Company Performance Metrics
Business Permitting Apache 2.0 OSS k8 native Distributed SQL via EinsteinDB, MilevaDB, and VioletaBFT(Multi-Raft Consensus) via Ansible, K8s, and Docker; Embedded Databases such as EinsteinDB are inspired by AllegroGraph, graphD, and BerkeleyDB. EinsteinDB processes millions of rows per every 39 milliseconds via pub-sub interlocking directorate
semaphores, guaranteeing low-latency, read-intensive Hashings for High Throughput RNA next-gen sequencing, Exotic Metamaterial Difussion modeling of Monte Carlo distributions; Online Multi-player Physics, Container Orchestration, and Distributed Tracing across multi-dimensional buckets. EinsteinDB calls itself 'the world's first relativistic linearizable database', providing an append-log with directed caching inside PostgresQL Meta-stores offering JIT SQLite hexdumps. EinsteinDB introduces supercolumnar 'key-value causets' in the form of prolog, which are Time-travel queries with ACID immutable caches.
