Looking for alternatives or competitors to RocksDB? Key Value Databases is a widely used technology, and many people are seeking innovative, quick software solutions with integrated cache, role-based authorization, and authentication. Other important factors to consider when researching alternatives to RocksDB include ease of use and reliability. The best overall RocksDB alternative is Redis Software. Other similar apps like RocksDB are BoltDB, Amazon DynamoDB, ScyllaDB, and Berkeley DB 12c. RocksDB alternatives can be found in Key Value Databases but may also be in Document Databases or Wide Column Database Software.
Redis Software is designed for organizations that need fast, reliable in-memory database capabilities alongside the flexibility to manage their infrastructure. With sub-millisecond latency and millions of operations per second, Redis Software excels in delivering real-time performance. Built for high availability and disaster recovery, Redis Software ensures your data remains safe and accessible, providing the foundation for fast, scalable applications.
BoltDB is an embedded key/value database for Go.
Nonrelational database for applications that need performance at any scale
Oracle Berkeley DB provides an open source embeddable databases allowing developers the choice of SQL, Key/Value, XML/XQuery or Java Object storage for their data model.
Azure Redis Cache is a secure data cache and messaging broker that provides high throughput and low-latency access to data for applications.
Aerospike Database is a Key-Value Store and high performance real-time NoSQL (flex-schema) database.
Couchbase is engineered to meet the elastic scalability, consistent high performance, always-on availability, and data mobility requirements of mission critical applications.
Cassandra's data model offers the convenience of column indexes with the performance of log-structured updates, strong support for denormalization and materialized views, and powerful built-in caching.
Apache Ignite is an in-memory computing platform that is durable, strongly consistent, and highly available with powerful SQL, key-value and processing APIs.