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Apache Hive VS .NET

Compare Apache Hive VS .NET and see what are their differences

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Apache Hive logo Apache Hive

Apache Hive data warehouse software facilitates querying and managing large datasets residing in distributed storage.

.NET logo .NET

.NET is a free, cross-platform, open source developer platform for building many different types of applications.
  • Apache Hive Landing page
    Landing page //
    2023-01-13
  • .NET Landing page
    Landing page //
    2023-09-19

Apache Hive features and specs

  • Scalability
    Apache Hive is built on top of Hadoop, allowing it to efficiently handle large datasets by distributing the load across a cluster of machines.
  • SQL-like Interface
    Hive provides a familiar SQL-like querying language, HiveQL, which makes it easier for users with SQL knowledge to perform data analysis on large datasets without needing to learn a new syntax.
  • Integration with Hadoop Ecosystem
    Hive integrates seamlessly with other components of the Hadoop ecosystem such as HDFS for storage and MapReduce for processing, making it a versatile tool for big data processing.
  • Schema on Read
    Hive uses a schema-on-read model which allows it to work with flexible data schemas and handle unstructured or semi-structured data efficiently.
  • Extensibility
    Users can extend Hive's capabilities by writing custom UDFs (User Defined Functions), UDAFs (User Defined Aggregate Functions), and SerDes (Serializers/ Deserializers).

Possible disadvantages of Apache Hive

  • Latency in Query Processing
    Queries in Hive often take longer to execute compared to traditional databases, as they are converted to MapReduce jobs which can introduce significant latency.
  • Limited Real-time Processing
    Hive is designed for batch processing and is not suitable for real-time analytics due to its reliance on MapReduce, which is not optimized for low-latency operations.
  • Complex Configuration
    Setting up Hive and configuring it to work optimally within a Hadoop cluster can be complex and require a significant amount of effort and expertise.
  • Lack of Support for Transactions
    Hive does not natively support full ACID transactions, which can be a limitation for applications that require consistent transaction management across large datasets.
  • Dependency on Hadoop
    Hive's reliance on the Hadoop ecosystem means it inherits some of Hadoop's limitations, such as a steep learning curve and the need for substantial resources to manage a cluster.

.NET features and specs

  • Cross-Platform
    The .NET platform supports Windows, macOS, and Linux, which allows for the development and deployment of applications across different operating systems.
  • Performance
    ASP.NET Core, a part of the .NET ecosystem, has high-performance benchmarks and is suitable for developing scalable and high-performance systems.
  • Large Ecosystem
    .NET has a vast library of pre-built components, frameworks, and APIs that speed up development and reduce the need for writing code from scratch.
  • Strong Community Support
    There is a large and active community of developers, providing resources such as forums, documentation, and third-party tools.
  • Integrated Development Environment (IDE)
    Visual Studio, the primary IDE for .NET, offers robust features like IntelliSense, debugging, and testing tools, making development easier and more efficient.
  • Security
    .NET provides a range of security features, including code access security, role-based security, and encryption, making it a reliable choice for secure applications.
  • Compatible with Modern Development
    .NET supports modern development practices like containerization with Docker and cloud-native applications, particularly with Azure.
  • Language Support
    .NET supports multiple programming languages like C#, F#, and VB.NET, allowing developers to choose the right one for their needs.

Possible disadvantages of .NET

  • Learning Curve
    Given its vast ecosystem and feature set, .NET can have a steep learning curve for beginners.
  • Memory Usage
    .NET applications can be more memory-intensive compared to applications built with some other frameworks, which can be a concern for resource-constrained environments.
  • Platform-Specific Issues
    While .NET is cross-platform, certain platform-specific issues can arise, requiring additional work to ensure compatibility.
  • Cost of Microsoft Tools
    Although .NET is open-source, some associated tools like Visual Studio Enterprise come with significant licensing costs.
  • Smaller Talent Pool
    Compared to more universally taught languages like Python or JavaScript, finding highly skilled .NET developers can be more challenging.

