Accelerate time to insight with a database built for ultra-fast ingest & high-performance queries
Ease of Use and Flexibility
SingleStore Universal Storage architecture allows transactional and analytical workloads to be processed on operational data using a single table type
Low-Latency Analytics
Deliver sub-second response for analytics on real-time and historical data
Overview
Vertica
Description
Built for maximum ingest, fast query, and high concurrency to help you process, analyze, and act on data instantly. Available in the cloud, on Kubernetes, or on-premises.
Columnar-stored relational database, fundamentally designed to manage analytical workloads in data warehousing applications.
Database Model
Relational DBMS
Relational DBMS
DBaaS Offering
SingleStoreDB Cloud
Unavailable
Real-Time
Data Ingest
Deliver insights in real-time with lock-free ingestion and fast analytic queries to serve instant responses to fast-changing customers or operational events
Doesn't handle real-time data ingestion and analytics on rapidly changing data
5 / 5
1 / 5
Workloads
Flexibility
Combines transactional and analytical (HTAP - Hybrid Transaction/Analytical Processing) requirements in a single system
Not an ideal solution for use cases such as high-velocity transactions (OLTP workloads), real-time insights on streaming applications, or hybrid workloads etc.
5 / 5
3 / 5
Scalability
Architecture
Scale-out efficiently and quickly respond to growing workloads leveraging commodity hardware without add-ons or specialized tuning expertise.
Growth in data volume and user concurrency is addressed with costly add-ons, specialized hardware upgrades, or premium tuning experts
5 / 5
3 / 5
Cost-Effectiveness
Total Cost of Ownership (TCO)
Simple single product subscription with easy to manage and patch software platform delivers performance with dramatic cost savings
Requires specialized hardware to operate. Expensive subscription policies result in continuously rising TCO.
SingleStoreDB is The Real-Time Distributed SQL Database, designed for data-intensive applications. Run both transactional and analytical workloads at scale with an integrated, familiar, durable SQL database
