.ai
Funnel.io — Data integration platform with 500+ data sources
There is not too much information about their functionality here. To make it simple, Supermetrics extracts data from marketing sources into the above destinations. Other destinations will need to use the Supermetrics API.
Source: www.windsor.ai
Top 5 Supermetrics Alternatives You Should Know About
Funnel.io and Supermetrics provide similar functionality. But unlike Supermetrics, Funnel has a much clearer pricing model. At the same time, they charge based on your ad spend, which is not always the case.
Source: www.windsor.ai

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 should be more popular than Supermetrics. 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.

Supermetrics mentions (8)

  • Unique Business marketing stories Part-1
    Supermetrics is a marketing data SaaS, they scaled internationally to more than $50M from Helsinki, Finland. Source: almost 2 years ago
  • Ask HN: Who is hiring? (April 2023)
    Supermetrics | Senior Software Engineer | Full time | REMOTE (Portugal) | https://supermetrics.com/ Join our newly founded Internal Integrations Engineering team, develop scalable solutions to support our sales processes, and improve automation and internal tooling for Supermetrics' Sales, Finance, and Customer Support functions. We hope you have strong backend programming skills in PHP and Typescript/Javascript... - Source: Hacker News / about 2 years ago
  • Anyone here is familiar with Facebook API?
    Https://supermetrics.com is one of them but there are many more actually. Do a quick research about the alternative platforms and let me know if you need further help :). Source: over 2 years ago
  • Calendar Heroes: Connor MacDonald, CMO at The Ridge - Q&A on Time Management
    Supermetrics powers 90% of our reporting, with automated report building so we can monitor our ad performance. - Source: dev.to / almost 4 years ago
  • Converting dev environments to Apple Silicon
    The reality is that Apple will switch to ARM chips, and as devs, we need to be prepared. So this past weekend, faced with a shortage of Intel Macbook Pros for our new devs, we sat down to make it all work for our Supermetrics developers. - Source: dev.to / almost 4 years ago
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 / 24 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 / 25 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 Supermetrics and Apache Spark, you can also consider the following products

Funnel.io - Marketing analytics software for e-commerce companies and online marketers that automatically...

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

Databox - Databox is an easy-to-use analytics platform that helps growing businesses centralize their data, and use it to make better decisions and improve performance.

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

Polar Analytics - Your #1 Analytics for Ecommerce — Centralize Ecommerce data and create custom reports + metrics without coding. Try it free.

Apache Kafka - Apache Kafka is an open-source message broker project developed by the Apache Software Foundation written in Scala.