RESOURCES

Resources

Everything you need to get started with Datally

DEMO DATASETS

Sample Datasets

Download realistic datasets to test Datally's data consolidation, mapping, and validation capabilities. Each includes multiple source files, a reference dictionary, and intentional data quality issues.

Residential Loan Tape

Finance

Multi-servicer mortgage data from 5 different origination and servicing platforms

What's Included

100 loans across 5 servicer platforms
Full coverage — every target field mappable from a source
Realistic naming variations across sources
Different date, rate, and LTV formats
Reference dictionary with 30 standardized fields
Value translation examples (codes, enums)
Sources: Credit Union, Rocket Mortgage, Wells Fargo, Mr. Cooper, Legacy System

Insurance Claims Bordereau

Insurance

Multi-source claims data from email submissions, adjuster tracking, and inspection vendors

What's Included

15 claims across 3 source systems
Different status codes (Open vs Active vs OPEN)
Inconsistent date formats and currency formatting
Loss type abbreviations vs full text
Sources: Email Submissions, Adjuster Tracking System, Inspection Vendor Data

E-Commerce Orders Dataset

Retail

Multi-channel order data from Shopify, Amazon, and WooCommerce

What's Included

35 orders across 3 sales channels
Shopify, Amazon, WooCommerce exports
Reference dictionary schema
15+ data quality issues
Different column naming patterns
Value translation examples

Perfect For Learning

  • AI-powered column mapping across different schemas
  • Value translation (order statuses, payment methods)
  • Data validation (email formats, date plausibility)
  • Multi-source data consolidation

HR Payroll Dataset

HR / Payroll

Multi-source employee and payroll data from different HR systems

What's Included

ADP Workforce Data

Employee records from ADP system

BambooHR Employees

HR data from BambooHR platform

Paychex Roster

Payroll data from Paychex

Workday Export Dictionary

Reference schema from Workday

Perfect for Testing

  • Multi-source data consolidation
  • Column mapping across different schemas
  • Data validation and quality checks
  • Handling inconsistent formats and naming conventions

LOCAL AI

Local AI Setup with Ollama

Datally runs AI models locally on your machine for complete privacy and data security. All processing happens on your hardware -- your data never leaves your machine.

Works on All Hardware

With GPU (4GB+ VRAM): Full AI features including LLM models
CPU-Only: Embedding models for intelligent mapping

STEP 1

Install Ollama (Windows)

Ollama is free and open source. Run powerful AI models locally with complete privacy.

Recommended: Windows Package Manager

winget install --id=Ollama.Ollama -e

Alternative: Manual Download

Download Ollama for Windows

After installation, Ollama runs automatically as a background service on port 11434

STEP 2

Download Recommended Models

For Systems with GPU (8GB+ VRAM)

Language Models

gemma4:27bBest Overall

Google Gemma 4 -- Frontier-level reasoning and structured output. Excellent for data validation and mapping tasks.

ollama pull gemma4:27b
qwen3.5:27bHigh Quality

Alibaba Qwen 3.5 -- Strong alternative with excellent structured output and multilingual support

ollama pull qwen3.5:27b
granite3.3:8bFast & Light

IBM Granite 3.3 -- Fastest option, runs well on 8GB VRAM

ollama pull granite3.3:8b
qwen3.5:4bBudget GPU

Qwen 3.5 4B -- Good quality on 4-6GB VRAM cards

ollama pull qwen3.5:4b

Embedding Models

qwen3-embedding:8bBest

Alibaba Qwen3 -- Top-ranked on MTEB leaderboard for semantic similarity

ollama pull qwen3-embedding:8b
nomic-embed-text-v2-moeMultilingual

Nomic MoE -- Excellent multilingual retrieval and semantic matching

ollama pull nomic-embed-text-v2-moe

For CPU-Only / Integrated GPU Systems

Even without a GPU, you can run embedding models locally for AI-powered column mapping.

granite-embedding:30mFastest

IBM Granite - Optimized for CPU inference

ollama pull granite-embedding:30m
granite-embedding:278mBetter Quality

IBM Granite 278M - Better quality with 12+ language support

ollama pull granite-embedding:278m

STEP 3

Verify Installation

Check installed models: ollama list
Test a model: ollama run gemma4:27b "Hello"
Launch Datally and configure AI models in Settings

SUPPORT

Documentation & Support

Guides and resources to help you get the most out of Datally.

Getting Started Guide

Learn how to use Datally with step-by-step tutorials and best practices.

Coming soon

Technical Support

Need help? Our support team is here to assist you.

GET STARTED

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Join our Community Program and shape the future of data consolidation