Software Alternatives, Accelerators & Startups

Segment VS Apache NiFi

Compare Segment VS Apache NiFi and see what are their differences

Segment logo Segment

We make customer data simple.

Apache NiFi logo Apache NiFi

An easy to use, powerful, and reliable system to process and distribute data.
  • Segment Landing page
    Landing page //
    2023-10-08
  • Apache NiFi Landing page
    Landing page //
    2019-01-17

Segment

$ Details
-
Release Date
2011 January
Startup details
Country
United States
State
California
Founder(s)
Calvin French-Owen
Employees
500 - 999

Segment features and specs

  • Data Integration
    Segment allows you to integrate data from multiple sources such as websites, mobile apps, servers, cloud services, etc., enabling a comprehensive data ecosystem.
  • Ease of Use
    Segment provides a user-friendly interface and documentation, making it easy for technical and non-technical users to set up and manage data pipelines.
  • Real-time Data
    Segment offers real-time data processing, ensuring that your analytics and other data-driven operations are as up-to-date as possible.
  • Scalability
    Segment is designed to scale with your business needs, accommodating increasing data volumes and new data sources without extensive reconfiguration.
  • Security and Compliance
    Segment provides robust security features and compliance with regulations like GDPR and CCPA, ensuring your data is protected and handled responsibly.
  • Extensive Integrations
    Segment supports a wide range of integrations with popular tools and platforms like Google Analytics, Facebook Ads, AWS, and more, making it versatile for different business needs.

Possible disadvantages of Segment

  • Cost
    Segment can be expensive, particularly for small businesses or startups, as its pricing scales with the volume of data and number of integrations.
  • Complexity in Advanced Use
    For more advanced functionalities, there may be a steep learning curve. Advanced configurations and custom integrations can be complex to implement and manage.
  • Dependency on Third-party Integrations
    Segment's functionality relies heavily on third-party integrations. If any of these integrations face issues, it can disrupt your data flow.
  • Setup Time
    Initial setup and configuration of Segment can be time-consuming, particularly for businesses with complex data pipelines and numerous data sources.
  • Limited Customization
    While Segment offers a wide range of integrations, the ability to customize these integrations may be limited compared to building custom solutions in-house.

Apache NiFi features and specs

  • User-Friendly Interface
    Apache NiFi offers a drag-and-drop interface for designing data flows, making it easy to use even for those without extensive coding experience.
  • Extensive Connector Support
    NiFi comes with a wide range of pre-built connectors for various data sources and destinations, simplifying integration tasks.
  • Real-time Data Processing
    NiFi supports real-time data ingestion and processing, enabling timely data flow management.
  • Scalability
    Designed to be highly scalable, NiFi can handle both small and large data volumes, adjusting to organizational needs as they grow.
  • Flexible Data Routing
    NiFi allows dynamic routing of data based on content, making it versatile for various data transformation and routing needs.
  • Visual Data Monitoring
    It offers real-time monitoring of data flows with visual representations, aiding in quick issue identification and resolution.

Possible disadvantages of Apache NiFi

  • Resource Intensive
    Running NiFi can be resource-intensive, requiring substantial CPU and memory, especially for large-scale operations.
  • Complexity for Advanced Operations
    While straightforward for basic tasks, more complex workflows can become challenging and may require deeper technical expertise.
  • Security Management
    Although NiFi includes security features, configuring and maintaining a secure environment can be complex and time-consuming.
  • Limited Community Support
    As a specialized tool, the user community and available online resources are smaller compared to more widespread software solutions.
  • Learning Curve
    New users may face a steep learning curve, particularly when dealing with advanced features and custom processor development.
  • Licensing Costs for Enterprise Features
    Additional enterprise features and support offered by commercial versions may incur extra costs, potentially increasing the total cost of ownership.

Segment videos

What is Segment? How to Implement and Use It.

More videos:

  • Review - What's In My Bag: Chrome Industries MXD Segment

Apache NiFi videos

Forget Duplicating Local Changes: Apache NiFi and the Flow Development Lifecycle (FDLC)

Category Popularity

0-100% (relative to Segment and Apache NiFi)
Analytics
79 79%
21% 21
Web Analytics
100 100%
0% 0
Data Integration
67 67%
33% 33
Workflow Automation
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 Segment and Apache NiFi

Segment Reviews

7 best Mixpanel alternatives to understand your users
This makes Segment particularly useful for companies with complex data ecosystems, or those who need a unified data platform for a consistent customer view across different departments. If you're more about strong data unification rather than detailed behavioral analysis, Segment might be a good tool alternative to Mixpanel.
Source: www.hotjar.com
Top 10 Fivetran Alternatives - Listing the best ETL tools
Acquired by Twilio in 2020, Segment is a Customer Data Platform (CDP) that offers real-time data connectivity and efficient data. Segment's core focus is gathering customer data through event tracking. It has unique features that allow you to segment your customers, and create personas and audiences for better targeting.
Source: weld.app
Top ETL Tools For 2021...And The Case For Saying "No" To ETL
Segment’s API has native library sources for every language, and helps record customer data from sources such as websites, mobile, apps or servers. It helps optimize analytics by piping raw customer data into data warehouses for further exploration and advanced analysis.
Source: blog.panoply.io

