Software Alternatives, Accelerators & Startups
Register | Login

Prisma VS Apache Spark

Compare Prisma VS Apache Spark and see what are their differences

Hive
Seamless project management and collaboration for your team. featured
Note: These products don't have any matching categories. If you think this is a mistake, please edit the details of one of the products and suggest appropriate categories.
Contents:
  1. » Base Details
  2. » Videos
  3. » Reviews
  4. » Alternatives

Prisma logo Prisma

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

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.
  • Prisma Landing page
    Landing page //
    2023-05-11
  • Apache Spark Landing page
    Landing page //
    2021-12-31

Prisma features and specs

  • High-Quality Filters
    Prisma offers a variety of artistic filters that can turn ordinary photos into works of art, mimicking styles of famous artists.
  • User-Friendly Interface
    The app features an intuitive and easy-to-navigate interface, making it accessible for users of all experience levels.
  • Regular Updates
    Prisma provides regular updates to keep the app fresh and secure, often releasing new filters and features.
  • Cross-Platform
    Available on both iOS and Android platforms, allowing a wider range of users to enjoy its features.
  • Social Media Integration
    Prisma allows easy sharing to social media platforms, making it convenient for users to showcase their edited photos.

Possible disadvantages of Prisma

  • Performance Issues
    Some users report that the app can be slow, especially when applying more complex filters.
  • Subscription Model
    While Prisma offers a free version, access to premium filters and features requires a subscription, which might not be suitable for all users.
  • High Data Usage
    The app can consume a lot of data, especially when downloading new filters or uploading high-resolution photos.
  • Limited Offline Functionality
    Most of Prisma’s features require an internet connection, which can be a limitation in areas with poor connectivity.
  • Privacy Concerns
    As with many photo apps, there are concerns about data security and how user images are stored and used.

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.

Prisma videos

+ Add

PRISMA 2020: updated guidelines for reporting systematic reviews and meta-analyses

More videos:

  • Review - PRISMA GUIDELINES FOR SYSTEMATIC REVIEW and META-ANALYSIS
  • Review - PRISMA Methods Systematic Review of Diagnostic Studies

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

Category Popularity

0-100% (relative to Prisma and Apache Spark)

Prisma

Apache Spark

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 Prisma and Apache Spark. For example, how are they different and which one is better?
Log in or Post with

Reviews

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

Prisma Reviews

  1. shah7
    · Admin at Lensa Mod ·
    Lensa

    Prisma AI is a computer vision and AI company that specializes in developing deep learning algorithms for image and video processing. It offers a range of products for object recognition, image and video classification, and style transfer. Many users have praised its ease of use and accurate results. However, like any technology, it has its limitations and may not always provide the best results for all use cases.

5 Apps Like Prisma Photo Editor
Prisma Photo Editor is an elegant photo editing platform that creates awesome photos while letting you apply tons of amazing features, effects, and functionalities right away. You can make your pics look awesome while applying Prisma’s effects and filters.
Source: www.justalternativeto.com
11 Best AI-Powered Photo Editor Software and Apps for Professionals
Prisma recently rolled out another similar AI-powered editing app named Lensa, which’s solely made for selfies and portrait photos. It can cover up pimples, dark circles and do other skin corrections along with overall enhancements.
Source: geekflare.com
Best free and paid photo editing apps for iPhone and Android
Prisma doesn't deal with subtle filters and basic image corrections. Instead, its trippy filters will transform your images into often bizarre artistic creations. The results have a painterly effect and indeed many filters are inspired by artists such as Salvador Dali and Picasso. The filters are strong, and while you can tweak them, not every filter will work with every...
Source: www.cnet.com
5 Free Prisma Alternative Software for Windows to Turn Photos into Art
If you love turning photos into artwork, then you must love the Prisma app. However, it doesn’t offer any desktop client and only works on Android and iPhone. But, what if you want to turn your photos into artwork while working on PC? Well, then using some of the Prisma alternative software for Windows is probably the best option for you to do the same. To ease up things for...
Source: www.ilovefreesoftware.com

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

Social recommendations and mentions

Based on our record, Apache Spark seems to be a lot more popular than Prisma. While we know about 70 links to Apache Spark, we've tracked only 5 mentions of Prisma. 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.

Prisma mentions (5)

  • How would generating art in private work ?
    What if I just want to make a few? However if you're hoping to do this just for a few images then there are some very low cost apps (often free if you plan it right) which use Stable Diffusion and Dreambooth in the background to produce the personalised images. One such example is Lensa. Source: about 2 years ago
  • Catching The Morning Sun
    Perhaps, or they just used an app like Prisma to add that “painting” effect. Source: about 3 years ago
  • Need your review. As a backend dev are you happy with GraphQL vs REST?
    I had to deal with this more in Rails whereas in Node/Apollo, using Prisma made composing efficient/perform ant SQL queries trivial: https://www.prisma.io/. Source: over 3 years ago
  • Carrack phone wallpaper edited using style transfer
    I really liked this wallpaper by /u/MadDaz and I tried using style transfers using prisma-ai.com to generate images a bit more abstract. Here are the results! Source: almost 4 years ago
  • Rare Rye Rose Mash-up
    Thanks - I made it on my android phone using Prisma and Snapseed. Source: almost 4 years ago

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 / 11 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 / 13 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

What are some alternatives?

When comparing Prisma and Apache Spark, you can also consider the following products

Deepart.io - Artificial intelligence turning your photos into art

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

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

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

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

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

Loading...