BigMemory vs OrbitDB

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.

Feature	BigMemory	OrbitDB
Overall Score	N/A	N/A
Primary Category	Development	Development

Product Overview

BigMemory

Description: 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

Description: 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.

Key Features Comparison

BigMemory Features

• 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

OrbitDB Features

• Decentralized database
• Built on IPFS
• Event log for database changes
• Supports CRUD operations
• Access control lists
• Queryable database API

Pros & Cons Analysis

BigMemory

Pros

• 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

Cons

• Can lose data if not persisted
• RAM is more expensive than disk
• Not fully ACID compliant
• Can be complex to configure and tune

OrbitDB

Pros

• Decentralization provides censorship resistance
• Data is distributed across nodes
• Immutable append-only log
• Fine-grained access control
• Interoperable with other IPFS tools

Cons

• Still in early development
• Limited query capabilities
• Performance limitations of IPFS
• No built-in indexing or relationships

Pricing Comparison

BigMemory

• Subscription-Based

OrbitDB

• Open Source