Software Alternatives, Accelerators & Startups

Apache Spark VS Digify

Compare Apache Spark VS Digify and see what are their differences

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.

Digify logo Digify

Secure yet simple to use, Digify is the easiest way to track and protect confidential and...
  • Apache Spark Landing page
    Landing page //
    2021-12-31
  • Digify Landing page
    Landing page //
    2023-06-17

Apache Spark videos

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

Digify videos

Webinar on Digify

More videos:

  • Review - Digify for Gmail: Encrypt, track & unsend emails and files
  • Review - Digify for Outlook: Encrypt, track & unsend emails and files

Category Popularity

0-100% (relative to Apache Spark and Digify)
Databases
100 100%
0% 0
Virtual Data Room
0 0%
100% 100
Big Data
100 100%
0% 0
Document Automation
0 0%
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 Digify

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...
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...
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...

Digify Reviews

We have no reviews of Digify yet.
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Social recommendations and mentions

Based on our record, Apache Spark seems to be a lot more popular than Digify. While we know about 58 links to Apache Spark, we've tracked only 1 mention of Digify. 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 (58)

  • How I've implemented the Medallion architecture using Apache Spark and Apache Hdoop
    In this project, I'm exploring the Medallion Architecture which is a data design pattern that organizes data into different layers based on structure and/or quality. I'm creating a fictional scenario where a large enterprise that has several branches across the country. Each branch receives purchase orders from an app and deliver the goods to their customers. The enterprise wants to identify the branch that... - Source: dev.to / 14 days ago
  • Shades of Open Source - Understanding The Many Meanings of "Open"
    In contrast, Databricks maintains internal forks of Spark, Delta Lake, and Unity Catalog, using the same names for both the open-source versions and the features specific to the Databricks platform. While they do provide separate documentation, online discussions often reflect confusion about how to use features in the open-source versions that only exist on the Databricks platform. This creates a "muddying of the... - Source: dev.to / 16 days ago
  • Groovy 🎷 Cheat Sheet - 01 Say "Hello" from Groovy
    Recently I had to revisit the "JVM languages universe" again. Yes, language(s), plural! Java isn't the only language that uses the JVM. I previously used Scala, which is a JVM language, to use Apache Spark for Data Engineering workloads, but this is for another post 😉. - Source: dev.to / 4 months ago
  • 🦿🛴Smarcity garbage reporting automation w/ ollama
    Consume data into third party software (then let Open Search or Apache Spark or Apache Pinot) for analysis/datascience, GIS systems (so you can put reports on a map) or any ticket management system. - Source: dev.to / 5 months ago
  • Go concurrency simplified. Part 4: Post office as a data pipeline
    Also, this knowledge applies to learning more about data engineering, as this field of software engineering relies heavily on the event-driven approach via tools like Spark, Flink, Kafka, etc. - Source: dev.to / 6 months ago
View more

Digify mentions (1)

  • Extracting PDF from protection website
    My bad if this is the wrong sub but im at my wits end. I hired some consultants to create a few documents and once completed they asked for more money or they wont release my stuff. The documents are hosted on digify.com which I have my username and password to access but its all protected, cant copy, print or download. Source: about 2 years ago

What are some alternatives?

When comparing Apache Spark and Digify, 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.

Datasite Diligence - Datasite Diligence is the fastest-growing virtual data room software that is efficient and highly secure.

Apache Airflow - Airflow is a platform to programmaticaly author, schedule and monitor data pipelines.

iDeals Virtual Data Room - iDeals Virtual Data Room is a tool that provides secure access to large amount of confidential documents and can view, analyze and collaborate in a protected environment.

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

Timeref.net - Try Timeref, Digital Vault & Data Room combinaison to secure your sensitive documents. 15 free days - Certified AFNOF NF203 Software