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Average Ratings 0 Ratings
Description
Datplan DataPull is a privacy-conscious application designed for Windows that facilitates data integration and reporting specifically tailored for accountants, finance professionals, and consultants. It establishes connections to authorized data from QuickBooks Online, Xero, HubSpot, and Companies House, enabling users to download relevant records directly into their local Windows reporting setups. The application systematically organizes data into structured fact-and-dimension tables, offers drag-and-drop dashboards, and allows for exports in CSV and JSON formats, alongside providing reconciliation details and BI setup files compatible with Power BI, Excel, Tableau, and Qlik. Furthermore, it accommodates both full and incremental synchronization options and includes scheduled refresh capabilities for supported plans. Unlike many alternatives, Datplan ensures that source datasets remain stored locally instead of relying on a cloud-based analytics warehouse managed by Datplan. The Windows application is available for free with demo data, while access to live-source connections requires a paid subscription. This approach not only prioritizes user privacy but also enhances the overall data handling experience for professionals.
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
No
API Access
Has API
Yes
Screenshots View All
No images available
Integrations
QuickBooks Online
Yes
Acterys
No
Active Directory
No
Amazon Redshift
No
Asana
No
Cherwell Software
No
FactSet
No
Google Cloud Platform
No
IBM Informix
No
MarkLogic
No
Integrations
QuickBooks Online
Yes
Acterys
Yes
Active Directory
Yes
Amazon Redshift
Yes
Asana
Yes
Cherwell Software
Yes
FactSet
Yes
Google Cloud Platform
Yes
IBM Informix
Yes
MarkLogic
Yes
Pricing Details
$7
Free Trial
Yes
Free Version
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Deployment
Web-Based
No
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
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
Yes
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
Datplan
Founded
2017
Website
www.datplan.com
Vendor Details
Company Name
Microsoft
Founded
1975
Country
United States
Website
powerquery.microsoft.com/en-us/
Product Features
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