Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Acquiring code skills shouldn't hinder your ability to access essential information. Datawisp simplifies this process by utilizing visual blocks instead of code: just select a data source, make your transformations, and choose the desired output format. With our intuitive visual query builder, you can effortlessly manage one or multiple datasets and display the outcomes as either charts or tables. Beyond the no-code query options, Datawisp is equipped with an array of features designed to enhance your team's data handling capabilities and propel your business toward success. Collaboration is made seamless with Datawisp sheets, which are easily shareable, allowing for real-time teamwork. Additionally, our API provides the flexibility to fetch analyses from third-party services and applications, enabling you to create in-game leaderboards, export wallet addresses for whitelists, and much more, ultimately expanding the possibilities for your projects.
Description
Power Query provides a user-friendly solution for connecting, extracting, transforming, and loading data from a variety of sources. Acting as a robust engine for data preparation and transformation, Power Query features a graphical interface that simplifies the data retrieval process and includes a Power Query Editor for implementing necessary changes. The versatility of the engine allows it to be integrated across numerous products and services, meaning the storage location of the data is determined by the specific application of Power Query. This tool enables users to efficiently carry out the extract, transform, and load (ETL) processes for their data needs. With Microsoft’s Data Connectivity and Data Preparation technology, users can easily access and manipulate data from hundreds of sources in a straightforward, no-code environment. Power Query is equipped with support for a multitude of data sources through built-in connectors, generic interfaces like REST APIs, ODBC, OLE, DB, and OData, and even offers a Power Query SDK for creating custom connectors tailored to individual requirements. This flexibility makes Power Query an indispensable asset for data professionals seeking to streamline their workflows.
API Access
Has API
Yes
API Access
Has API
Yes
Integrations
Adobe Marketo Engage
No
Amazon Redshift
No
Apache Hive
No
Cherwell Software
No
Dremio
No
Hadoop
No
InterSystems IRIS
No
Kyligence
No
Microsoft Intune
No
Microsoft Power Automate
No
Integrations
Adobe Marketo Engage
Yes
Amazon Redshift
Yes
Apache Hive
Yes
Cherwell Software
Yes
Dremio
Yes
Hadoop
Yes
InterSystems IRIS
Yes
Kyligence
Yes
Microsoft Intune
Yes
Microsoft Power Automate
Yes
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
Mac
Yes
Linux
No
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
No
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
Datawisp
Founded
2018
Country
United States
Website
www.datawisp.io
Vendor Details
Company Name
Microsoft
Founded
1975
Country
United States
Website
powerquery.microsoft.com/en-us/
Product Features
Data Management
Customer Data
No
Data Analysis
No
Data Capture
No
Data Integration
No
Data Migration
No
Data Quality Control
No
Data Security
No
Information Governance
No
Master Data Management
No
Match & Merge
No
ETL
Data Analysis
No
Data Filtering
No
Data Quality Control
No
Job Scheduling
No
Match & Merge
No
Metadata Management
No
Non-Relational Transformations
No
Version Control
No
Product Features
Data Preparation
Collaboration Tools
No
Data Access
No
Data Blending
No
Data Cleansing
No
Data Governance
No
Data Mashup
No
Data Modeling
No
Data Transformation
No
Machine Learning
No
Visual User Interface
No
ETL
Data Analysis
No
Data Filtering
No
Data Quality Control
No
Job Scheduling
No
Match & Merge
No
Metadata Management
No
Non-Relational Transformations
No
Version Control
No