Database Systems

Document, key-value, wide-column, and other non-relational data stores built for flexibility and horizontal scale.

NewSQL systems delivering relational semantics and ACID compliance at global, multi-node scale.

Ultra-fast data stores that keep entire datasets in RAM for sub-millisecond read and write performance.

Purpose-built engines optimised for ingesting, storing, and querying timestamped data at high velocity.

Databases designed to handle the massive, continuous streams of sensor and device data from IoT deployments.

Triple stores and semantic databases for storing and querying knowledge represented as subject–predicate–object triples.

Unified engines that support multiple data models — relational, document, graph, and key-value — within a single platform.

Real-time data processing systems that combine the power of a database with continuous event stream processing.

Databases that model data as nodes and edges, enabling powerful traversal and analysis of deeply connected relationships.

Fully managed, cloud-native DBMS offerings from major providers delivering elastic scaling and zero-ops operation.

Lightweight databases that run inside a Java application process — no server required, ideal for embedded and edge deployments.

Purpose-built stores for high-dimensional embedding vectors, powering semantic search and AI-driven retrieval in LLM applications.