What is OlegDB?
It is a concurrent, pretty fast K/V hashtable with an Go frontend. It uses the Murmur3 hashing algorithm to hash and index keys. It operates under a startling new enterprise-ready paradigm which we call MAYO: Marginally available Yolk and Oil database.
OlegDB is a tool in the Databases category of a tech stack.
Who uses OlegDB?
Developers
OlegDB Integrations
OlegDB's Features
- Keeps track of currently inserted nodes via a splay tree
- LZ4 Compression
- Enterprise-ready paradigm
OlegDB Alternatives & Comparisons
What are some alternatives to OlegDB?
MySQL
The MySQL software delivers a very fast, multi-threaded, multi-user, and robust SQL (Structured Query Language) database server. MySQL Server is intended for mission-critical, heavy-load production systems as well as for embedding into mass-deployed software.
PostgreSQL
PostgreSQL is an advanced object-relational database management system
that supports an extended subset of the SQL standard, including
transactions, foreign keys, subqueries, triggers, user-defined types
and functions.
MongoDB
MongoDB stores data in JSON-like documents that can vary in structure, offering a dynamic, flexible schema. MongoDB was also designed for high availability and scalability, with built-in replication and auto-sharding.
Redis
Redis is an open source (BSD licensed), in-memory data structure store, used as a database, cache, and message broker. Redis provides data structures such as strings, hashes, lists, sets, sorted sets with range queries, bitmaps, hyperloglogs, geospatial indexes, and streams.
Amazon S3
Amazon Simple Storage Service provides a fully redundant data storage infrastructure for storing and retrieving any amount of data, at any time, from anywhere on the web