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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

Spark.work is a platform that unites HR Management (HRMS) and Strategy Execution. Designed for growing companies, Spark helps leaders gain clarity and efficiency in people operations, then leverages that foundation to align and execute strategy across the organization. What Spark.work Offers Spark simplifies HR processes while connecting them directly to business goals: People Management: Centralized employee data, leave and attendance tracking, onboarding/offboarding workflows, document management, and visual organization charts. Talent & Growth: Applicant Tracking System (ATS), performance reviews, employee feedback, and development planning. Strategy & Performance: Strategy maps, OKRs, KPIs, and initiatives — all linked back to people and teams. AI Assistance: Smart agents that support KPI/OKR setup, surface insights, and automate repetitive tasks.

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

Spark.work can be used by IT, banking, telecom, insurance, and service companies. It’s built for CEOs, COOs, CHROs, and HR teams who want one integrated solution to manage both people and performance.

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

$1.5 month/per user
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

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

Review this Software

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

Spark.work
Founded: 2019
Armenia
spark.work/

Alternatives

Alternatives

Sage HR

Sage HR

Sage
Apache Spark

Apache Spark

Apache Software Foundation
WorkforceHub

WorkforceHub

Swipeclock
Spark Streaming

Spark Streaming

Apache Software Foundation

Categories

Categories

Human Resources Features

360 Degree Feedback
Applicant Tracking
Attendance Management
Benefits Management
Career Development Planning
Compensation Management
Compliance Management
Employee Database
Employee Lifecycle Management
Onboarding
Payroll Management
Performance Management
Recruiting Management
Self Service Portal
Succession Planning
Time & Attendance Management
Time Off Management
Timesheets
Training Management

Integrations

Amazon SageMaker Data Wrangler
Apache Spark
Bravo for Power BI
ChatGPT
Comet LLM
Feast
Fosfor Decision Cloud
Google Chrome
Google Workspace
Microsoft 365
Tecton
Union Pandera

Integrations

Amazon SageMaker Data Wrangler
Apache Spark
Bravo for Power BI
ChatGPT
Comet LLM
Feast
Fosfor Decision Cloud
Google Chrome
Google Workspace
Microsoft 365
Tecton
Union Pandera
Claim PySpark and update features and information
Claim PySpark and update features and information
Claim Spark.work and update features and information
Claim Spark.work and update features and information