MemSQL vs Postgres-XC

Struggling to choose between MemSQL and Postgres-XC? Both products offer unique advantages, making it a tough decision.

MemSQL is a Development solution with tags like inmemory, relational-database, analytics, transaction-processing.

It boasts features such as Distributed, in-memory architecture, Supports real-time analytics and transactional processing, Columnar and row-based storage, Automatic sharding and load balancing, Supports SQL and NoSQL queries, Integrates with popular data tools and frameworks, Automated data tiering and compression and pros including High-performance for real-time analytics, Scalable and fault-tolerant architecture, Simplified data management with automated features, Broad ecosystem support and integration, Supports both SQL and NoSQL workloads.

On the other hand, Postgres-XC is a Databases product tagged with clustering, scalability, high-availability, open-source.

Its standout features include Shared-nothing architecture for horizontal scalability, Automatic query routing and parallelization, Support for distributed transactions, Automatic failover and load balancing, Support for table partitioning across nodes, Support for multi-master and master-standby clusters, and it shines with pros like Scales horizontally to handle large workloads, Provides high availability through redundancy, Good performance through parallel query execution, Open source with community support.

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.

MemSQL

MemSQL

MemSQL is a distributed, in-memory relational database that combines high-performance analytics and transactional processing in a single database. It aims to provide real-time analytics on live transactional data.

Categories:
inmemory relational-database analytics transaction-processing

MemSQL Features

  1. Distributed, in-memory architecture
  2. Supports real-time analytics and transactional processing
  3. Columnar and row-based storage
  4. Automatic sharding and load balancing
  5. Supports SQL and NoSQL queries
  6. Integrates with popular data tools and frameworks
  7. Automated data tiering and compression

Pricing

  • Subscription-Based

Pros

High-performance for real-time analytics

Scalable and fault-tolerant architecture

Simplified data management with automated features

Broad ecosystem support and integration

Supports both SQL and NoSQL workloads

Cons

Relatively higher cost compared to open-source alternatives

Steep learning curve for complex deployments

Limited community support compared to other databases

Potential vendor lock-in for enterprise customers


Postgres-XC

Postgres-XC

Postgres-XC is an open source, shared-nothing clustering extension for PostgreSQL. It provides horizontal scalability across multiple nodes for handling large workloads and high availability through automatic failover.

Categories:
clustering scalability high-availability open-source

Postgres-XC Features

  1. Shared-nothing architecture for horizontal scalability
  2. Automatic query routing and parallelization
  3. Support for distributed transactions
  4. Automatic failover and load balancing
  5. Support for table partitioning across nodes
  6. Support for multi-master and master-standby clusters

Pricing

  • Open Source

Pros

Scales horizontally to handle large workloads

Provides high availability through redundancy

Good performance through parallel query execution

Open source with community support

Cons

Complex installation and configuration

No visual management tools

Limited ecosystem compared to PostgreSQL

Requires expertise to operate and tune