Struggling to choose between PostgreSQL and MeshyDB? Both products offer unique advantages, making it a tough decision.
PostgreSQL is a Development solution with tags like open-source, objectrelational, reliable, performant, sql-compliant.
It boasts features such as Relational database management system (RDBMS), Open source with liberal license, SQL compliant and extensive SQL support, High performance and reliability, Fully ACID (Atomicity, Consistency, Isolation, Durability) compliant, Multi-version concurrency control (MVCC) architecture, Asynchronous replication and failover, Table inheritance and table partitioning, Procedural languages support and pros including Robust feature set, High performance, Reliable, Free and open source, Cross platform, Strong community support.
On the other hand, MeshyDB is a Development product tagged with p2p, distributed, encryption, open-source.
Its standout features include Decentralized peer-to-peer database, Distributed hash table for data storage, End-to-end encryption for privacy, SQL-like query language, Horizontal scaling, Conflict-free replicated data types, and it shines with pros like High availability due to distributed architecture, No single point of failure, Censorship resistance, Data privacy through encryption, Low latency queries.
To help you make an informed decision, we've compiled a comprehensive comparison of these two products, delving into their features, pros, cons, pricing, and more. Get ready to explore the nuances that set them apart and determine which one is the perfect fit for your requirements.
PostgreSQL is an open source, object-relational database management system known for its reliability, performance, and SQL compliance. It runs on all major operating systems and has a rich set of features including complex queries, foreign keys, triggers, views, and ACID compliance.
MeshyDB is an open-source, decentralized database platform that allows users to store and query data in a peer-to-peer network. It uses distributed hash tables and encryption for data availability and privacy.