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Apache Spark VS Deepart.io

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

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Apache Spark logo Apache Spark

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

Deepart.io logo Deepart.io

Artificial intelligence turning your photos into art
  • Apache Spark Landing page
    Landing page //
    2021-12-31
  • Deepart.io Landing page
    Landing page //
    2018-11-05

Apache Spark features and specs

  • Speed
    Apache Spark processes data in-memory, significantly increasing the processing speed of data tasks compared to traditional disk-based engines.
  • Ease of Use
    Spark offers high-level APIs in Java, Scala, Python, and R, making it accessible to a broad range of developers and data scientists.
  • Advanced Analytics
    Spark supports advanced analytics, including machine learning, graph processing, and real-time streaming, which can be executed in the same application.
  • Scalability
    Spark can handle both small- and large-scale data processing tasks, scaling seamlessly from a single machine to thousands of servers.
  • Support for Various Data Sources
    Spark can integrate with a wide variety of data sources, including HDFS, Apache HBase, Apache Hive, Cassandra, and many others.
  • Active Community
    Spark has a vibrant and active community, providing a wealth of extensions, tools, and support options.

Possible disadvantages of Apache Spark

  • Memory Consumption
    Spark's in-memory processing can be resource-intensive, requiring substantial amounts of RAM, which can drive up costs for large-scale deployments.
  • Complexity in Configuration
    To optimize performance, Spark requires careful configuration and tuning, which can be complex and time-consuming.
  • Learning Curve
    Despite its ease of use, mastering the full range of Spark's features and best practices can take considerable time and effort.
  • Latency for Small Data
    For smaller datasets or low-latency requirements, Spark might not be the most efficient choice, as other technologies could offer better performance.
  • Integration Overhead
    Though Spark integrates with many systems, incorporating it into an existing data infrastructure can introduce additional overhead and complexity.
  • Community Support Variability
    While the community is active, the support and quality of third-party libraries and tools can be inconsistent, leading to potential challenges in implementation.

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 Spark videos

+ Add

Weekly Apache Spark live Code Review -- look at StringIndexer multi-col (Scala) & Python testing

More videos:

  • Review - What's New in Apache Spark 3.0.0
  • Review - Apache Spark for Data Engineering and Analysis - Overview

Deepart.io videos

+ Add

I AM AN ARTIST | Friday Rayday | DeepArt.io

Category Popularity

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

Apache Spark

Deepart.io

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

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Apache Spark and Deepart.io

Apache Spark Reviews

15 data science tools to consider using in 2021
Apache Spark is an open source data processing and analytics engine that can handle large amounts of data -- upward of several petabytes, according to proponents. Spark's ability to rapidly process data has fueled significant growth in the use of the platform since it was created in 2009, helping to make the Spark project one of the largest open source communities among big...
Source: searchbusinessanalytics.techtarget.com
Top 15 Kafka Alternatives Popular In 2021
Apache Spark is a well-known, general-purpose, open-source analytics engine for large-scale, core data processing. It is known for its high-performance quality for data processing – batch and streaming with the help of its DAG scheduler, query optimizer, and engine. Data streams are processed in real-time and hence it is quite fast and efficient. Its machine learning...
Source: www.spec-india.com
5 Best-Performing Tools that Build Real-Time Data Pipeline
Apache Spark is an open-source and flexible in-memory framework which serves as an alternative to map-reduce for handling batch, real-time analytics and data processing workloads. It provides native bindings for the Java, Scala, Python, and R programming languages, and supports SQL, streaming data, machine learning and graph processing. From its beginning in the AMPLab at...
Source: www.analyticsinsight.net

Deepart.io Reviews

We have no reviews of Deepart.io yet.
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Social recommendations and mentions

Based on our record, Apache Spark should be more popular than Deepart.io. It has been mentiond 70 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 Spark mentions (70)

  • Every Database Will Support Iceberg — Here's Why
    Apache Iceberg defines a table format that separates how data is stored from how data is queried. Any engine that implements the Iceberg integration — Spark, Flink, Trino, DuckDB, Snowflake, RisingWave — can read and/or write Iceberg data directly. - Source: dev.to / 15 days ago
  • How to Reduce Big Data Analytics Costs by 90% with Karpenter and Spark
    Apache Spark powers large-scale data analytics and machine learning, but as workloads grow exponentially, traditional static resource allocation leads to 30–50% resource waste due to idle Executors and suboptimal instance selection. - Source: dev.to / 17 days ago
  • Unveiling the Apache License 2.0: A Deep Dive into Open Source Freedom
    One of the key attributes of Apache License 2.0 is its flexible nature. Permitting use in both proprietary and open source environments, it has become the go-to choice for innovative projects ranging from the Apache HTTP Server to large-scale initiatives like Apache Spark and Hadoop. This flexibility is not solely legal; it is also philosophical. The license is designed to encourage transparency and maintain a... - Source: dev.to / about 2 months ago
  • The Application of Java Programming In Data Analysis and Artificial Intelligence
    [1] S. Russell and P. Norvig, Artificial Intelligence: A Modern Approach. Pearson, 2020. [2] F. Chollet, Deep Learning with Python. Manning Publications, 2018. [3] C. C. Aggarwal, Data Mining: The Textbook. Springer, 2015. [4] J. Dean and S. Ghemawat, "MapReduce: Simplified Data Processing on Large Clusters," Communications of the ACM, vol. 51, no. 1, pp. 107-113, 2008. [5] Apache Software Foundation, "Apache... - Source: dev.to / about 2 months ago
  • Automating Enhanced Due Diligence in Regulated Applications
    If you're designing an event-based pipeline, you can use a data streaming tool like Kafka to process data as it's collected by the pipeline. For a setup that already has data stored, you can use tools like Apache Spark to batch process and clean it before moving ahead with the pipeline. - Source: dev.to / 3 months ago
View more

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

What are some alternatives?

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

Apache Flink - Flink is a streaming dataflow engine that provides data distribution, communication, and fault tolerance for distributed computations.

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

Hadoop - Open-source software for reliable, scalable, distributed computing

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

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

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

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