Software Alternatives, Accelerators & Startups

Apache Spark VS Drata

Compare Apache Spark VS Drata 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.

Drata logo Drata

Put SOC 2 Compliance on Autopilot
  • Apache Spark Landing page
    Landing page //
    2021-12-31
  • Drata Landing page
    Landing page //
    2022-10-20

Drata

Website
drata.com
$ Details
-
Release Date
2020 January
Startup details
Country
United States
State
California
City
San Diego
Founder(s)
Adam Markowitz
Employees
10 - 19

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

Drata videos

Drata's 2021 in Review 🎉

More videos:

  • Review - AWS re:Invent 2021 - An inside look at Drata's automated security and compliance
  • Review - Drata - Put SOC 2 on Autopilot

Category Popularity

0-100% (relative to Apache Spark and Drata)
Databases
100 100%
0% 0
SaaS
0 0%
100% 100
Big Data
100 100%
0% 0
Security & Privacy
0 0%
100% 100

User comments

Share your experience with using Apache Spark and Drata. 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 Apache Spark and Drata

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...

Drata Reviews

11 NetBox Alternatives
Drata is an application that provides its services to secure users' data to help them build trust with their customers and boost their sales with the help of its great features. By using this amazing application, you can be able to scale your business in front of the world securely and rank your website on the Google search engine so that customers can reach your store...

Social recommendations and mentions

Based on our record, Apache Spark should be more popular than Drata. It has been mentiond 58 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 (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 / 13 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 / 14 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

Drata mentions (7)

  • Interested in GRC?
    Have you had opportunity to apply any of the compliance automation tools like Drata in your work? Have you found them to be useful? Source: over 1 year ago
  • Seeking critique before soft-launching our B2B SaaS product: Website feedback wanted!
    Have you got any experience from services like Drata (https://drata.com/)? Source: over 1 year ago
  • SOC Compliance for Hardware/Software business
    Have a chat with the folks at https://drata.com/. Thier discovery and automated evidence gathering platform is pretty cool. Prepare for sticker shock though. Getting through any compliance process is a $30k ish annual expense. Source: over 1 year ago
  • Security and Compliance Considerations for the Public Cloud
    Compliance tools like Vanta and Drata integrate with the major cloud providers and allow you to automatically monitor whether compliance criteria are being met. Because these tools can plug directly into the cloud provider APIs, they are able to pull relevant data automatically and send alerts when something is misconfigured. - Source: dev.to / almost 2 years ago
  • The Developer's Guide to SaaS Compliance
    Even if your organization has the practices down, you will still need to spend time maintaining and collecting evidence of compliance. Therefore, it’s beneficial to invest in automated software tools like Vanta or Drata that can speed up the evidence collection process. These tools help manage and record evidence of compliance practices via continuous monitoring of the application’s infrastructure and business... - Source: dev.to / about 2 years ago
View more

What are some alternatives?

When comparing Apache Spark and Drata, 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.

Vanta - Automate compliance, simplify security.

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

Secureframe - Get enterprise ready with SOC 2 and ISO 27001 compliance

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

Unicis - Unicis Open-source Trust Management platform offers automated solutions that streamlines the process of identifying vulnerabilities, conducting audits, and achieving regulatory compliance.Low-cost GRC platform for effortless Security and Compliance