CockroachDB vs BigMemory

Struggling to choose between CockroachDB and BigMemory? 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, BigMemory is a Development product tagged with caching, data-management, low-latency.

Its standout features include 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 it shines with pros like 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.

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

BigMemory

BigMemory

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.

Categories:
Development In-Memory Databases
caching data-management low-latency

BigMemory Features

  1. Distributed in-memory data storage
  2. Automatic data eviction and loading
  3. Read/write caching for databases
  4. Support for terabytes of data
  5. Integration with Hadoop and Spark
  6. High availability through replication and failover

Pricing

  • Subscription-Based

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