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What is SQL Spreads?

SQL Spreads is an Excel Add-in designed for Microsoft Excel that empowers users without technical expertise to effortlessly update, insert, and delete data within SQL Server tables directly from Excel. The process begins with a SQL Spreads Designer, who crafts secure SQL Spreads Excel files linked to SQL Server databases. Once these files are created, they are distributed to Data Editors, responsible for managing data updates and ensuring that changes are saved back to SQL Server. This streamlined approach enhances collaboration and simplifies the data management process for teams working with SQL databases.

What is Microsoft Power Query?

Power Query offers an intuitive approach for connecting to, extracting, transforming, and loading data from various origins. Functioning as a powerful engine for data manipulation, it boasts a graphical interface that makes the data retrieval process straightforward, alongside a Power Query Editor for applying any necessary modifications. Its adaptability allows for integration across a wide array of products and services, with the data storage location being dictated by the particular application of Power Query. This tool streamlines the extract, transform, and load (ETL) processes, catering to users' diverse data requirements. With Microsoft's Data Connectivity and Data Preparation technology, accessing and managing data from hundreds of sources is made simple in a user-friendly, no-code framework. Power Query supports a wide range of data sources through built-in connectors, generic interfaces such as REST APIs, ODBC, OLE, DB, and OData, and it even provides a Power Query SDK for developing custom connectors to meet specific needs. This level of flexibility enhances Power Query's value, making it an essential resource for data professionals aiming to optimize their workflows and improve efficiency. As such, it empowers users to focus on deriving insights from their data rather than getting bogged down by the complexities of data handling.

Media

Media

Integrations Supported

Microsoft Excel
SQL Server
Acterys
Adobe Acrobat
Adobe Marketo Engage
Amazon Redshift
Appfigures
Asana
AtScale
Azure Data Lake
Azure DevOps Server
Data Virtuality
Google Analytics
Palantir Foundry
Planview ProjectPlace
Salesforce
SurveyMonkey
TeamDesk
Twilio
Zucchetti HR

Integrations Supported

Microsoft Excel
SQL Server
Acterys
Adobe Acrobat
Adobe Marketo Engage
Amazon Redshift
Appfigures
Asana
AtScale
Azure Data Lake
Azure DevOps Server
Data Virtuality
Google Analytics
Palantir Foundry
Planview ProjectPlace
Salesforce
SurveyMonkey
TeamDesk
Twilio
Zucchetti HR

API Availability

Has API

API Availability

Has API

Pricing Information

$348/Designer/year
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

SQL Spreads

Date Founded

2015

Company Location

Sweden

Company Website

sqlspreads.com

Company Facts

Organization Name

Microsoft

Date Founded

1975

Company Location

United States

Company Website

powerquery.microsoft.com/en-us/

Categories and Features

Data Entry

Abbreviation Detection
Data Capture and Transfer
Data Cleansing
Data Entry Verification
Data Search Flexibility
Duplicate Detection
Flexible Search
Image Entry
Library Conversion
Mis-Keyed Variation Detection
Phonetic Variation Detection

Categories and Features

Data Preparation

Collaboration Tools
Data Access
Data Blending
Data Cleansing
Data Governance
Data Mashup
Data Modeling
Data Transformation
Machine Learning
Visual User Interface

ETL

Data Analysis
Data Filtering
Data Quality Control
Job Scheduling
Match & Merge
Metadata Management
Non-Relational Transformations
Version Control

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