SparkGrid

SparkGrid

Sparksoft Corporation
PySpark SparkGrid

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PySpark:

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.
SparkGrid:

About

SparkGrid is a user-friendly data management tool that simplifies communication with Snowflake by offering a tabularized interface similar to standard spreadsheet applications. It allows users to perform complex data tasks without needing extensive technical knowledge, making Snowflake more accessible. SparkGrid supports multi-field editing, SQL statement previews, and built-in error handling and security features to ensure data integrity. The intuitive graphical user interface enables easy navigation, selection, and manipulation of data such as adding or removing rows and columns. By bridging the gap between visual data management and SQL queries, SparkGrid empowers teams to work efficiently. It is designed to enhance productivity and democratize access to Snowflake’s powerful data capabilities. Available both AWS's marketplace and Microsoft's App Store, just search "Sparkgrid in either Marketplace" Or contact us for custom implementation options.
PySpark:

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported
SparkGrid:

Platforms Supported

Windows Supported
Mac Not Supported
Linux Supported
Cloud Supported
On-Premises Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported
PySpark:

Audience

Application development solution for DevOps teams
SparkGrid:

Audience

SparkGrid is ideal for business analysts, data managers, and teams using Snowflake who want a simple, secure, and efficient spreadsheet-like interface to manage complex data without deep technical expertise
PySpark:

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported
SparkGrid:

Support

Phone Support Supported
24/7 Live Support Not Supported
Online Supported
PySpark:

API

Offers API Supported
SparkGrid:

API

Offers API Not Supported
PySpark:

Screenshots and Videos

SparkGrid:

Screenshots and Videos

PySpark:

Pricing

No information available.
Free Version Not Supported
Free Trial Not Supported
SparkGrid:

Pricing

$0.20/hour or $28.99
$28.99 on Microsoft's Application Store
(Per User)
$0.20/hour. on AWS's Marketplace (Unlimited Number of Users)
Free Version Supported
Free Trial Supported
PySpark:

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
SparkGrid:

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
PySpark:

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported
SparkGrid:

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Supported
PySpark:

Company Information

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

Company Information

Sparksoft Corporation
United States
sparksoftlabs.com/sparkgrid
PySpark:

Alternatives

SparkGrid:

Alternatives

Snowflake

Snowflake

4.8 out of 5 stars
PySpark:
SparkGrid:
Snowflake CoCo

Snowflake CoCo

Snowflake
PySpark:
SparkGrid:
PySpark:
Apache Spark

Apache Spark

Apache Software Foundation
SparkGrid:
Prophecy

Prophecy

Prophecy.ai
PySpark:
Spark Streaming

Spark Streaming

Apache Software Foundation
SparkGrid:
PySpark:

Categories

SparkGrid:

Categories

Data Preparation Supported
SparkGrid:

Data Preparation Features

Collaboration Tools Not Supported
Data Access Not Supported
Data Blending Not Supported
Data Cleansing Supported
Data Governance Not Supported
Data Mashup Not Supported
Data Modeling Not Supported
Data Transformation Supported
Machine Learning Not Supported
Visual User Interface Supported
PySpark:

Integrations

Amazon SageMaker Data Wrangler Supported
Apache Spark Supported
Comet LLM Supported
Feast Supported
Fosfor Decision Cloud Supported
MariaDB Not Supported
MySQL Not Supported
PostgreSQL Not Supported
SQL Server Not Supported
Snowflake Not Supported
Tecton Supported
Union Pandera Supported
SparkGrid:

Integrations

Amazon SageMaker Data Wrangler Not Supported
Apache Spark Not Supported
Comet LLM Not Supported
Feast Not Supported
Fosfor Decision Cloud Not Supported
MariaDB Supported
MySQL Supported
PostgreSQL Supported
SQL Server Supported
Snowflake Supported
Tecton Not Supported
Union Pandera Not Supported
PySpark:
Claim PySpark and update features and information
Claim PySpark and update features and information
SparkGrid:
Claim SparkGrid and update features and information
Claim SparkGrid and update features and information