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Badger is an embeddable key-value store written in Go that provides persistent data storage for byte keys and values. It is a persistent database that utilizes a tiered LSM tree storage model to optimize disk storage and retrieval efficiency. The system features an ACID transaction engine that ensures data integrity through serializable snapshot isolation and multi-version concurrency control. It also provides an encrypted key-value store with data-at-rest encryption and a managed encrypted key registry to secure stored information. The engine covers a broad set of capabilities including hig
Dgraph is a distributed graph database designed to store and query highly connected data. It organizes information as nodes and edges to represent complex relationships between entities, providing a platform for managing and analyzing deeply linked datasets. The system functions as a horizontally scalable cluster that partitions data across multiple nodes to maintain performance and availability as information volume increases. It utilizes a specialized query language built for low-latency navigation of interconnected data points, allowing for the execution of complex queries across large-sca
Cockroach is a distributed SQL database designed to scale horizontally across multiple nodes while maintaining strict ACID compliance and global data consistency. It functions as a relational database engine that automatically partitions data into ranges, rebalancing them across a cluster to accommodate growing storage and throughput requirements. By utilizing a distributed consensus protocol, the system ensures that all nodes agree on the order of operations, providing fault tolerance and continuous availability even in the event of hardware failures. The system distinguishes itself through
Neo4j is a native graph database management system designed to store and query highly connected data using a property-graph model. It provides an ACID-compliant transaction engine that ensures data integrity, supported by a distributed cluster architecture that maintains causal consistency across nodes. Users interact with the system through a declarative query language, which allows for complex pattern matching and path traversal without requiring manual traversal logic. The platform distinguishes itself through its hybrid approach to data retrieval, combining traditional graph-based queries
Secure Vault for Customer PII/PHI/PCI/KYC Records
The main features of paranoidguy/databunker are: Database Engines, Databases, Databases and Storage.
Projects with overlapping indexed features include: dgraph-io/dgraph — Dgraph is a distributed graph database designed to store and query highly connected data. It organizes information as… pingcap/tidb — TiDB is a horizontally scalable, distributed SQL database designed to provide consistent transactional storage and… cockroachdb/cockroach — Cockroach is a distributed SQL database designed to scale horizontally across multiple nodes while maintaining strict… dgraph-io/badger — Badger is an embeddable key-value store written in Go that provides persistent data storage for byte keys and values.… neo4j/neo4j — Neo4j is a native graph database management system designed to store and query highly connected data using a… roseduan/rosedb — RoseDB is an embedded key-value database and log-structured storage engine. It functions as a library-based database…