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.
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
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.
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
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.
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