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Average Ratings 0 Ratings
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
No
API Access
Has API
No
Screenshots View All
No images available
Integrations
Apache Spark
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
$97/month
Free Trial
Yes
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)
No
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
Yes
Online Support
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
Yes
In Person
No
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
No
For Healthcare
No
For Sales
No
For eCommerce
No
Image Recognition
No
Machine Learning
No
Multi-Language
No
Natural Language Processing
No
Predictive Analytics
No
Process/Workflow Automation
No
Rules-Based Automation
No
Virtual Personal Assistant (VPA)
No