Comparisons
VeloDB is designed for real-time data analytics with strong scalability. Snowflake is a cloud-based data warehouse and analytics platform. When it comes to real-time analytics, VeloDB shows higher concurrency, faster queries at a fraction of the cost.
Real-Time Data Latency
Faster Queries
Higher Concurrency
Cost Efficiency
By making the switch to VeloDB for our real-time analytics platform, we've seen query speeds boost 3-10x faster and costs dropped nearly 50% compared to Snowflake. Plus, VeloDB's strong support for diverse analytical workloads—like complex searches, multi-table joins, and a variety of aggregations—makes it ideal for analytics that need to be both swift and adaptable.
Supports three deployment options:
TPC-H SF100 Benchmark
The TPC-H benchmark with a scale factor of 100 (SF100) is a widely used standard for evaluating database performance. It includes a set of complex SQL queries designed to simulate real-world business intelligence workloads.
For comparison of query performance, models with similar costs were selected:
TPC-DS SF1000 Benchmark
The TPC-DS SF1000 Benchmark evaluates data warehouse performance using a 1TB dataset with 6.35 billion records across 24 tables.
It includes 99 complex queries to test joins, aggregations, and subqueries. Based on a snowflake schema, it simulates real-world sales scenarios. The 1TB scale is challenging due to query complexity.
ClickBench
ClickBench is a benchmarking tool to evaluate the performance of analytical databases. It focuses on testing the performance of large, flat tables rather than complex multi-table joins. It uses real-world data from a major web analytics platform, covering typical scenarios such as clickstream analysis and structured logs.
For comparison of query performance, models with similar costs were selected: