Our Snowflake services combine platform expertise with advanced AI engineering to unify data across silos, strengthen analytics, and establish a scalable foundation for AI.
10Pearls is a strategy-first, AI-driven engineering partner offering end-to-end Snowflake capabilities to enterprises from various industries. We have extensive experience working with heavily regulated industries, harnessing Snowflake’s strengths for governance-ready AI adoptions, data-driven decision-making, and actionable analytics.
Simplify AI adoption and data-driven business transformation with enterprise-ready, mature AI capabilities including model integration and agentic deployments.
Ensure value-driven, operationally aware, and governance-embedded Snowflake adoptions with a strategy-first approach that aligns with your business goals.
Our Snowflake services are rooted in extensive regulated industry experience, governance capabilities, and deep understanding of privacy directives like GDPR, HIPAA and GLBA.
Our Snowflake cloud services are complemented by deep experience across AWS, Azure, and GCP, leading to comprehensive and performance-optimized Snowflake adoptions.
Our combined cloud and legacy architecture expertise lets us conduct frictionless and non-disruptive migrations, unlocking the full potential of siloed and fragmented data.
We maximize the operational, analytical, and transformative impact of Snowflake for your business by transforming your data and architecture for the platform.
Develop business-aligned AI strategies and leverage Snowflake ML and Cortex for a secure and compliant integration of AI and ML capabilities into your workflows.
Unlock the combined data,
performance, scalability, and
governance benefits of cloud and
Snowflake with our Snowflake
consulting services.
Maximize data availability for AI,
analytics, and decision-making by
ensuring a business-aligned
implementation and configuration of
Snowflake and cloud architecture.
Streamline data flow across the
organization, enhance transparency,
trust, and availability by migrating and
modernizing conventional pipelinesto
Snowflake's native infrastructure.
Transform your data and architecture for
maximum scalability, enabling AI, IoT,
and other modern capabilities with
seamless Snowflake ingestion and
processing.
Enable airtight security and compliance
by combining our expertise with
Snowflake’s built-in governance
(Horizon) and granular, discrete, and
role-based access control.
Harness the power of unified data and AI to transform your operations and decision-making frameworks.
Enable faster, more reliable analytics by structuring data into trusted layers that improve data quality, performance, and cost efficiency at scale.
Establish centralized governance that improves data security, compliance, and trust while simplifying access management across teams and clouds.
Accelerate enterprise AI adoption by deploying secure, production-ready generative AI solutions that integrate seamlessly with your data and workflows.
Improve data reliability and pipeline resilience with automated quality checks and simplified data transformations that scale effortlessly.
Deliver high-performance analytics to business users with fast, scalable SQL workloads that integrate easily with existing BI tools.

Leverage industry-leading LLMs to directly process structured or unstructured data and power intelligent agents with Cortex AI.

Streamline ML model development, training, deployment, and continuous improvement with a centralized UI, built-in compute optimization, and embedded governance.

Seamless data security and AI governance with end-to-end encryption, role and attribute-based access controls, and business continuity.

Build and deploy internal and customer-facing Snowflake-native apps with relevant connectors if needed.

Simplify end-to-end data flow across the enterprise, simplify third-party integration, and amplify interoperability with OpenFlow.

Unify your data processing and logic spread across different tech stacks, frameworks, and libraries, for enormous performance gains and robust security.

Use the consolidated development environment of Notebook and ML for seamless data transformation, workflow automation, and experimentation.






















Snowflake is a fully-managed cloud-based data platform that runs natively on AWS, Azure, and GCP. It centralizes fragmented and siloed data and establishes a robust, governance-embedded foundation for analytics, AI integration, data engineering, and collaboration. A critical differentiator of Snowflake is its separation of compute from storage, which significantly improves scalability and data processing performance.
No. Snowflake is not merely a database or an ETL tool. It’s a more comprehensive data platform that includes a database and allows for both ETL and ELT pipelines, though it’s natively configured for ELT.
Snowflake helps enterprises unify data across various organizational siloes and fragmented sources (including multiple cloud environments). This streamlines and simplifies analytics, data-driven decision-making, AI adoption, reporting, governance, and security.
We differentiate ourselves through client-first Snowflake implementations instead of platform-first. Our data engineering, legacy architecture, cloud, and AI expertise allow us to strategize and execute Snowflake adoptions for our clients’ existing digital infrastructure and future data goals. This minimizes the adoption burden and risk of operational disruption while ensuring a value-aligned implementation.
Yes. We offer a comprehensive assessment of your existing data infrastructure and cloud deployment as part of our Snowflake services. We compare them against the data goals you wish to achieve with the platform, which lets our Snowflake consultants give an accurate scope of the implementation and develop a streamlined data strategy aligned with your data realities.
No. Snowflake is a cloud-agnostic (it works with most cloud environments) data platform that runs in the cloud environment you have selected – AWS, Azure, or GCP. Certain elements of data architecture, including pipelines and databases, must be migrated to the Snowflake data layer or modernized for Snowflake-native operations, but your data resides on your selected cloud.
Yes. Snowflake’s native AI capabilities support both localized and enterprise-wide AI adoption and AI-driven transformation. As an AI-focused Snowflake partner, 10Pearls streamlines the process for your business and ensures that the adoption/transformation is secure, compliant, and value-driven.
As an ISO 27001 certified company with a governance-first approach to adoptions and implementations, 10Pearls leverages the strengths of Snowflake, its unique knowledge of security and compliance vulnerabilities in different industries, and best practices to ensure a robust security and compliance posture during and post-adoption.
Snowflake is a cloud-native platform that is not available for on-premises databases. However, 10Pearls can help you migrate to the most appropriate cloud environment for your data and operational needs, modernize your data for Snowflake, and integrate Snowflake with your existing infrastructure and operations.