A Semi-Relational Causal Consistent Knowledge Base for Distributed Computing and Persistence with Homomorphic Quantum Secure Ledgers and Pods.
A zero-cost embedded database backed by LMDB, PostgresQL, and Prolog-AllegroSQL's imperative append-log interface. Exploiting SIMD: The Battle With accelerating point and range search queries as instances of the more general configurable combined compute and storage capabilities of memristor skews
EinsteinDB introduces novel configurations offering exclusive hybrid data structures that use both conventional CMOS processors/cache hierarchies and memristors for compute/storage!
EinsteinDB is An embedded Datalog-AllegroSQL (locally immutable) in-memory database and Datalog query engine written in Rust, with Multi-Raft Haskell written consensus, MySQL and SQL parsing with Golang via MilevaDB, and TPC-C Benchmarking with Clojure Jepsen-Ready High-Throughput, Low-Latency Artifacts.
$0.020010Gbps for Read-Heavy workloads
QoS on Ingress via Relativistic Sidecars
Under millisecond Reads
Optimal Stochastic OLAP joins.
Our new data structures combine T-trees, B+- trees, and MemCAM to obtain a balance between search time and lifetime by exploiting a heterogeneous computing environment.More About Us