Platform Engineering

More and more organisations are embarking on a cloud journey attracted by the versatility and savings of adopting more modern, scalable and reliable solutions. In this context, we are witnessing the adoption of different strategies: some embrace the offerings of a single cloud provider, others use the services of several cloud providers for various reasons, creating multi-cloud architectures, others maintain part of their on-premise infrastructure to create hybrid environments, and finally others choose SaaS solutions.

Quantyca is one of Snowflake’s first Italian partners and resellers, and in recent years has greatly increased its experience thanks to the planning and various certifications obtained by its employees.


Quantyca supports its customers in digital transformation processes by helping them in the design, implementation and evolutionary management of modern data platforms.

As a Certified Select Partner, we have been able to work together with Snowflake by implementing various solutions for our customers in different sectors such as retail, utilities, industrial, insurance and finance.

We are resellers of the Snowflake platform and offer the following consulting services

  • start-up of new projects
  • assessment of existing solutions
  • design and implementation of data warehousing and datalogging solutions
  • remote or in-house training
Quantica has been a Snowflake partner since 2018, one of the first in Italy.

Snowflake Data Platform

Snowflake is a complete cloud data platform with which very different use cases can be implemented, from data warehouse to lakehouse construction, from streaming ingestion to semi-structured data support.

Its multi-cluster shared-data architecture allows it to scale storage and computing power independently, thus offering significant savings compared to traditional un-prem solutions.

Snowflake is offered as a fully-managed service, so users are exempted from management efforts.

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The multi-cluster shared-data architecture of Snowflake is a hybrid of the architectures used in traditional databases. As in shared-disk architectures, Snowflake uses a central repository for data, accessible to all compute nodes of the platform. Similar to shared-nothing architectures, Snowflake exploits clusters of MPP nodes in which each node stores a portion of the data locally.

This approach provides the simplified data management of shared-disk architectures and at the same time the performance and scaling capabilities of shared-nothing architectures. The ecosystem is organised on three logical layers that interact with each other:

Data transferred to Snowflake are automatically reorganised with its internal columnar format. Snowflake is responsible for their organisation and optimisation.

Calculations are performed through Virtual Warehouses, independent and dynamic computing clusters. Virtual Warehouses can be automatically or programmatically switched on/off or resized on the fly.

Features that coordinate the various components and take care of aspects such as authentication and authorisation, infrastructure management, metadata management and query optimisation

Why Snowflake

The cloud data warehouse market is very competitive and each cloud provider offers its own product. Snowflake has changed the rules of the game: it is a cloud-native platform that is not derived from the adaptation of an on-premise or pre-existing solution. Moreover, it is a fully managed ecosystem and does not lock in the use of a specific cloud provider.

Among the main reasons for its success:

  • Platform capable of supporting different types of use cases: Data Engineering, Data Lake, Data
  • Warehouse, Data Science, Data Applications, Data Sharing
  • Fully managed service with pay-as-you-go pricing model
  • Decoupling of storage and computation with infinite scaling capability (vertical for performance and horizontal for concurrency)
  • ANSI SQL compliance with support for analytical functions and automatic query optimisation
  • Support for structured and semi-structured data (Parquet, CSV, JSON, AVRO, XML, ORC, ..)
  • Ability to replicate data between multiple cloud providers with automatic compression and encryption
  • Hierarchical encryption model to ensure security and compliance with HIPAA, GDPR, and PCI-DSS regulations
  • SSO-based authentication (AD, OKTA, SAML) and Multi-Factor Authentication
  • Extensive list of technology partners to support various types of use cases and integration/access modes
Snowflake: cloud data platform completa
Near-zero maintenance
DBAs can concentrate on high-value activities, leaving storage allocation, capacity planning, resource scaling, encryption, upgrades and backups to Snowflake
Flexibility and pay-per-use
Per-second usage-based independent pricing for computation and storage, which combined with auto-scaling, auto-suspend and auto-resume features allows big savings
Snowflake accounts can select a cloud provider from AWS, GCP or Azure. The data replication functionality works cross-account and thus across multiple cloud providers
Object-level access control, column-level security e row-access policies, secure views & UDFs, object tagging, time-travel
Automatic data encryption, TLS-only communications, fail-safe, authentication (multi-factor auth, SSO and OAuth), RBAC
Data sharing
Share: combination of databases, schemas, tables. Division of costs and responsibilities between Providers and Consumers. Reader Account for external users

Success stories

Use Cases

Onsite Event
Quantyca at Snowflake Data for Breakfast 2023
Date and Time: 23/03/2023

Quantyca is participating as a sponsor in the Data for Breakfast Milan 2023 event, the Snowflake event dedicated to the power of the Data Cloud platform.

Video Talk
MLOps with the autopilot 2021
Date and Time: 24/09/2021

Creating Machine Learning (ML) pipelines can often be complicated because of the tools and in-depth technical knowledge needed to create and deploy the right prediction models. AutoML systems provide a...

Video Talk
Snowflake, una Data Platform coi fiocchi 2020
Date and Time: 13/03/2020

Quantyca, a technology consulting company specialized in Data Management and a partner of Snowflake, has discussed the main challenges in today’s market and the competitive advantages of using Snowflake. This...



MLOps con il pilota automatico – Quantyca, AWS & Snowflake


Snowflake: una Data Platform coi fiocchi! – Slide Deck


Selex – Retail Analytics in Cloud con Snowflake

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