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Deepart.io VS Apache Cassandra

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

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Deepart.io logo Deepart.io

Artificial intelligence turning your photos into art

Apache Cassandra logo Apache Cassandra

The Apache Cassandra database is the right choice when you need scalability and high availability without compromising performance.
  • Deepart.io Landing page
    Landing page //
    2018-11-05
  • Apache Cassandra Landing page
    Landing page //
    2022-04-17

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 Cassandra features and specs

  • Scalability
    Apache Cassandra is designed for linear scalability and can handle large volumes of data across many commodity servers without a single point of failure.
  • High Availability
    Cassandra ensures high availability by replicating data across multiple nodes. Even if some nodes fail, the system remains operational.
  • Performance
    It provides fast writes and reads by using a peer-to-peer architecture, making it highly suitable for applications requiring quick data access.
  • Flexible Data Model
    Cassandra supports a flexible schema, allowing users to add new columns to a table at any time, making it adaptable for various use cases.
  • Geographical Distribution
    Data can be distributed across multiple data centers, ensuring low-latency access for geographically distributed users.
  • No Single Point of Failure
    Its decentralized nature ensures there is no single point of failure, which enhances resilience and fault-tolerance.

Possible disadvantages of Apache Cassandra

  • Complexity
    Managing and configuring Cassandra can be complex, requiring specialized knowledge and skills for optimal performance.
  • Eventual Consistency
    Cassandra follows an eventual consistency model, meaning that there might be a delay before all nodes have the latest data, which may not be suitable for all use cases.
  • Write-heavy Operations
    Although Cassandra handles writes efficiently, write-heavy workloads can lead to compaction issues and increased read latency.
  • Limited Query Capabilities
    Cassandra's query capabilities are relatively limited compared to traditional RDBMS, lacking support for complex joins and aggregations.
  • Maintenance Overhead
    Regular maintenance tasks such as node repair and compaction are necessary to ensure optimal performance, adding to the administrative overhead.
  • Tooling and Ecosystem
    While the ecosystem for Cassandra is growing, it is still not as extensive or mature as those for some other database technologies.

Deepart.io videos

+ Add

I AM AN ARTIST | Friday Rayday | DeepArt.io

Apache Cassandra videos

+ Add

Course Intro | DS101: Introduction to Apache Cassandra™

More videos:

  • Review - Introduction to Apache Cassandra™

Category Popularity

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

Deepart.io

Apache Cassandra

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
NoSQL Databases
0 0%
NoSQL Databases
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 Deepart.io and Apache Cassandra

Deepart.io Reviews

We have no reviews of Deepart.io yet.
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Apache Cassandra Reviews

16 Top Big Data Analytics Tools You Should Know About
Application Areas: If you want to work with SQL-like data types on a No-SQL database, Cassandra is a good choice. It is a popular pick in the IoT, fraud detection applications, recommendation engines, product catalogs and playlists, and messaging applications, providing fast real-time insights.
Source: www.analytixlabs.co.in
9 Best MongoDB alternatives in 2019
The Apache Cassandra is an ideal choice for you if you want scalability and high availability without affecting its performance. This MongoDB alternative tool offers support for replicating across multiple datacenters.
Source: www.guru99.com

Social recommendations and mentions

Based on our record, Apache Cassandra should be more popular than Deepart.io. It has been mentiond 44 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 Cassandra mentions (44)

  • Why You Shouldn’t Invest In Vector Databases?
    In fact, even in the absence of these commercial databases, users can effortlessly install PostgreSQL and leverage its built-in pgvector functionality for vector search. PostgreSQL stands as the benchmark in the realm of open-source databases, offering comprehensive support across various domains of database management. It excels in transaction processing (e.g., CockroachDB), online analytics (e.g., DuckDB),... - Source: dev.to / 14 days ago
  • Data integrity in Ably Pub/Sub
    All messages are persisted durably for two minutes, but Pub/Sub channels can be configured to persist messages for longer periods of time using the persisted messages feature. Persisted messages are additionally written to Cassandra. Multiple copies of the message are stored in a quorum of globally-distributed Cassandra nodes. - Source: dev.to / 6 months ago
  • Which Database is Perfect for You? A Comprehensive Guide to MySQL, PostgreSQL, NoSQL, and More
    Cassandra is a highly scalable, distributed NoSQL database designed to handle large amounts of data across many commodity servers without a single point of failure. - Source: dev.to / 10 months ago
  • Consistent Hashing: An Overview and Implementation in Golang
    Distributed storage Distributed storage systems like Cassandra, DynamoDB, and Voldemort also use consistent hashing. In these systems, data is partitioned across many servers. Consistent hashing is used to map data to the servers that store the data. When new servers are added or removed, consistent hashing minimizes the amount of data that needs to be remapped to different servers. - Source: dev.to / about 1 year ago
  • Understanding SQL vs. NoSQL Databases: A Beginner's Guide
    On the other hand, NoSQL databases are non-relational databases. They store data in flexible, JSON-like documents, key-value pairs, or wide-column stores. Examples include MongoDB, Couchbase, and Cassandra. - Source: dev.to / about 1 year ago
View more

What are some alternatives?

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

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

Redis - Redis is an open source in-memory data structure project implementing a distributed, in-memory key-value database with optional durability.

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

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

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

ArangoDB - A distributed open-source database with a flexible data model for documents, graphs, and key-values.

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