Ratings and Reviews 0 Ratings

Total
ease
features
design
support

This software has no reviews. Be the first to write a review.

Write a Review

Ratings and Reviews 0 Ratings

Total
ease
features
design
support

This software has no reviews. Be the first to write a review.

Write a Review

Alternatives to Consider

  • StarTree Reviews & Ratings
    25 Ratings
    Company Website
  • Google Cloud BigQuery Reviews & Ratings
    1,730 Ratings
    Company Website
  • Snowflake Reviews & Ratings
    1,389 Ratings
    Company Website
  • Google Cloud Platform Reviews & Ratings
    55,697 Ratings
    Company Website
  • Vertex AI Reviews & Ratings
    673 Ratings
    Company Website
  • Dynatrace Reviews & Ratings
    3,220 Ratings
  • Lumio Reviews & Ratings
    189 Ratings
    Company Website
  • BigCommerce Reviews & Ratings
    1,046 Ratings
    Company Website
  • Highcharts Reviews & Ratings
    111 Ratings
    Company Website
  • Google Cloud Run Reviews & Ratings
    255 Ratings
    Company Website

What is PySpark?

PySpark acts as the Python interface for Apache Spark, allowing developers to create Spark applications using Python APIs and providing an interactive shell for analyzing data in a distributed environment. Beyond just enabling Python development, PySpark includes a broad spectrum of Spark features, such as Spark SQL, support for DataFrames, capabilities for streaming data, MLlib for machine learning tasks, and the fundamental components of Spark itself. Spark SQL, which is a specialized module within Spark, focuses on the processing of structured data and introduces a programming abstraction called DataFrame, also serving as a distributed SQL query engine. Utilizing Spark's robust architecture, the streaming feature enables the execution of sophisticated analytical and interactive applications that can handle both real-time data and historical datasets, all while benefiting from Spark's user-friendly design and strong fault tolerance. Moreover, PySpark’s seamless integration with these functionalities allows users to perform intricate data operations with greater efficiency across diverse datasets, making it a powerful tool for data professionals. Consequently, this versatility positions PySpark as an essential asset for anyone working in the field of big data analytics.

What is KX Delta Platform?

The KX Delta Platform is a sophisticated data management solution tailored for enterprises, engineered to effectively capture, analyze, and retain both real-time and historical data. It is constructed on kdb+, the leading time-series database globally, and provides adaptable configuration options to meet vital deployment needs, including redundancy and load balancing, while ensuring maximum uptime. The system is fortified with robust security features such as LDAP authorization and data encryption, which uphold stringent compliance with data sensitivity and security standards. Users can leverage its capabilities to visualize information through an intuitive dashboard builder and engage with dynamic data playback, while automated report generation streamlines the reporting process. This platform not only serves as a powerful tool for program management but also facilitates the administration, manipulation, and exploration of extensive real-time and historical datasets. Additionally, its high-speed processing capabilities make it ideal for mission-critical applications, enabling organizations to operate efficiently and effectively. Ultimately, the KX Delta Platform stands out as an essential resource for businesses aiming to harness the full potential of their data.

Media

Media

Integrations Supported

Amazon SageMaker Data Wrangler
Amazon Web Services (AWS)
Apache Spark
Comet LLM
Feast
Fosfor Decision Cloud
Google Cloud Platform
LDAP
Microsoft Azure
Tecton
Union Pandera

Integrations Supported

Amazon SageMaker Data Wrangler
Amazon Web Services (AWS)
Apache Spark
Comet LLM
Feast
Fosfor Decision Cloud
Google Cloud Platform
LDAP
Microsoft Azure
Tecton
Union Pandera

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

PySpark

Company Website

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

Company Facts

Organization Name

KX

Date Founded

1996

Company Location

United States

Company Website

kx.com/products/kx-delta-platform/

Categories and Features

Application Development

Access Controls/Permissions
Code Assistance
Code Refactoring
Collaboration Tools
Compatibility Testing
Data Modeling
Debugging
Deployment Management
Graphical User Interface
Mobile Development
No-Code
Reporting/Analytics
Software Development
Source Control
Testing Management
Version Control
Web App Development

Categories and Features

Data Management

Customer Data
Data Analysis
Data Capture
Data Integration
Data Migration
Data Quality Control
Data Security
Information Governance
Master Data Management
Match & Merge

Popular Alternatives

Popular Alternatives

kdb+ Reviews & Ratings

kdb+

KX Systems
Apache Spark Reviews & Ratings

Apache Spark

Apache Software Foundation