DATA-DRIVEN APPS
Building Massive Data-Driven Apps @ Cloud-Scale
Sovereign develops modern data-driven apps with unlimited and automatic scalability, concurrency and instant elasticity built in from the beginning.
Our data cloud platform was uniquely designed with a multi-cluster, shared data architecture to handle the kind of massive-scale SaaS applications we build for our clients.
BUILD MASSIVE-SCALE DATA APPLICATIONS WITHOUT OPERATIONAL BURDEN
Snowflake is a cloud data platform designed to power applications with no limitations on performance, concurrency, or scale. Trusted by fast growing software companies, Snowflake handles all the infrastructure complexity, so you can focus on innovating your own application.
HIGH PERFORMANCE AND UNLIMITED CONCURRENCY
Snowflake’s multi-cluster, shared data architecture spins up additional compute clusters to support a near-unlimited number of concurrent users on shared tables without contention for resources.
SQL FOR ALL DATA
Use ANSI SQL to query structured and semi-structured data. Ingest JSON, Avro, Parquet, and other data without transformations or having to fix the pipeline every time the schema changes.
NO SRE/DEVOPS BURDEN
Developing and scaling data applications is complex. Snowflake automatically handles provisioning, availability, tuning, data protection, and other operations across multiple clouds for you.
FEATURES
Separation of compute and storage
Snowflake separates compute and storage so you can scale each independently and cost effectively.
Auto-scaling
Snowflake automatically scales compute resources, up and down, for near-infinite concurrency without impacting performance or having to reshuffle data.
Pay for what you use
Align costs with your product margins with per-second compute pricing and avoid paying for idle resources.
Native support for semi-structured data
Ingest and immediately query JSON, Parquet, Avro, ORC, and XML without defining schemas in advance.
Cross-cloud with global replication
Deploy on any cloud and regions, with global replication for high availability, data durability, and disaster recovery.
Zero-copy cloning
Quickly create sandboxes and develop pilots with live data but without the cost of copying and moving data.
Time travel
Easily access historical data after it has been modified or deleted for periods up to 90 days.
Connectors and drivers
Integrate easily with native clients and connectors including ODBC, JDBC, Node, Python, .NET, Go, Spark, and Kafka. Drivers for PHP and Ruby coming soon.
ANSI SQL
Use SQL for all your data, structured or semi-structured, including support for joins across data types, databases and external tables.
User-defined functions
Extend Snowflake with in-engine JavaScript functions to perform custom calculations.
Continuous data pipelines
Automate the steps to transform and optimize continuous data loads with Snowpipe and third-party data tools.
Secure data sharing
Share live data easily and securely with your partners but without copying or moving that data to ensure a single source of truth across your ecosystem.
External tables
Query data in cloud object stores for additional insights but without having to ingest that data.
Access controls and encryption
Protect your customer data with role-based access controls (RBAC) and data encryption at rest and in transit.
USE CASES
Sovereign Builds Next-Generation Applications @ Cloud-Scale
To be competitive in today’s data applications market, startups and independent software vendors must deliver products that ingest and analyze large volumes of data quickly and easily. These requirements hold true for all data app types, including business intelligence (BI), Internet of Things (IoT), marketing and sales automation, customer relationship management (CRM), and machine learning, to name a few.
Once they have met these fundamental needs, data app builders must also demonstrate their product’s strong performance for a large number of concurrent users on a global scale, all while keeping expenses in check, growing the business, and future-proofing their technology investments.
CUSTOMER 360°
Build data-intensive applications that deliver visualizations within your app.
- Deliver fast analytics with workload isolation and auto scaling of near-infinite compute resources
- Easily embed visualizations with connectors for embeddable tools such as Tableau and Looker or with open source charting libraries.
- Easily deliver insights on all your data with native support for structured and semi-structured data.
INTERNET-OF-THINGS (IoT)
Develop applications that analyze large volumes of time-series data from IoT devices and respond in near real time.
- Eliminate database sprawl with a single repository for all your device data with native support for semi-structured data
- Easily stream data in real time with a native Kafka connector
- Accelerate queries with automatic optimization for time-series device data
MACHINE LEARNING & DATA SCIENCE
Train machine learning models to build predictive applications such as recommendation engines.
- Build models with broad support of ML platforms, including AWS Sagemaker, Google ML Engine, DataRobot, Dataiku, H20.ai, Domino Data Labs and Zepl
- Integrate ML libraries such as Tensorflow/Keras, PyTorch, Spark ML, and R Studio with native connectors for Python, SQLAlchemy and Spark
- Leverage training data in your data lake without ingestion thanks to external tables
APPLICATION HEALTH & SECURITY ANALYSIS
Analyze large volumes of log data to identify potential security threats and monitor application health.
- Analyze massive amounts of data cost effectively with commodity storage and per-second pricing
- Implement SQL rules to detect anomalies with Snowflake Schedules and Tasks
- Easily stream log data in real time with a native Kafka connector
EMBEDDED ANALYTICS
Build data-intensive applications that deliver visualizations within your app.
- Deliver fast analytics with workload isolation and auto scaling of near-infinite compute resources
- Easily embed visualizations with connectors for embeddable tools such as Tableau and Looker or with open source charting libraries.
- Easily deliver insights on all your data with native support for structured and semi-structured data
Digital Innovation Delivered!
We design, build and deliver technology-based innovations that create significant competitive advantage and revenue growth potential for our clients.