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Apache Hive VS My Visual Database

Compare Apache Hive VS My Visual Database 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.

My Visual Database logo My Visual Database

Using My Visual Database, you can create databases for invoicing, inventory, CRM, or any specific purpose.
  • Apache Hive Landing page
    Landing page //
    2023-01-13
  • My Visual Database Landing page
    Landing page //
    2021-10-15

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.

My Visual Database features and specs

  • User-Friendly Interface
    My Visual Database offers a graphical user interface that makes it easier for users to create and manage databases without needing extensive programming knowledge.
  • Rapid Development
    The software allows for quick application development, making it suitable for small to medium-sized projects that require fast deployment.
  • Customization
    Users have the ability to customize forms, queries, and reports, providing flexibility to adapt the database to specific needs.
  • Cost-Effective
    Being more affordable than many commercial database solutions, it offers good value for small businesses or individual developers.
  • Built-In Report Generator
    Integrated tools for creating reports directly within the application can save time and effort in generating necessary documentation.
  • Community Support
    An active community forum is available, where users can seek help and share knowledge about the software.

Possible disadvantages of My Visual Database

  • Limited Scalability
    The software may not be suitable for very large or highly complex database applications, potentially limiting its use for enterprise-level solutions.
  • Windows-Only
    My Visual Database is designed to run on Windows OS, which may not be suitable for organizations using other operating systems like macOS or Linux.
  • Limited Integrations
    There are fewer options for integrating with other third-party applications or services compared to more established database management systems.
  • Learning Curve
    Despite its graphical interface, there is still a learning curve involved, especially for users who are not familiar with database concepts.
  • Performance Issues
    Users may experience performance issues as the database size grows, affecting the speed and efficiency of operations.
  • Lack of Advanced Features
    The software lacks some advanced features available in more comprehensive database management solutions, limiting its use in more demanding applications.

Analysis of My Visual Database

Overall verdict

  • My Visual Database is considered a good choice for users who need a straightforward and accessible approach to database management and application development. It caters well to beginners and those looking for a cost-effective solution, as long as the project scope does not exceed the capabilities of what this tool can comfortably handle.

Why this product is good

  • My Visual Database is a tool aimed at users who wish to create databases and applications without extensive coding knowledge. It's valued for its user-friendly interface, integrated capabilities such as form creation, and versatility in managing small to medium-sized database projects. Additionally, it allows for rapid application development which can streamline workflows for individuals or small teams.

Recommended for

    This tool is recommended for small business owners, hobbyists, educators, and non-developers who need to build simple database-driven applications without needing to invest time in learning complex programming languages. It's particularly beneficial for environments where quick turnaround and ease of use are priorities.

Apache Hive videos

+ Add

Hive vs Impala - Comparing Apache Hive vs Apache Impala

My Visual Database videos

+ Add

01 Lesson - simple database of employees using My Visual Database.

More videos:

  • Review - Download My Visual Database Full version Free
  • Review - 02 Lesson - creating phone reference book using My Visual Database.

Category Popularity

0-100% (relative to Apache Hive and My Visual Database)

Apache Hive

My Visual Database

Databases
38 38%
Databases
62% 62
Big Data
100 100%
Big Data
0% 0
NoSQL Databases
0 0%
NoSQL Databases
100% 100
Relational Databases
100 100%
Relational Databases
0% 0

User comments

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Social recommendations and mentions

Based on our record, Apache Hive seems to be more popular. It has been mentiond 8 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

My Visual Database mentions (0)

We have not tracked any mentions of My Visual Database yet. Tracking of My Visual Database recommendations started around Mar 2021.

What are some alternatives?

When comparing Apache Hive and My Visual Database, 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.

Microsoft Office Access - Access is now much more than a way to create desktop databases. It’s an easy-to-use tool for quickly creating browser-based database applications.

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

LibreOffice - Base - Base, database, database frontend, LibreOffice, ODF, Open Standards, SQL, ODBC

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

MongoDB - MongoDB (from "humongous") is a scalable, high-performance NoSQL database.

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