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About

PySpark is an interface for Apache Spark in Python. It not only allows you to write Spark applications using Python APIs, but also provides the PySpark shell for interactively analyzing your data in a distributed environment. PySpark supports most of Spark’s features such as Spark SQL, DataFrame, Streaming, MLlib (Machine Learning) and Spark Core. Spark SQL is a Spark module for structured data processing. It provides a programming abstraction called DataFrame and can also act as distributed SQL query engine. Running on top of Spark, the streaming feature in Apache Spark enables powerful interactive and analytical applications across both streaming and historical data, while inheriting Spark’s ease of use and fault tolerance characteristics.

About

Built and maintained by a team of differential privacy experts, and running in production at institutions like the U.S. Census Bureau. Runs on Spark and effortlessly supports input tables containing billions of rows. Supports a large and ever-growing list of aggregation functions, data transformation operators, and privacy definitions. Perform public and private joins, filters, or user-defined functions on your data. Compute counts, sums, quantiles, and more under multiple privacy models. Differential privacy is made easy, thanks to our simple tutorials and extensive documentation. Tumult Analytics is built on our sophisticated privacy foundation, Tumult Core, which mediates access to sensitive data and means that every program and application comes with an embedded proof of privacy. Built by composing small, easy-to-review components. Provably safe stability tracking and floating-point primitives. Uses a generic framework based on peer-reviewed research.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Application development solution for DevOps teams

Audience

Organizations wanting a solution for computing aggregate queries on tabular data using differential privacy

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version
Free Trial

Pricing

No information available.
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

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Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

PySpark
spark.apache.org/docs/latest/api/python/

Company Information

Tumult Analytics
Founded: 2019
United States
www.tmlt.dev/

Alternatives

Alternatives

Accountable

Accountable

Accountable HQ
LeapYear

LeapYear

LeapYear Technologies
Apache Spark

Apache Spark

Apache Software Foundation
Mage Platform

Mage Platform

Mage Data
Spark Streaming

Spark Streaming

Apache Software Foundation

Categories

Categories

Integrations

Amazon SageMaker Data Wrangler
Apache Spark
Comet LLM
Feast
Fosfor Decision Cloud
Java
Python
SPARK
Tecton
Union Pandera

Integrations

Amazon SageMaker Data Wrangler
Apache Spark
Comet LLM
Feast
Fosfor Decision Cloud
Java
Python
SPARK
Tecton
Union Pandera
Claim PySpark and update features and information
Claim PySpark and update features and information
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