Cloud-Native Data Cloud for Unlimited Scale
Snowflake’s Data Cloud combined with AMSYS’s migration, optimization, and governance expertise delivers seamless performance, near-zero maintenance, and secure data sharing across your enterprise.
What is Snowflake Data Cloud?
Snowflake is a cloud-built data platform unifying data warehousing, data lakes, data engineering, data science, and secure data sharing. AMSYS architects and implements Snowflake solutions to unlock real-time insights at any scale.
Break through scale, complexity, and collaboration barriers.
Traditional warehouses can’t keep up with variable workloads—Snowflake scales instantly to meet demand.
Patch cycles and tuning consume resources—Snowflake’s SaaS model eliminates infrastructure management.
Disparate systems hinder collaboration—Snowflake’s universal platform unifies data across teams and clouds.
Multiple teams compete for resources—Snowflake’s multi-cluster architecture ensures guaranteed concurrency.
Enterprise-grade capabilities for modern analytics.
Separates storage and compute for unlimited concurrency without contention.
Instantly clone data and access historical versions without additional storage costs.
Share live data across accounts and clouds without data movement, with governance controls.
Compute scales up or down automatically based on workload, minimizing spend.
Access third-party data sets and exchange data securely through Snowflake Marketplace.
Drive faster insights, lower costs, and improve collaboration.
Proven methodology to implement and optimize your Data Cloud.
Evaluate legacy systems and design a phased migration strategy aligned with business goals.
Automate data and workload migration with minimal downtime and thorough validation.
Build secure, multi-region Snowflake accounts with best-practice network and security configurations.
Optimize clustering keys, query acceleration, and resource auto-scaling to meet SLAs.
24/7 AMSYS monitoring, expert support, and hands-on training to empower your teams.
Guidelines to maximize performance, security, and cost efficiency.
Design micro-partitions and cluster keys based on query patterns to reduce I/O.
Set up credit usage alerts and auto suspend policies to control costs.
Use star schemas and semi-structured variants (VARIANT) for efficient storage and querying.
Implement RBAC, network policies, and encryption with Customer-Managed Keys.
Leverage Snowflake’s Information Schema and AMSYS dashboards for proactive insights.
Powerful analytics with serverless, on-demand compute.
Securely exchange live data with partners and teams.
Share governed data sets across accounts without copying data.
Provision controlled, read-only access for external stakeholders.
Share data seamlessly across AWS, Azure, and GCP regions.
Publish and subscribe to third-party data sets in a secure catalog.
Enforce dynamic data masking and access controls on shares.
Innovative features to optimize performance and protect data.
Automatic multi-cluster scaling ensures consistent performance under load.
Encrypt data in transit and at rest by default or with customer-managed keys.
Restrict access using IP whitelisting, private connectivity, and firewall rules.
Ensure data integrity, lineage, and regulatory adherence.
Access History & Auditing
Track all data interactions and changes for audit readiness.
Dynamic Data Masking
Apply masks at query time to protect sensitive attributes.
Row Access Policies
Enforce context-based row-level security per user or group.
Tag-Based Policies
Use tags to classify data and automate policy enforcement.
Regulatory Compliance
Meet GDPR, HIPAA, PCI DSS, and other industry requirements.
