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Description
AWS Glue is a fully managed data integration solution that simplifies the process of discovering, preparing, and merging data for purposes such as analytics, machine learning, and application development. By offering all the necessary tools for data integration, AWS Glue enables users to begin analyzing their data and leveraging it for insights within minutes rather than taking months. The concept of data integration encompasses various activities like identifying and extracting data from multiple sources, enhancing, cleaning, normalizing, and consolidating that data, as well as organizing and loading it into databases, data warehouses, and data lakes. Different users, each utilizing various tools, often manage these tasks. Operating within a serverless environment, AWS Glue eliminates the need for infrastructure management, automatically provisioning, configuring, and scaling the resources essential for executing data integration jobs. This efficiency allows organizations to focus more on data-driven decision-making without the overhead of manual resource management.
Description
Datplan DataPull helps accountants, bookkeepers and finance teams prepare repeatable reports from supported Xero, QuickBooks Online, TallyPrime and HubSpot data. Extraction and transformation run in the customer’s Windows environment; Companies House discovery is also available.
Use the prepared CSV/JSON tables in Excel or BI tools, create desktop dashboards, or open Datplan’s ready-made companion browser reports. Accountants can package setup, recurring reporting updates and optional reviews as Dashboard as a Service, with their own service fees.
Completed reports can stay local or be shared through an authorised OneDrive or SharePoint folder. Microsoft folder permissions control access. Reports reflect the latest completed refresh; each company and source remains separate. Scheduled updates and Audit Analytics depend on source and plan support. The Windows PC and source must be available for acquisition.
The Windows app and demo data are free. Live-source access requires a paid plan; provider licences, limits and external BI tools have separate requirements. Datplan’s online services support account and source-plan controls; it does not operate a business-data warehouse for these reporting datasets.
API Access
Has API
No
API Access
Has API
No
Integrations
Amazon Aurora
Yes
Amazon DataZone
Yes
Amazon Redshift
Yes
Amazon S3 Express One Zone
Yes
Amazon SageMaker Unified Studio
Yes
Amazon Security Lake
Yes
Amundsen
Yes
FairCom DB
Yes
FairCom EDGE
Yes
Feroot
Yes
Integrations
Amazon Aurora
No
Amazon DataZone
No
Amazon Redshift
No
Amazon S3 Express One Zone
No
Amazon SageMaker Unified Studio
No
Amazon Security Lake
No
Amundsen
No
FairCom DB
No
FairCom EDGE
No
Feroot
No
Pricing Details
No price information available.
Free Trial
Yes
Free Version
No
Pricing Details
Free demo; paid source plans
The Windows app and included demo data are free. A paid source plan is required to connect live business data. Price, currency, billing period, allowance and scheduling depend on the source and plan. Compare current source plans on the Datplan website. Provider licences and limits still apply.
Free Trial
No
Free Version
Yes
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
No
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
Yes
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
Yes
Live Training (Online)
Yes
In Person
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
Amazon
Founded
1994
Country
United States
Website
aws.amazon.com/glue/
Vendor Details
Company Name
Datplan
Founded
2017
Website
www.datplan.com
Product Features
Data Discovery
Contextual Search
No
Data Classification
No
Data Matching
No
False Positives Reduction
No
Self Service Data Preparation
No
Sensitive Data Identification
No
Visual Analytics
No
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
Yes
Data Filtering
Yes
Data Quality Control
Yes
Job Scheduling
No
Match & Merge
Yes
Metadata Management
Yes
Non-Relational Transformations
Yes
Version Control
Yes