OrbitDB vs Hazelcast

Struggling to choose between OrbitDB and Hazelcast? 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, Hazelcast is a Development product tagged with caching, processing-streams, clustering.

Its standout features include Distributed in-memory data store, Low latency data access, Automatic sharding and rebalancing, ACID transactions, Querying and aggregation, Event journaling, Multi-datacenter replication, Web session clustering, Continuous query, Machine learning, and it shines with pros like Fast performance, Easy scalability, High availability, Flexible deployment options, Open source, Rich ecosystem.

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

Hazelcast

Hazelcast

Hazelcast is an open source in-memory data grid that enables distribution of data and computation across servers for scalability, speed, and resilience. It is commonly used for caching, processing streams, and clustering.

Categories:
Development Distributed Computing
caching processing-streams clustering

Hazelcast Features

  1. Distributed in-memory data store
  2. Low latency data access
  3. Automatic sharding and rebalancing
  4. ACID transactions
  5. Querying and aggregation
  6. Event journaling
  7. Multi-datacenter replication
  8. Web session clustering
  9. Continuous query
  10. Machine learning

Pricing

  • Open Source
  • Enterprise Edition (Subscription)

Pros

Fast performance

Easy scalability

High availability

Flexible deployment options

Open source

Rich ecosystem

Cons

Complex configuration

Steep learning curve

No visual interface