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Average Ratings 0 Ratings

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ease
features
design
support

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Write a Review

Description

Amazon SageMaker equips users with an extensive suite of tools and libraries essential for developing machine learning models, emphasizing an iterative approach to experimenting with various algorithms and assessing their performance to identify the optimal solution for specific needs. Within SageMaker, you can select from a diverse range of algorithms, including more than 15 that are specifically designed and enhanced for the platform, as well as access over 150 pre-existing models from well-known model repositories with just a few clicks. Additionally, SageMaker includes a wide array of model-building resources, such as Amazon SageMaker Studio Notebooks and RStudio, which allow you to execute machine learning models on a smaller scale to evaluate outcomes and generate performance reports, facilitating the creation of high-quality prototypes. The integration of Amazon SageMaker Studio Notebooks accelerates the model development process and fosters collaboration among team members. These notebooks offer one-click access to Jupyter environments, enabling you to begin working almost immediately, and they also feature functionality for easy sharing of your work with others. Furthermore, the platform's overall design encourages continuous improvement and innovation in machine learning projects.

Description

Finance teams cannot trust reports built on data their BI tool never validated. Power BI and OneLake do not enforce primary keys, so duplicate records reach financial statements silently. Zap Data Hub fixes that at the warehouse layer. It runs on Azure SQL, an ACID-compliant engine with enforced keys, and generates a star schema tuned for accounting structures. Delta processing applies only changed rows instead of reloading whole tables, which cuts both refresh windows and compute spend. A governed semantic layer keeps every consuming tool reading identical definitions. Sources covered: Sage X3, 100, 300 and Intacct; SAP Business One; Syspro; Dynamics 365 Business Central and Finance & Operations; Dynamics AX and NAV; Wiise; Xero. REST connectors reach further systems. Shipped as a fully managed cloud service on Microsoft Azure, certified to ISO/IEC 27001:2022.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Adobe Marketo Engage No 
Amazon SageMaker Yes 
Amazon Web Services (AWS) Yes 
GitHub Yes 
Google Analytics No 
Google Cloud AutoML Yes 
MXNet Yes 
Microsoft Excel No 
Microsoft Power BI No 
NetSuite No 
PyTorch Yes 
R Yes 
R Markdown Yes 
Sage 500 No 
StackHawk No 
Tableau No 
TensorFlow Yes 
Xero No 
Zendesk No 

Integrations

Adobe Marketo Engage Yes 
Amazon SageMaker No 
Amazon Web Services (AWS) No 
GitHub No 
Google Analytics Yes 
Google Cloud AutoML No 
MXNet No 
Microsoft Excel Yes 
Microsoft Power BI Yes 
NetSuite Yes 
PyTorch No 
R No 
R Markdown No 
Sage 500 Yes 
StackHawk Yes 
Tableau Yes 
TensorFlow No 
Xero Yes 
Zendesk 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 No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) Yes 
Online Support Yes 

Customer Support

Business Hours Yes 
Live Rep (24/7) Yes 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs No 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

Amazon

Founded

1994

Country

United States

Website

aws.amazon.com/sagemaker/build/

Vendor Details

Company Name

Zap

Founded

2001

Country

Australia

Website

www.zapbi.com

Product Features

Machine Learning

Deep Learning No 
ML Algorithm Library No 
Model Training No 
Natural Language Processing (NLP) No 
Predictive Modeling No 
Statistical / Mathematical Tools No 
Templates No 
Visualization No 

Product Features

Business Intelligence

Ad Hoc Reports Yes 
Benchmarking No 
Budgeting & Forecasting No 
Dashboard Yes 
Data Analysis Yes 
Key Performance Indicators Yes 
Natural Language Generation (NLG) No 
Performance Metrics Yes 
Predictive Analytics Yes 
Profitability Analysis Yes 
Strategic Planning No 
Trend / Problem Indicators Yes 
Visual Analytics Yes 

Alternatives

Alternatives