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Deepart.io VS Apache Hive

Compare Deepart.io VS Apache Hive and see what are their differences

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Deepart.io logo Deepart.io

Artificial intelligence turning your photos into art

Apache Hive logo Apache Hive

Apache Hive data warehouse software facilitates querying and managing large datasets residing in distributed storage.
  • Deepart.io Landing page
    Landing page //
    2018-11-05
  • Apache Hive Landing page
    Landing page //
    2023-01-13

Deepart.io features and specs

  • Artistic Transformation
    Deepart.io uses neural networks to transform photos into artwork, allowing users to turn their photos into masterpieces in the style of famous artists and art movements.
  • User-Friendly Interface
    The platform is easy to use, offering a straightforward interface that is accessible even for those with limited technical or artistic skills.
  • Creative Exploration
    The tool encourages creativity by allowing users to experiment with different artistic styles, providing an opportunity to explore and develop one's artistic sense.
  • Online Accessibility
    Being a web-based platform, Deepart.io allows users to access its features without needing to download software, making it convenient and accessible from any device with an internet connection.

Possible disadvantages of Deepart.io

  • Processing Time
    Art transformations can take a significant amount of time to process, especially during peak usage periods, which can be frustrating for users seeking immediate results.
  • Image Resolution
    The resolution of the final artwork may not be as high as expected, which can be a limitation for users looking to print or professionally use the transformed images.
  • Commercial Use Restrictions
    Art created on Deepart.io may have restrictions regarding commercial use, which could limit business applications or the ability to monetize the artwork.
  • Subscription Costs
    While the platform offers some free features, advanced options and higher resolution outputs may require a subscription or a one-time payment, which could be a barrier for some users.

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.

Deepart.io videos

+ Add

I AM AN ARTIST | Friday Rayday | DeepArt.io

Apache Hive videos

+ Add

Hive vs Impala - Comparing Apache Hive vs Apache Impala

Category Popularity

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

Deepart.io

Apache Hive

Digital Drawing And Painting
100 100%
Digital Drawing And Painting
0% 0
Databases
0 0%
Databases
100% 100
Image Editing
100 100%
Image Editing
0% 0
Big Data
0 0%
Big Data
100% 100

User comments

Share your experience with using Deepart.io and Apache Hive. For example, how are they different and which one is better?
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Social recommendations and mentions

Based on our record, Deepart.io should be more popular than Apache Hive. It has been mentiond 19 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.

Deepart.io mentions (19)

  • Useful AI Tools for Blogging
    Quality visual content increases the appeal of a blog. Tools like Canva and DeepArt offer feature-rich options for creating and editing images. - Source: dev.to / 5 months ago
  • Schweizerische!
    I think deepart.io was the first free style-transfer tool. Source: almost 3 years ago
  • AI Stylized Render of a 3D Model I made. I was told you might like it here.
    Https://deepart.io is a bit weird sometimes. But if you fiddle with the settings for a bit it's really good. Source: almost 3 years ago
  • The picture doesn’t do this art justice. It’s soooo perfect!!
    I wouldn't. It's clearly one of the deep learning filters slapped over a screenshot. It's low effort and anyone can make it using something like this https://deepart.io/ something done by hand would look so much better. Source: about 3 years ago
  • ILPT Request: Ways to make pictures look handdrawn?
    Use an ai site like deepart.io, input the picture, and then an image of a drawing you want to recreate the style of. It basically recreates the image but in the style of the drawing. Source: over 3 years ago
View more

Apache Hive mentions (8)

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What are some alternatives?

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

Prisma - Art filters using artificial intelligence to transform your photos into classic artwork.

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

Deep Dream Generator - Create inspiring visual content in a collaboration with our AI enabled tools.

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

Deep Art Effects - Deep Art Effects transforms your photos and videos into works of neural art using artistic style transfer of famous artists.

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

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