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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.

What is Data Bridge?

Brave River's ETL solution, referred to as Data Bridge, allows users to extract data from diverse sources and then reformat and process it before transferring it to a specified destination file. This multi-step methodology utilized by Data Bridge significantly mitigates the financial burdens and errors commonly associated with manual data input. In contrast to typical ETL tools that simply collect, format, and transmit data, Data Bridge elevates the process by allowing users to manipulate and preserve data, performing numerous transactions prior to the final loading phase. With the ability to apply a limitless variety of transformation stages, users can ensure that their data remains impeccably formatted throughout the entire ETL process. This robust functionality not only simplifies data management but also enhances overall efficiency when dealing with extensive datasets, making it an invaluable asset for organizations looking to optimize their data workflows. Furthermore, the versatility of Data Bridge empowers users to adapt their data handling approach to meet specific business needs effectively.

Media

Media

Integrations Supported

Amazon Redshift
Apache Hive
Appfigures
Automation Anywhere
Azure Cosmos DB
Azure Data Lake
CData Connect
Cherwell Software
Exasol
Hadoop
Kyligence
MariaDB
Microsoft SharePoint
Quickbase
SAP HANA
Shortcuts Software
Smartsheet
Twilio
Vena

Integrations Supported

Amazon Redshift
Apache Hive
Appfigures
Automation Anywhere
Azure Cosmos DB
Azure Data Lake
CData Connect
Cherwell Software
Exasol
Hadoop
Kyligence
MariaDB
Microsoft SharePoint
Quickbase
SAP HANA
Shortcuts Software
Smartsheet
Twilio
Vena

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

Microsoft

Date Founded

1975

Company Location

United States

Company Website

powerquery.microsoft.com/en-us/

Company Facts

Organization Name

Brave River Solutions

Date Founded

1999

Company Location

United States

Company Website

www.braveriver.com/blog/data-bridge-custom-etl-software/

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

Categories and Features

ETL

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

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