Struggling to choose between BigMemory and OrbitDB? Both products offer unique advantages, making it a tough decision.
BigMemory is a Development solution with tags like caching, data-management, low-latency.
It boasts features such as Distributed in-memory data storage, Automatic data eviction and loading, Read/write caching for databases, Support for terabytes of data, Integration with Hadoop and Spark, High availability through replication and failover and pros including Very fast data access and throughput, Reduces load on databases, Scales horizontally, Lowers infrastructure costs by using RAM instead of disks, Supports both Java and .NET platforms.
On the other hand, OrbitDB is a Development product tagged with decentralized, peertopeer, ipfs, distributed-web.
Its standout features include Decentralized database, Built on IPFS, Event log for database changes, Supports CRUD operations, Access control lists, Queryable database API, and it shines with pros like Decentralization provides censorship resistance, Data is distributed across nodes, Immutable append-only log, Fine-grained access control, Interoperable with other IPFS tools.
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.
BigMemory is an in-memory data management system that provides a fast, scalable cache and data store for applications. It allows storing terabytes of data in memory for low-latency data access.
OrbitDB is a decentralized peer-to-peer database that allows developers to build decentralized applications. It works on top of IPFS, providing an API for managing databases on the distributed web.