CockroachDB vs Hazelcast

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

CockroachDB is a Development solution with tags like distributed, scalable, fault-tolerant, sql.

It boasts features such as Distributed SQL database, Horizontal scaling, High availability, Fault tolerance, ACID transactions, Multi-datacenter support, SQL compatibility, Automatic replication and failover, Geo-distributed deployments, Automated data balancing, SQL access for applications and pros including Scalable and highly available, Consistent and durable data, Automatic failover and recovery, SQL compatibility for easy migration, Open-source and community-driven, Cloud-native architecture.

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.

CockroachDB

CockroachDB

CockroachDB is an open-source, distributed SQL database that scales horizontally with high availability to tolerate failures and supports strongly consistent ACID transactions. It aims to provide scalability, survivability, and data consistency across multiple datacenters.

Categories:
Development Databases
distributed scalable fault-tolerant sql

CockroachDB Features

  1. Distributed SQL database
  2. Horizontal scaling
  3. High availability
  4. Fault tolerance
  5. ACID transactions
  6. Multi-datacenter support
  7. SQL compatibility
  8. Automatic replication and failover
  9. Geo-distributed deployments
  10. Automated data balancing
  11. SQL access for applications

Pricing

  • Open Source

Pros

Scalable and highly available

Consistent and durable data

Automatic failover and recovery

SQL compatibility for easy migration

Open-source and community-driven

Cloud-native architecture

Cons

Complexity of managing a distributed system

Limited ecosystem and tooling compared to traditional databases

Higher hardware requirements for production deployments

Potential performance overhead due to distributed nature

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