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.

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.

OrbitDB

OrbitDB

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.

Categories:
Development Databases
decentralized peertopeer ipfs distributed-web

OrbitDB Features

  1. Decentralized database
  2. Built on IPFS
  3. Event log for database changes
  4. Supports CRUD operations
  5. Access control lists
  6. Queryable database API

Pricing

  • Open Source

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

Datomic

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.

Categories:
Development Databases
distributed datalog acid temporal flexible-data-modeling scalable

Datomic Features

  1. Distributed database
  2. Uses Datalog query language
  3. ACID transactions
  4. Temporal/historical database capabilities
  5. Flexible schema design
  6. Scalable across multiple servers

Pricing

  • Subscription-Based
  • Pay-As-You-Go

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