Analysis of .NET

Overall verdict

  • Yes, .NET is considered a good and reliable choice for developers due to its robust features, cross-platform capabilities, and strong community support.

Why this product is good

  • Microsoft's .NET is a versatile and powerful open-source developer platform that supports building a wide range of applications, including web, mobile, desktop, gaming, cloud, and IoT applications. It offers strong language support for languages like C#, F#, and VB.NET and provides a rich ecosystem of libraries, tools, and frameworks such as ASP.NET for web development and Xamarin for mobile development. The platform is known for its performance, security, and the ability to work seamlessly across different operating systems, including Windows, macOS, and Linux.

Recommended for

  • Enterprise applications
  • Cross-platform development
  • Web developers using ASP.NET
  • Mobile app developers using Xamarin
  • Game developers utilizing Unity

Apache Hive videos

+ Add

Hive vs Impala - Comparing Apache Hive vs Apache Impala

.NET videos

+ Add

.NET Design Review: DataFrame

More videos:

  • Review - Truetrader.net | Loophole EXPOSED
  • Review - .NET Design Review: .NET Core 3.1

Category Popularity

0-100% (relative to Apache Hive and .NET)

Apache Hive

.NET

Databases
100 100%
Databases
0% 0
Ad Servers
0 0%
Ad Servers
100% 100
Big Data
100 100%
Big Data
0% 0
Developer Tools
0 0%
Developer Tools
100% 100

User comments

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Social recommendations and mentions

Based on our record, .NET should be more popular than Apache Hive. It has been mentiond 51 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 Hive mentions (8)

View more

.NET mentions (51)

  • The Delta Difference: Unleashing .NET, EF Core, and PostgreSQL Performance with Delta
    1.Dot net is the most performant framework 2.EF Core has gotten better and provides a slew of performance steps 3.PostgreSQL is a powerful, open source object-relational database that safely stores and scales the most complicated data workloads. 4.Delta An efficient approach to implementing a 304 Not Modified leveraging DB change tracking. - Source: dev.to / 7 days ago
  • How to Build a .NET PDF Editor (Developer Tutorial)
    Editing PDF files programmatically is a common requirement in enterprise applications — whether you're modifying invoices, generating reports, or enabling users to fill and save forms. The .NET ecosystem lacks native support for advanced PDF editing, which makes third-party libraries crucial. - Source: dev.to / about 1 month ago
  • dotnet cross-platform interop with C via Environment.ProcessId system call
    Dotnet (.NET 9 is used for this article) and C# decompiler. - Source: dev.to / 3 months ago
  • Why Does Everyone Forget Java and C# for Backend Development? Why Don’t Full-Stack Developers Learn Java and C#?
    C# was developed by Microsoft in the early 2000s as part of its .NET initiative, led by Anders Hejlsberg. Originally designed as an alternative to Java, C# evolved into a powerful language for Windows applications, backend services, game development (via Unity), and cloud computing. The introduction of .NET Core made C# fully cross-platform, allowing it to run on Windows, Linux, and macOS. - Source: dev.to / 4 months ago
  • Implementing Social Authentication in .NET Web API
    This blog post details how to implement social authentication and provide users with several social login options and how we can handle the users' data obtained as a result of these logins in our application. In this blog post, we’ll look at how we can integrate Google and Facebook login authentications. We will see how this can be implemented from the server side of an application using .NET 6; Microsoft's own... - Source: dev.to / 10 months ago
View more

What are some alternatives?

When comparing Apache Hive and .NET, you can also consider the following products

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

WPMU DEV - WPMU offers WordPress Plugins, WordPress Themes, WordPress Multisite and BuddyPress Plugins and Themes.

Apache Doris - Apache Doris is an open-source real-time data warehouse for big data analytics.

MAMP - MAMP is the abbreviation for Macintosh, Apache, MySQL, and PHP. It is a reliable application with its four components that allows you to access the local PHP server as well as the database server (SQL).

ClickHouse - ClickHouse is an open-source column-oriented database management system that allows generating analytical data reports in real time.

Firefox Developer Edition - Built for those who build the Web. The only browser made for developers.

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