Software Alternatives, Accelerators & Startups

Supermetrics VS Hadoop

Compare Supermetrics VS Hadoop and see what are their differences

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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.

Hadoop logo Hadoop

Open-source software for reliable, scalable, distributed computing
  • Supermetrics
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    2024-11-21
  • Supermetrics
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    2024-11-21
  • Supermetrics
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    2024-11-21
  • Supermetrics
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    2024-11-21
  • Supermetrics
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    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.

  • Hadoop Landing page
    Landing page //
    2021-09-17

Supermetrics

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

Hadoop

Pricing URL
-
$ Details
Release Date
-

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.

Possible disadvantages of Supermetrics

  • Pricing
    The pricing structure of Supermetrics may be considered high, especially for small businesses or startups, which can be a deterrent for potential users with limited budgets.
  • Limited Data Transformation Capabilities
    While Supermetrics excels in data extraction and transfer, it has limited capabilities when it comes to advanced data transformation and manipulation compared to more comprehensive ETL tools.
  • Learning Curve
    Despite its user-friendly interface, some users may still face a learning curve, particularly when dealing with complex queries or integrating multiple data sources.
  • Support Limitations
    Support options may be somewhat limited and response times can vary, potentially leading to delays in resolving critical issues or questions.
  • Dependence on Third-Party Services
    Since Supermetrics relies on APIs from various platforms, any changes or disruptions in those third-party services can directly impact the functionality and reliability of Supermetrics.

Hadoop features and specs

  • Scalability
    Hadoop can easily scale from a single server to thousands of machines, each offering local computation and storage.
  • Cost-Effective
    It utilizes a distributed infrastructure, allowing you to use low-cost commodity hardware to store and process large datasets.
  • Fault Tolerance
    Hadoop automatically maintains multiple copies of all data and can automatically recover data on failure of nodes, ensuring high availability.
  • Flexibility
    It can process a wide variety of structured and unstructured data, including logs, images, audio, video, and more.
  • Parallel Processing
    Hadoop's MapReduce framework enables the parallel processing of large datasets across a distributed cluster.
  • Community Support
    As an Apache project, Hadoop has robust community support and a vast ecosystem of related tools and extensions.

Possible disadvantages of Hadoop

  • Complexity
    Setting up, maintaining, and tuning a Hadoop cluster can be complex and often requires specialized knowledge.
  • Overhead
    The MapReduce model can introduce additional overhead, particularly for tasks that require low-latency processing.
  • Security
    While improvements have been made, Hadoop's security model is considered less mature compared to some other data processing systems.
  • Hardware Requirements
    Though it can run on commodity hardware, Hadoop can still require significant computational and storage resources for larger datasets.
  • Lack of Real-Time Processing
    Hadoop is mainly designed for batch processing and is not well-suited for real-time data analytics, which can be a limitation for certain applications.
  • Data Integrity
    Distributed systems face challenges in maintaining data integrity and consistency, and Hadoop is no exception.

Analysis of Supermetrics

Overall verdict

  • Supermetrics is generally regarded as a good solution for businesses and individuals looking to optimize their marketing efforts through easy access to data. While it may not be the perfect tool for every situation, its ease of use and extensive integrations make it a popular choice among data-driven teams.

Why this product is good

  • Supermetrics is considered a valuable tool for marketers and analysts because it simplifies the process of data collection and analysis. It integrates with numerous data sources, including social media platforms, analytics tools, and advertising networks, allowing users to consolidate their data in one place. This streamlines reporting, saves time, and helps in generating insights quickly, ultimately aiding in more efficient data-driven decision-making.

Recommended for

  • Digital marketers looking to streamline their reporting process.
  • Marketing analysts who need to consolidate data from multiple sources quickly.
  • Businesses aiming to make data-driven decisions to enhance marketing strategy.
  • Agencies managing multiple clients and requiring efficient data management solutions.

Analysis of Hadoop

Overall verdict

  • Hadoop is a robust and powerful data processing platform that is well-suited for organizations that need to manage and analyze large-scale data. Its resilience, scalability, and open-source nature make it a popular choice for big data solutions. However, it may not be the best fit for all use cases, especially those requiring real-time processing or where ease of use is a priority.

