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Apache Portable Runtime VS Datera

Compare Apache Portable Runtime VS Datera and see what are their differences

Apache Portable Runtime logo Apache Portable Runtime

The Apache Portable Runtime (APR) is a supporting library for the Apache web server.

Datera logo Datera

Get sub-200µS latency & millions of IOPS with 100% software-defined data automation. Save up to 70% on data infrastructure total-cost-of-ownership. Try Datera for FREE!
  • Apache Portable Runtime Landing page
    Landing page //
    2021-10-16
  • Datera Landing page
    Landing page //
    2021-08-08

Apache Portable Runtime features and specs

  • Portability
    APR provides a consistent API across various platforms, enabling developers to write applications that are portable between different operating systems.
  • Performance
    APR is designed to provide high-performance solutions for common programming tasks, such as file I/O, network communication, and memory management, optimized for each supported platform.
  • Rich API Set
    APR provides a comprehensive set of APIs for handling tasks like file operations, network sockets, shared memory, and threading, which can simplify application development.
  • Open Source
    Being an open-source library, APR allows developers to inspect, modify, and distribute the source code, fostering community collaboration and trust.
  • Apache Integration
    APR is used by Apache HTTP Server and other Apache projects, offering proven stability and performance tested in enterprise environments.

Possible disadvantages of Apache Portable Runtime

  • Complexity
    The wide range of functionality and extensive API set can introduce complexity, making the learning curve steeper for new developers.
  • Limited Language Support
    APR is primarily designed for use with C and C++. Developers using other programming languages may find it less accessible or require additional bindings.
  • Platform Specific Issues
    Despite its goal of portability, certain platform-specific issues or limitations may arise, requiring additional effort to ensure consistent application behavior.
  • Dependency Overhead
    Using APR can introduce additional dependencies into a project, potentially complicating the build process and increasing the size of the deployed application.
  • Not Always Necessary
    For applications that do not require cross-platform compatibility or for environments where minimal external dependencies are preferred, the use of APR might not be justified.

Datera features and specs

  • Scalability
    Datera offers scalable storage solutions that can grow with your organization's needs, allowing for easy expansion without significant overhauls.
  • Flexibility
    The platform supports a wide range of protocols and is designed to work in diverse IT environments, making it adaptable to various use cases.
  • High Performance
    Datera emphasizes high performance storage, optimizing data access and retrieval speeds which is crucial for high-demand applications.
  • Automation
    Datera incorporates automation to simplify storage management, reducing administrative overhead and potential for human error.

Possible disadvantages of Datera

  • Complexity
    Due to its rich feature set and flexibility, Datera may be complex to set up and configure, requiring knowledgeable staff to manage.
  • Cost
    The advanced features and scalability options of Datera could result in higher costs compared to more basic solutions.
  • Learning Curve
    Users may face a steep learning curve to fully leverage all features of the platform, impacting deployment times and initial productivity.
  • Vendor Lock-in
    Reliance on a proprietary solution might lead to concerns about vendor lock-in, which can limit flexibility in switching platforms.

Apache Portable Runtime videos

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Datera videos

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Category Popularity

0-100% (relative to Apache Portable Runtime and Datera)
Cloud Storage
62 62%
38% 38
Cloud Computing
61 61%
39% 39
Storage
60 60%
40% 40
Object Storage
50 50%
50% 50

User comments

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Social recommendations and mentions

Based on our record, Apache Portable Runtime seems to be more popular. It has been mentiond 5 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.

Apache Portable Runtime mentions (5)

  • Giving C++ std:regex a C makeover
    Something like that would probably end up similar to GLib or the Apache Portable Runtime. https://gitlab.gnome.org/GNOME/glib/ https://apr.apache.org/. - Source: Hacker News / 8 months ago
  • My review of the C standard library in practice
    There are many libraries available that you can use as a libc replacement instead of CCAN, if that’s what you prefer [1-3]. Taking on a beefy dependency like that can be overkill, though, if all you need is a linked list or dynamic array implementation. [1] http://library.gnome.org/devel/glib/ [2] http://apr.apache.org/ [3] https://libcork.io/. - Source: Hacker News / about 2 years ago
  • Is there a custom "C Standard Library" out there?
    There are many. APR is one of them. APR stands for Apache Portable Runtime. It includes arrays(aprarray) and hash tables(aprhash), but not trees. Source: over 2 years ago
  • A C Standard Library
    A library that already implements some of this called libapr is what I’d consider a good example of libraries of this Ilk. Source: over 3 years ago
  • Git's list of banned C functions
    It's not really complacency: it's that the standard library is intentionally minimalistic to maintain portability and backwards compatibility. If you want sensible string handling, it's usually best to use a high level utility library like GLib(https://developer.gnome.org/glib/stable/) or Apache Portable Runtime(http://apr.apache.org/), or roll your own safe string type (preferably non-null terminating). - Source: Hacker News / about 4 years ago

Datera mentions (0)

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

What are some alternatives?

When comparing Apache Portable Runtime and Datera, you can also consider the following products

rkt - App Container runtime

GlusterFS - GlusterFS is a scale-out network-attached storage file system.

Apache Karaf - Apache Karaf is a lightweight, modern and polymorphic container powered by OSGi.

Apache ServiceMix - Apache ServiceMix is an open source ESB that combines the functionality of a Service Oriented Architecture and the modularity.

REX-Ray - Runtime

Apache Edgent - Apache Edgent is an open source community for accelerating analytics at the edge.