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g3data VS Apache Thrift

Compare g3data VS Apache Thrift and see what are their differences

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g3data logo g3data

g3data is used for extracting data from graphs.

Apache Thrift logo Apache Thrift

An interface definition language and communication protocol for creating cross-language services.
  • g3data Landing page
    Landing page //
    2019-03-21
  • Apache Thrift Landing page
    Landing page //
    2019-07-12

g3data features and specs

  • User-Friendly Interface
    g3data offers a simple and intuitive interface that makes it easy for users to extract data points from graphical images without needing extensive technical knowledge.
  • Lightweight
    The software is lightweight and does not require significant system resources, making it accessible on a wide range of hardware configurations.
  • Cross-Platform Compatibility
    g3data is available for multiple platforms, including Windows and Linux, which broadens its usability across different operating systems.
  • Efficiency
    The software can quickly digitize data from charts or graphs, saving time for users who need to extract data rapidly for analysis.
  • Open Source
    As an open-source project, g3data allows users to access and modify the source code, fostering customization and community-driven improvements.

Possible disadvantages of g3data

  • Limited Features
    g3data primarily focuses on extracting 2D data points and lacks advanced features such as automated data recognition and batch processing.
  • Limited Graphics Support
    The software may not handle complex graphs or charts with intricate designs as effectively as some commercial alternatives.
  • Manual Calibration
    Users must manually calibrate the axes before extracting data, which can be time-consuming and prone to errors if not done carefully.
  • Lack of Active Development
    Updates and new features for g3data may be infrequent, as it relies largely on community contributions rather than consistent professional development.
  • Basic Output Options
    The output options for extracted data are relatively basic, which may require additional formatting or processing in other software for more complex analysis.

Apache Thrift features and specs

  • Cross-Language Support
    Apache Thrift supports numerous programming languages including Java, Python, C++, Ruby, and more, enabling seamless communication between services written in different languages.
  • Efficient Serialization
    Thrift offers efficient binary serialization which helps in reducing the payload size and improves the communication speed between services.
  • Service Definition Flexibility
    Thrift provides a robust interface definition language (IDL) for defining and generating code for services with strict type checking, fostering strong contract interfaces.
  • Scalability
    Due to its lightweight and efficient serialization mechanisms, Apache Thrift can handle a large number of simultaneous client connections, making it suitable for scalable distributed systems.
  • Versioning Support
    Thrift supports service versioning which helps in evolving APIs without disrupting existing services or clients.

Possible disadvantages of Apache Thrift

  • Steep Learning Curve
    For new users, especially those not familiar with RPC frameworks, learning and understanding Thriftโ€™s IDL and operations can be complex and time-consuming.
  • Documentation and Community Support
    Compared to some alternative technologies, Apache Thrift's documentation and community support can be less robust, which might pose challenges in troubleshooting or seeking guidance.
  • Lack of Advanced Features
    Thrift does not support some advanced features like streaming or multiplexing out of the box, which could limit its use in complex systems requiring these functionalities.
  • Infrastructure Overhead
    Integrating Thrift into an existing system might introduce infrastructure overhead both in initial setup and ongoing maintenance, especially when dealing with multiple languages.
  • Protocol Limitations
    While Thrift is highly efficient, its protocol limitations might require additional workarounds for certain data structures or transport mechanisms, complicating development.

Analysis of Apache Thrift

Overall verdict

  • Yes, Apache Thrift is considered to be a good option for projects needing cross-language communication and efficient serialization. Its efficiency and wide adoption have proven it to be a reliable framework in many production environments.

Why this product is good

  • Apache Thrift is a widely used framework for scalable cross-language services development. It allows for seamless communication between programs written in different languages by providing code generation and serialization capabilities for a variety of languages. Thrift supports an efficient binary protocol and is highly customizable, making it a robust choice for services that require performance and flexibility. Additionally, it's an open-source project under the Apache Software Foundation, which ensures it has a strong community and ongoing updates.

Recommended for

  • Organizations that require cross-language service communication
  • Projects that need high-performance and low-latency data transmission
  • Developers looking for a framework with support for multiple programming languages
  • Teams looking for a customizable serialization protocol

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Apache Thrift videos

Apache Thrift

Category Popularity

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Data Extraction
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Web Servers
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Development
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Web And Application Servers

User comments

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Social recommendations and mentions

Based on our record, Apache Thrift seems to be more popular. It has been mentiond 13 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.

g3data mentions (0)

We have not tracked any mentions of g3data yet. Tracking of g3data recommendations started around Mar 2021.

Apache Thrift mentions (13)

  • Show HN: TypeSchema โ€“ A JSON specification to describe data models
    I once read a paper about Apache/Meta Thrift [1,2]. It allows you to define data types/interfaces in a definition file and generate code for many programming languages. It was specifically designed for RPCs and microservices. [1]: https://thrift.apache.org/. - Source: Hacker News / over 1 year ago
  • Delving Deeper: Enriching Microservices with Golang with CloudWeGo
    While gRPC and Apache Thrift have served the microservice architecture well, CloudWeGo's advanced features and performance metrics set it apart as a promising open source solution for the future. - Source: dev.to / over 2 years ago
  • Reddit System Design/Architecture
    Services in general communicate via Thrift (and in some cases HTTP). Source: over 3 years ago
  • Universal type language!
    Protocol Buffers is the most popular one, but there are many others such as Apache Thrift and my own Typical. Source: over 3 years ago
  • You worked on it? Why is it slow then?
    RPC is not strictly OO, but you can think of RPC calls like method calls. In general it will reflect your interface design and doesn't have to be top-down, although a good project usually will look that way. A good contrast to REST where you use POST/PUT/GET/DELETE pattern on resources where as a procedure call could be a lot more flexible and potentially lighter weight. Think of it like defining methods in code... Source: over 3 years ago
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What are some alternatives?

When comparing g3data and Apache Thrift, you can also consider the following products

WebPlotDigitizer - WebPlotDigitizer - Web based tool to extract numerical data from plots, images and maps.

Docker Hub - Docker Hub is a cloud-based registry service

im2graph - im2graph graph digitizing software to convert graphs to numbers

Apache ZooKeeper - Apache ZooKeeper is an effort to develop and maintain an open-source server which enables highly reliable distributed coordination.

DataThief III - DataThief III is a program to extract (reverse engineer) data points from a graph.

Eureka - Eureka is a contact center and enterprise performance through speech analytics that immediately reveals insights from automated analysis of communications including calls, chat, email, texts, social media, surveys and more.