Why this product is good

  • Hadoop is renowned for its ability to store and process large datasets using a distributed computing model. It is scalable, cost-effective, and efficient in handling massive volumes of data across clusters of computers. Its ecosystem includes a wide range of tools and technologies like HDFS, MapReduce, YARN, and Hive that enhance data processing and analysis capabilities.

Recommended for

  • Organizations dealing with vast amounts of data needing efficient batch processing.
  • Businesses that require scalable storage solutions to manage their data growth.
  • Companies interested in leveraging a diverse ecosystem of data processing tools and technologies.
  • Technical teams that have the expertise to manage and optimize complex distributed systems.

Supermetrics videos

Supermetrics Overview

Hadoop videos

What is Big Data and Hadoop?

More videos:

  • Review - Product Ratings on Customer Reviews Using HADOOP.
  • Tutorial - Hadoop Tutorial For Beginners | Hadoop Ecosystem Explained in 20 min! - Frank Kane

Category Popularity

0-100% (relative to Supermetrics and Hadoop)
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 Hadoop.

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 Hadoop. 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 Hadoop

Supermetrics Reviews

Best Affordable Alternatives to Supermetrics
Supermetrics integrates marketing metrics with the places where customers currently save their data, whether it’s a reporting app, a spreadsheet, a data lake, or a data warehouse. However, Supermetrics has some significant flaws. For example, it is expensive, has slow processing with large data sets, and does not provide a built-in reporting system. Without a doubt, this...
Source: adsbot.co
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

Hadoop Reviews

A List of The 16 Best ETL Tools And Why To Choose Them
Companies considering Hadoop should be aware of its costs. A significant portion of the cost of implementing Hadoop comes from the computing power required for processing and the expertise needed to maintain Hadoop ETL, rather than the tools or storage themselves.
16 Top Big Data Analytics Tools You Should Know About
Hadoop is an Apache open-source framework. Written in Java, Hadoop is an ecosystem of components that are primarily used to store, process, and analyze big data. The USP of Hadoop is it enables multiple types of analytic workloads to run on the same data, at the same time, and on a massive scale on industry-standard hardware.
5 Best-Performing Tools that Build Real-Time Data Pipeline
Hadoop is an open-source framework that allows to store and process big data in a distributed environment across clusters of computers using simple programming models. It is designed to scale up from single servers to thousands of machines, each offering local computation and storage. Rather than relying on hardware to deliver high-availability, the library itself is...

Social recommendations and mentions

Based on our record, Hadoop should be more popular than Supermetrics. It has been mentiond 25 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

Hadoop mentions (25)

  • Apache Hadoop: Open Source Business Model, Funding, and Community
    This post provides an in‐depth look at Apache Hadoop, a transformative distributed computing framework built on an open source business model. We explore its history, innovative open funding strategies, the influence of the Apache License 2.0, and the vibrant community that drives its continuous evolution. Additionally, we examine practical use cases, upcoming challenges in scaling big data processing, and future... - Source: dev.to / 26 days ago
  • What is Apache Kafka? The Open Source Business Model, Funding, and Community
    Modular Integration: Thanks to its modular approach, Kafka integrates seamlessly with other systems including container orchestration platforms like Kubernetes and third-party tools such as Apache Hadoop. - Source: dev.to / 26 days ago
  • India Open Source Development: Harnessing Collaborative Innovation for Global Impact
    Over the years, Indian developers have played increasingly vital roles in many international projects. From contributions to frameworks such as Kubernetes and Apache Hadoop to the emergence of homegrown platforms like OpenStack India, India has steadily carved out a global reputation as a powerhouse of open source talent. - Source: dev.to / about 1 month 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 / 3 months ago
  • Apache Hadoop: Pioneering Open Source Innovation in Big Data
    Apache Hadoop is more than just software—it’s a full-fledged ecosystem built on the principles of open collaboration and decentralized governance. Born out of a need to process vast amounts of information efficiently, Hadoop uses a distributed file system and the MapReduce programming model to enable scalable, fault-tolerant computing. Central to its success is a diverse ecosystem that includes influential... - Source: dev.to / 3 months ago
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What are some alternatives?

When comparing Supermetrics and Hadoop, you can also consider the following products

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

Apache Spark - Apache Spark is an engine for big data processing, with built-in modules for streaming, SQL, machine learning and graph processing.

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.

PostgreSQL - PostgreSQL is a powerful, open source object-relational database system.

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

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