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What is QueryStorm?

Harness the power of SQL, C#, and VB.NET directly in Excel to transform data, create distinctive functions, and optimize workbook automation. With an integrated development environment like QueryStorm, you benefit from features such as code completion, syntax highlighting, and error corrections, which simplify the coding process remarkably. Sharing your custom functions and automated spreadsheets with clients and colleagues becomes seamless, as they only need the QueryStorm Runtime to utilize them. By enabling yourself to design tailored Excel functions using SQL, C#, or VB.NET, you can use these tools for personal projects or share them with peers. This approach allows for the incorporation of complex business logic into your spreadsheets, significantly improving their interactivity through the use of .NET and SQL coding. In addition, you can take full advantage of personalized workbooks and innovative functions developed by your team, along with valuable Excel extensions provided by the wider community. Utilize your technical skills within Excel to adeptly manage data, construct intelligent workbooks, and collaborate by distributing custom functions to others. This strategy not only boosts productivity but also cultivates a more streamlined workflow across all your projects, ultimately leading to enhanced efficiency and collaboration. Embracing these tools can revolutionize the way you work with Excel, making it a powerful ally in your data management endeavors.

What is Google Cloud Datalab?

Cloud Datalab serves as an intuitive interactive platform tailored for data exploration, analysis, visualization, and machine learning. This powerful tool, created for the Google Cloud Platform, empowers users to investigate, transform, and visualize their data while efficiently developing machine learning models. Utilizing Compute Engine, it seamlessly integrates with a variety of cloud services, allowing you to focus entirely on your data science initiatives without unnecessary interruptions. Constructed on the foundation of Jupyter (formerly IPython), Cloud Datalab enjoys the advantages of a dynamic ecosystem filled with modules and an extensive repository of knowledge. It facilitates the analysis of data across BigQuery, AI Platform, Compute Engine, and Cloud Storage, using Python, SQL, and JavaScript for user-defined functions in BigQuery. Whether your data is in the megabytes or terabytes, Cloud Datalab is adept at addressing your requirements. You can easily execute queries on vast datasets in BigQuery, analyze local samples of data, and run training jobs on large datasets within the AI Platform without any hindrances. This remarkable flexibility makes Cloud Datalab an indispensable tool for data scientists who seek to optimize their workflows and boost their productivity, ultimately leading to more insightful data-driven decisions.

Media

Media

Integrations Supported

DataLab
Google Cloud Platform
Google Workspace
Jupyter Notebook

Integrations Supported

DataLab
Google Cloud Platform
Google Workspace
Jupyter Notebook

API Availability

Has API

API Availability

Has API

Pricing Information

$5 per user per month
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

Stormy Range Software

Date Founded

2016

Company Location

Poland

Company Website

www.querystorm.com

Company Facts

Organization Name

Google

Date Founded

1998

Company Location

United States

Company Website

cloud.google.com/datalab

Categories and Features

Data Analysis

Data Discovery
Data Visualization
High Volume Processing
Predictive Analytics
Regression Analysis
Sentiment Analysis
Statistical Modeling
Text Analytics

Categories and Features

Data Analysis

Data Discovery
Data Visualization
High Volume Processing
Predictive Analytics
Regression Analysis
Sentiment Analysis
Statistical Modeling
Text Analytics

Data Visualization

Analytics
Content Management
Dashboard Creation
Filtered Views
OLAP
Relational Display
Simulation Models
Visual Discovery

Machine Learning

Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization

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