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Apache Spark VS Submittable

Compare Apache Spark VS Submittable 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.

Submittable logo Submittable

Submittable is an easy-to-use online submission manager.
  • Apache Spark Landing page
    Landing page //
    2021-12-31
  • Submittable Landing page
    Landing page //
    2023-09-13

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.

Submittable features and specs

  • User-Friendly Interface
    Submittable offers an intuitive and easy-to-use interface for both submitters and reviewers, which simplifies the submission and review process.
  • Streamlined Workflow
    The platform supports a streamlined workflow with automated email notifications, task assignments, and status tracking, improving efficiency in managing submissions.
  • Customizable Forms
    Users can create fully customizable submission forms tailored to their specific needs, allowing for more precise data collection.
  • Collaboration Tools
    Submittable provides robust collaboration tools, allowing multiple reviewers to provide feedback, discuss submissions, and make collective decisions.
  • Analytics and Reporting
    The platform offers detailed analytics and reporting features, enabling users to track submission trends, reviewer activity, and overall performance.

Possible disadvantages of Submittable

  • Pricing
    Submittable can be expensive, especially for smaller organizations or individuals, as pricing scales with the volume of submissions and additional features.
  • Limited Free Plan
    The free plan offered by Submittable is quite limited in terms of features and submission volume, necessitating an upgrade for more robust needs.
  • Learning Curve
    While the interface is user-friendly, there can be a learning curve for new users to fully utilize all the advanced features and functionalities.
  • Customization Limitations
    Although forms are customizable, some users may find limitations in customizing the broader workflow and integration aspects to fit their unique requirements.
  • Dependency on Internet
    As a cloud-based platform, Submittable requires a reliable internet connection for access, which can be a drawback in areas with poor connectivity.

Analysis of Apache Spark

Overall verdict

  • Yes, Apache Spark is generally considered good, especially for organizations and individuals that require efficient and fast data processing capabilities. It is well-supported, frequently updated, and widely adopted in the industry, making it a reliable choice for big data solutions.

Why this product is good

  • Apache Spark is highly valued because it provides a fast and general-purpose cluster-computing framework for big data processing. It offers extensive libraries for SQL, streaming, machine learning, and graph processing, making it versatile for various data processing needs. Its in-memory computing capability boosts the processing speed significantly compared to traditional disk-based processing. Additionally, Spark integrates well with Hadoop and other big data tools, providing a seamless ecosystem for large-scale data analysis.

Recommended for

  • Data scientists and engineers working with large datasets.
  • Organizations leveraging machine learning and analytics for decision-making.
  • Businesses needing real-time data processing capabilities.
  • Developers looking to integrate with Hadoop ecosystems.
  • Teams requiring robust support for multiple data sources and formats.

Analysis of Submittable

Overall verdict

  • Yes, Submittable is considered a good platform.

Why this product is good

  • Submittable is a widely-used submission management platform known for its user-friendly interface, comprehensive features, and flexibility in handling a range of submission types. It is praised for streamlining the process of collecting and reviewing submissions, offering customization options for forms, and facilitating effective communication between submitters and administrators. Users appreciate its robust reporting tools and integrations with other services.

Recommended for

    Submittable is recommended for organizations and individuals who need an efficient way to manage and review submissions, such as literary journals, film festivals, grant programs, and scholarship providers. It's well-suited for teams that require collaboration in the decision-making process and for those seeking to enhance their submission workflows with automated tools.

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

Submittable videos

+ Add

Submittable: Accept and review any digital content

More videos:

  • Review - What is Submittable?
  • Review - Submittable: Submissions made simple

Category Popularity

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

Apache Spark

Submittable

Databases
100 100%
Databases
0% 0
ERP
0 0%
ERP
100% 100
Big Data
100 100%
Big Data
0% 0
Awards Management
0 0%
Awards Management
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 Submittable

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

Submittable Reviews

We have no reviews of Submittable yet.
Be the first one to post

Social recommendations and mentions

Based on our record, Apache Spark seems to be a lot more popular than Submittable. While we know about 72 links to Apache Spark, we've tracked only 5 mentions of Submittable. 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 (72)

  • Gravitino - the unified metadata lake
    In the meantime, other query engine support is on the roadmap, including Apache Spark, Apache Flink, and others. - Source: dev.to / about 2 months ago
  • Introducing RisingWave's Hosted Iceberg Catalog-No External Setup Needed
    Because the hosted catalog is a standard JDBC catalog, tools like Spark, Trino, and Flink can still access your tables. For example:. - Source: dev.to / 3 months ago
  • 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 / 5 months 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 / 6 months 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 / 7 months ago
View more

Submittable mentions (5)

  • Looking for art zines
    Try checking out Submittable https://submittable.com/ and Chillsubs https://chillsubs.com/ to look for journals, zines and other publications that are seeking art :) Good luck! Source: about 3 years ago
  • [HELP] How to publish as a new poet.
    You send them into literary magazines & journals. chillsubs.com + submittable.com + duotrope.com are good places to start. Source: over 3 years ago
  • [help]
    You'll need a Submittable account for most mainstream submissions these days. Source: almost 4 years ago
  • Can I get paid by writing poems?
    Another place to search is submittable.com --I think you can even search by paid vs non-paid. Source: almost 4 years ago
  • Where to publish short stories in this day and age?
    Check out duotrope. It's a searchable database of all available publications. You can also use the Discover tab on Submittable. Good luck! Source: about 4 years ago

What are some alternatives?

When comparing Apache Spark and Submittable, 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.

SurveyMonkey Apply - SurveyMonkey Apply enables organizations to streamline the process of collecting and reviewing applications.

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

Award Force - Award Force is recognised as the world’s #1 awards management software, trusted by organisations across the globe to recognise excellence in their field.

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

OpenWater - OpenWater is an awards management software platform that automates, manages, and grows awards programs big and small.

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