OrbitDB vs Datomic

Struggling to choose between OrbitDB and Datomic? Both products offer unique advantages, making it a tough decision.

OrbitDB is a Development solution with tags like decentralized, peertopeer, ipfs, distributed-web.

It boasts features such as Decentralized database, Built on IPFS, Event log for database changes, Supports CRUD operations, Access control lists, Queryable database API and pros including Decentralization provides censorship resistance, Data is distributed across nodes, Immutable append-only log, Fine-grained access control, Interoperable with other IPFS tools.

On the other hand, Datomic is a Development product tagged with distributed, datalog, acid, temporal, flexible-data-modeling, scalable.

Its standout features include Distributed database, Uses Datalog query language, ACID transactions, Temporal/historical database capabilities, Flexible schema design, Scalable across multiple servers, and it shines with pros like Handles large datasets and scales horizontally, Flexible schema allows for evolving data models, Query performance optimized for reads, Built-in caching improves read speeds, ACID transactions ensure data consistency, Temporal querying enables data auditing.

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

Product Overview

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.

Datomic

Description: Datomic is a distributed database designed to enable scalable, flexible and intelligent applications. It uses Datalog and transaction processing to provide ACID transactions, temporal database capabilities and flexible data modeling. Datomic is well suited for applications that need to manage large data sets across multiple servers.

Key Features Comparison

OrbitDB Features

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

Datomic Features

• Distributed database
• Uses Datalog query language
• ACID transactions
• Temporal/historical database capabilities
• Flexible schema design
• Scalable across multiple servers

Pros & Cons Analysis

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

Datomic

Pros

• Handles large datasets and scales horizontally
• Flexible schema allows for evolving data models
• Query performance optimized for reads
• Built-in caching improves read speeds
• ACID transactions ensure data consistency
• Temporal querying enables data auditing

Cons

• Not ideal for OLTP workloads
• Limited ad-hoc querying capabilities
• Proprietary query language has learning curve
• Hosted cloud option only available on AWS

Pricing Comparison

OrbitDB

• Open Source

Datomic

• Subscription-Based
• Pay-As-You-Go