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features
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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 No 

API Access

Has API No 

Screenshots View All

Screenshots View All

No images available

Integrations

Apache Spark Yes 

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 

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