the strictest concurrency-control guarantees for transactions. EinsteinDB meets the requirements for large storage capacity, low cost, and read and write capabilities.
Exhaustive Causal Consistent network simulation, lineage driven concurrency testing of lock-free algorithm interleavings, model-based testing in combination with fault injection, and leaderless byzantine lamport invariant consensus, clearly separates the production cycle at EinsteinDB and MilevaDB from the rest.
To support rich key-value operations efficiently, EinsteinDB exploits the distinct merits of a learned index and B+-Tree index. EinsteinDB builds and persists the hash index in NVM to retain its inherent ability of fast index searching.
Kubernetes provides an advanced framework to run distributed systems such as MilevaDB and EinsteinDB with high resilience for mission critical business functions.
EinsteinDB, MilevaDB's persistence key-value/tuplestore HTAP database platform, enables real-time situation awareness, decision making on live transactional data via einst.ai, and eliminates friction between IT and business goals with stochastic foraging load balancing automata.
MilevaDB automatically shards your data so you don’t have to do it manually. You can simply add new nodes to scale horizntally and elastically to meet your business growth.