Architectures
We are on a quest to build a better, faster, and cost-effective cloud data warehouse with cutting-edge technologies.
Solution
Data Warehouse + Data Lake
Data Warehouse
Open Source
Open source (Core components)
Proprietary
Language
Rust (Fast & memory safe)
C++
SQL Support
Separation of Computing and Storage
Layers
Meta Services / Compute / Storage
Cloud Services / Compute / Storage
Cloud Providers
AWS (with plans for Google Cloud & Azure)
AWS / Google Cloud / Azure
Fundamental Techniques
Vectorized query execution
Pull & Push-Based pipeline
Cost-Driven & Workload-Aware techniques
Unknown (No public information)
ARM Architecture
Saving 50% off with ARM's cost-efficiency feature (compared to costs with x86 processors)
Not supported
Storage Format
Parquet - open data format
Accessible to downstream applications
Legacy micro-partition
NOT accessible to downstream applications
Semi-Structured Data
Query Result Caching
Enterprise Grade Encryption
Scalability
Unlimited resources. Infinite elasticity. Low costs.
Scheduling
Kubernetes pod-based
Virtual machines-based
Elasticity
Compute node unit
Cluster unit; No choice of node size
Costs
More technologies, less costs.
AWS EC2 Instance Type
ARM Spot Instance
x86 EC2 Instance
Cloud Infrastructure
Based on Kubernetes pod
Based on virtual machines
Transparent Pricing
No transparent pricing
Warehouse Auto-suspending
In seconds
In minutes
Costs
Economic
Per-second billing
Provisioning compute resources in seconds
Expensive
Per-minute billing
Provisioning compute resources in minutes
