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  1. Stackups
  2. Application & Data
  3. In-Memory Databases
  4. In Memory Databases
  5. CockroachDB vs MemSQL

CockroachDB vs MemSQL

OverviewComparisonAlternatives

Overview

MemSQL
MemSQL
Stacks86
Followers184
Votes44
CockroachDB
CockroachDB
Stacks216
Followers341
Votes0

CockroachDB vs MemSQL: What are the differences?

## Introduction
Key differences between CockroachDB and MemSQL.

1. **Architecture**: CockroachDB is a distributed SQL database that uses a distributed, transactional key-value store as its underlying engine. In contrast, MemSQL is a distributed, in-memory, SQL database that uses a combination of in-memory rowstore and on-disk columnstore for its storage.

2. **Consistency Model**: CockroachDB offers strong consistency guarantees based on the linearizable consistency model, ensuring that all reads and writes are globally ordered. MemSQL, on the other hand, provides eventual consistency by default but can be configured for strong consistency using its distributed lock manager.

3. **Scale-out Capabilities**: CockroachDB is designed for horizontal scalability, allowing users to easily add nodes to the cluster to handle increased workloads. MemSQL also supports scale-out capabilities, but its in-memory design may limit the scalability compared to CockroachDB for certain workloads.

4. **SQL Support**: Both CockroachDB and MemSQL support ANSI SQL, providing familiar query language interfaces for users. However, MemSQL also offers support for MySQL wire protocol, making it compatible with existing MySQL applications without significant modifications.

5. **Storage Options**: CockroachDB uses a distributed, multi-version concurrency control (MVCC) approach for data storage, ensuring data consistency and isolation. In contrast, MemSQL leverages a combination of in-memory and on-disk storage engines, providing high-performance queries for analytical workloads.

6. **Community and Licensing**: CockroachDB is an open-source project under the Apache License 2.0, allowing users to contribute and modify the code freely. MemSQL, on the other hand, offers both a free community edition and a paid enterprise edition with additional features and support options.

## Summary
In Summary, CockroachDB and MemSQL differ in their architecture, consistency model, scale-out capabilities, SQL support, storage options, and community/license offerings.

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Detailed Comparison

MemSQL
MemSQL
CockroachDB
CockroachDB

MemSQL converges transactions and analytics for sub-second data processing and reporting. Real-time businesses can build robust applications on a simple and scalable infrastructure that complements and extends existing data pipelines.

CockroachDB is distributed SQL database that can be deployed in serverless, dedicated, or on-prem. Elastic scale, multi-active availability for resilience, and low latency performance.

ANSI SQL Support;Fully-distributed Joins;Compiled Queries; ACID Compliance;In-Memory Tables;On-Disk Tables; Massively Parallel Execution;Lock Free Data Structures;JSON Support; High Availability; Online Backup and Restore;Online Replication
sql; high availability; fast; acid;
Statistics
Stacks
86
Stacks
216
Followers
184
Followers
341
Votes
44
Votes
0
Pros & Cons
Pros
  • 9
    Distributed
  • 5
    Realtime
  • 4
    Columnstore
  • 4
    Concurrent
  • 4
    Sql
No community feedback yet
Integrations
Google Compute Engine
Google Compute Engine
MySQL
MySQL
QlikView
QlikView
No integrations available

What are some alternatives to MemSQL, CockroachDB?

MongoDB

MongoDB

MongoDB stores data in JSON-like documents that can vary in structure, offering a dynamic, flexible schema. MongoDB was also designed for high availability and scalability, with built-in replication and auto-sharding.

Redis

Redis

Redis is an open source (BSD licensed), in-memory data structure store, used as a database, cache, and message broker. Redis provides data structures such as strings, hashes, lists, sets, sorted sets with range queries, bitmaps, hyperloglogs, geospatial indexes, and streams.

MySQL

MySQL

The MySQL software delivers a very fast, multi-threaded, multi-user, and robust SQL (Structured Query Language) database server. MySQL Server is intended for mission-critical, heavy-load production systems as well as for embedding into mass-deployed software.

PostgreSQL

PostgreSQL

PostgreSQL is an advanced object-relational database management system that supports an extended subset of the SQL standard, including transactions, foreign keys, subqueries, triggers, user-defined types and functions.

Microsoft SQL Server

Microsoft SQL Server

Microsoft® SQL Server is a database management and analysis system for e-commerce, line-of-business, and data warehousing solutions.

SQLite

SQLite

SQLite is an embedded SQL database engine. Unlike most other SQL databases, SQLite does not have a separate server process. SQLite reads and writes directly to ordinary disk files. A complete SQL database with multiple tables, indices, triggers, and views, is contained in a single disk file.

Cassandra

Cassandra

Partitioning means that Cassandra can distribute your data across multiple machines in an application-transparent matter. Cassandra will automatically repartition as machines are added and removed from the cluster. Row store means that like relational databases, Cassandra organizes data by rows and columns. The Cassandra Query Language (CQL) is a close relative of SQL.

Memcached

Memcached

Memcached is an in-memory key-value store for small chunks of arbitrary data (strings, objects) from results of database calls, API calls, or page rendering.

MariaDB

MariaDB

Started by core members of the original MySQL team, MariaDB actively works with outside developers to deliver the most featureful, stable, and sanely licensed open SQL server in the industry. MariaDB is designed as a drop-in replacement of MySQL(R) with more features, new storage engines, fewer bugs, and better performance.

RethinkDB

RethinkDB

RethinkDB is built to store JSON documents, and scale to multiple machines with very little effort. It has a pleasant query language that supports really useful queries like table joins and group by, and is easy to setup and learn.

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