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.

Feature	MemSQL	Postgres-XC
Overall Score	N/A	N/A
Primary Category	Development	Databases

Product Overview

MemSQL

Description: 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.

Postgres-XC

Description: 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.

Key Features Comparison

MemSQL Features

• 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

Postgres-XC Features

• 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

Pros & Cons Analysis

MemSQL

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

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

Pricing Comparison

MemSQL

• Subscription-Based

Postgres-XC

• Open Source