Apache NiFi Reviews

Top 8 Apache Airflow Alternatives in 2024
Another product by Apache is called NiFi – even though it’s also dedicated to data workflow management, it differs from Apache Airflow in many aspects. First of all, Apache NiFi is a completely web-based tool with a drag&drop interface and no coding. It’s easy to add and configure processors as graph nodes of data workflow, set up routing directions as graph edges, and...
Source: blog.skyvia.com
11 Best FREE Open-Source ETL Tools in 2024
Apache NiFi allows you to automate and manage the flow of information systems. It also enables NiFi to be an effective platform for building scalable and powerful dataflows. NiFi follows the fundamental concept of Flow-Based Programming. It has a highly configurable web-based UI, and houses features such as Data Provenance, Extensibility, and Security features.
Source: hevodata.com
10 Best Airflow Alternatives for 2024
Apache NiFi is a free and open-source application that automates data transfer across systems. The application comes with a web-based user interface to manage scalable directed graphs of data routing, transformation, and system mediation logic. It is a sophisticated and reliable data processing and distribution system. To edit data at runtime, it provides a highly flexible...
Source: hevodata.com
15 Best ETL Tools in 2022 (A Complete Updated List)
Apache Nifi simplifies the data flow between various systems using automation. The data flows consist of processors and a user can create their own processors. These flows can be saved as templates and later can be integrated with more complex flows. These complex flows can then be deployed to multiple servers with minimal efforts.
Top 10 Popular Open-Source ETL Tools for 2021
Apache NiFi allows you to automate and manage the flow of information systems. It also enables NiFi to be an effective platform for building scalable and powerful dataflows. NiFi follows the fundamental concept of Flow-Based Programming. It has a highly configurable web-based UI, and houses features such as Data Provenance, Extensibility, and Security features.
Source: hevodata.com

Social recommendations and mentions

Based on our record, Segment should be more popular than Apache NiFi. It has been mentiond 45 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.

Segment mentions (45)

  • The Definitive Guide to Braze API
    Twilio Segment: Specializes in customer data collection with a more neutral stance toward destination platforms. Its API allows flexible data routing across your tech stack without being tied to specific engagement channels. - Source: dev.to / 23 days ago
  • API Analytics: A Strategic Toolkit for Optimization
    To collect these metrics effectively, you'll need specialized tools like Google Analytics, Mixpanel, Segment, or Amplitude. - Source: dev.to / about 1 month ago
  • Unlocking API Potential: Behavioral Analytics for Enhanced User Experience
    Segment for event collection and routing. - Source: dev.to / about 2 months ago
  • My 2024 Good Links List
    Segment – Customer data platform for tracking and analytics. - Source: dev.to / 5 months ago
  • Networking cant be easier than this
    And importantly the user data: like the signup, login events, message events back and forth between the user and AI, page visits etc are tracked with the help of Twilio segment. - Source: dev.to / 11 months ago
View more

Apache NiFi mentions (18)

  • NSA Ghidra open-source reverse engineering framework
    They also contributed Apache NiFi but that was much earlier: https://nifi.apache.org/. - Source: Hacker News / 11 months ago
  • Workbench for Apache NiFi data flows
    This article presents the concept and implementation of a universal workbench for Apache NiFi data flows. - Source: dev.to / 12 months ago
  • Ask HN: What low code platforms are worth using?
    Apache NIFI (https://nifi.apache.org/). It uses the concept of Flow-based programming. Also its so underacknolged but this tool is very flexible. I have used as an Event Bus all the 3rd-Party Integrations. - Source: Hacker News / over 1 year ago
  • Help with choosing techstack for a new DE team
    Presently setting up Apache Nifi + Apache MiNiFi for the ETL portion of my work. NiFi was easy enough to figure out; but the docs for MiNiFi have been a pain due to differences between the Java and C++ versions. I then entirely configured it with the Java version so that it was easier to search for answers for the MiNiFi yaml syntax. Source: almost 2 years ago
  • Json splitting and Rerouting (new to nifi)
    NIFI, like most Apache projects does most of its discussion on its mailing lists, but also has a slack. Source: about 2 years ago
View more

What are some alternatives?

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

Matomo - Matomo is an open-source web analytics platform

Histats - Start tracking your visitors in 1 minute!

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

AFSAnalytics - AFSAnalytics.