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Description
Deequ is an innovative library that extends Apache Spark to create "unit tests for data," aiming to assess the quality of extensive datasets. We welcome any feedback and contributions from users. The library requires Java 8 for operation. It is important to note that Deequ version 2.x is compatible exclusively with Spark 3.1, and the two are interdependent. For those using earlier versions of Spark, the Deequ 1.x version should be utilized, which is maintained in the legacy-spark-3.0 branch. Additionally, we offer legacy releases that work with Apache Spark versions ranging from 2.2.x to 3.0.x. The Spark releases 2.2.x and 2.3.x are built on Scala 2.11, while the 2.4.x, 3.0.x, and 3.1.x releases require Scala 2.12. The primary goal of Deequ is to perform "unit-testing" on data to identify potential issues early on, ensuring that errors are caught before the data reaches consuming systems or machine learning models. In the sections that follow, we will provide a simple example to demonstrate the fundamental functionalities of our library, highlighting its ease of use and effectiveness in maintaining data integrity.
Description
S.C.A.L.A. serves as an all-in-one AI operating system designed for enterprises, integrating customer relationship management, business intelligence, scheduling, WhatsApp automation, and AI agents tailored for service-oriented sectors.
Notable features include:
- A suite of over 20 autonomous AI agents utilizing more than 30 MCP tool handlers actively in use
- SARA, an AI-driven WhatsApp assistant that manages customer interactions around the clock in six languages, boasting response times under 800 milliseconds
- Ready-made vertical dashboards catering to 20 different industries such as hospitality, restaurants, real estate, healthcare, beauty, automotive, and legal services
- A collection of 131 complimentary business tools aimed at enhancing SEO, finance, and operational efficiency
- The SCALA Score, a comprehensive B2B intelligence database containing over 252 million company records sourced from more than 40 government registries
- Multi-model AI routing capabilities incorporating Claude, Mistral, and Gemini technologies to avoid dependency on a single vendor
- Fully compliant with GDPR regulations and based in Milan, Italy
- SARA is available as open source under the AGPL-3.0 license.
For pricing, S.C.A.L.A. offers a 14-day free trial, followed by subscription options priced at EUR 97 per month for the Growth plan or EUR 197 per month for the Scale plan, making it accessible for various business needs and sizes.
API Access
Has API
API Access
Has API
Screenshots View All
No images available
Integrations
Apache Spark
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
$97/month
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Deequ
Website
github.com/awslabs/deequ
Vendor Details
Company Name
Binda Alessandro
Founded
2025
Country
Italy
Website
get-scala.com
Product Features
Product Features
Artificial Intelligence
Chatbot
For Healthcare
For Sales
For eCommerce
Image Recognition
Machine Learning
Multi-Language
Natural Language Processing
Predictive Analytics
Process/Workflow Automation
Rules-Based Automation
Virtual Personal Assistant (VPA)