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What is ZAP Data Hub?

Month-end close should not depend on exporting from your accounting system into spreadsheets and reconciling by hand. Zap Data Hub removes that work. It maintains a governed warehouse behind your finance system automatically, so teams report from one agreed set of numbers instead of arguing over whose workbook is correct. People keep working where they already are: Excel, Power BI, or a browser. Models arrive pre-built for each supported system, so most customers are reporting within days rather than the months a warehouse project usually takes. Consolidation across companies and currencies happens at transaction level, even where entities run different software. Supports Sage, SAP Business One, Syspro, Microsoft Dynamics and Xero. Cloud-only, fully managed, and certified to ISO/IEC 27001:2022.

What is Amazon SageMaker?

Amazon SageMaker is a robust platform designed to help developers efficiently build, train, and deploy machine learning models. It unites a wide range of tools in a single, integrated environment that accelerates the creation and deployment of both traditional machine learning models and generative AI applications. SageMaker enables seamless data access from diverse sources like Amazon S3 data lakes, Redshift data warehouses, and third-party databases, while offering secure, real-time data processing. The platform provides specialized features for AI use cases, including generative AI, and tools for model training, fine-tuning, and deployment at scale. It also supports enterprise-level security with fine-grained access controls, ensuring compliance and transparency throughout the AI lifecycle. By offering a unified studio for collaboration, SageMaker improves teamwork and productivity. Its comprehensive approach to governance, data management, and model monitoring gives users full confidence in their AI projects.

Media

Media

Integrations Supported

Adobe Marketo Engage

Integrations Supported

Acryl Data
Amazon EC2 G5 Instances
Amazon EC2 P4 Instances
Amazon SageMaker Edge
Amazon SageMaker JumpStart
Amazon SageMaker Model Building
Amazon SageMaker Model Training
Comet LLM
DataOps.live
Dataiku
Deepchecks
LiteLLM
ModelOp
NVIDIA Triton Inference Server
OpenMetadata
PromptX
Protegrity
Weaviate
Wizata

API Availability

API Availability

Has API

Pricing Information

Pricing not provided

Pricing Information

Try free for two months
Free Trial Offered?

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Not specified

Training Options

Online Training

Company Facts

Organization Name

Zap

Date Founded

2001

Company Location

Australia

Company Website

www.zapbi.com

Company Facts

Organization Name

Amazon

Date Founded

1994

Company Location

United States

Company Website

aws.amazon.com/sagemaker/

Categories and Features

Business Intelligence

Ad Hoc Reports
Dashboard
Data Analysis
Key Performance Indicators
Performance Metrics
Predictive Analytics
Profitability Analysis
Trend / Problem Indicators
Visual Analytics

Data Integration

Not specified

Categories and Features

Agentic AI

Not specified

AI Development

Not specified

AI Fine-Tuning

Not specified

AI Governance

Not specified

AI Infrastructure

Not specified

AI Tools

Not specified

AI/ML Model Training

Not specified

Data Catalog

Not specified

Data Governance

Not specified

Data Labeling

Human-in-the-loop
Labeling Automation
Labeling Quality
Performance Tracking
Polygon, Rectangle, Line, Point
SDK
Supports Audio Files
Task Management
Team Collaboration
Training Data Management

Machine Learning

Not specified

ML Model Deployment

Not specified

ML Model Management

Not specified

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