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  1. Stackups
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  5. CockroachDB vs Microsoft SQL Server

CockroachDB vs Microsoft SQL Server

OverviewDecisionsComparisonAlternatives

Overview

Microsoft SQL Server
Microsoft SQL Server
Stacks21.3K
Followers15.5K
Votes540
CockroachDB
CockroachDB
Stacks216
Followers341
Votes0

CockroachDB vs Microsoft SQL Server: What are the differences?

Introduction

CockroachDB and Microsoft SQL Server are both popular relational database management systems, but they differ in various aspects. Here are key differences between CockroachDB and Microsoft SQL Server:

  1. Scalability: CockroachDB is designed to be highly scalable and can easily handle large-scale distributed databases. It uses a distributed architecture based on the Raft consensus algorithm and offers horizontal scaling. On the other hand, Microsoft SQL Server is primarily designed for single-instance deployments and lacks native support for automatic horizontal scaling. Scalability is a major advantage of CockroachDB in highly demanding and rapidly growing applications.

  2. Consistency: CockroachDB guarantees strong consistency by default. It follows a strict serializable isolation level, ensuring that transactions are executed in an order consistent with their serial order. Microsoft SQL Server offers different isolation levels, ranging from read uncommitted to serializable, but may sacrifice consistency for performance in some cases. CockroachDB's strong consistency model makes it more suitable for applications where data integrity is crucial.

  3. Fault-tolerance: CockroachDB is highly fault-tolerant and can tolerate the failure of individual nodes, ensuring continuous availability. It uses distributed consensus and automatic data replication to maintain data durability. Microsoft SQL Server can also be configured for fault tolerance by setting up failover clusters or database mirroring, but it relies on external tools and requires manual configuration. CockroachDB provides built-in fault-tolerance features that simplify high availability deployments.

  4. Geographic Distribution: CockroachDB natively supports geographic distribution and multi-region deployments. It allows data to be spread across different geographical locations, providing low-latency access to data for users in various regions. Microsoft SQL Server lacks built-in features for geographic distribution and requires custom solutions like database sharding or replication to achieve similar capabilities. CockroachDB's native support for geographic distribution simplifies global deployments.

  5. Open-source vs. Proprietary: CockroachDB is an open-source database built on top of PostgreSQL, providing both a free community edition and a commercially supported version. It offers the advantages of open-source software, such as transparency, extensibility, and community support. Microsoft SQL Server, on the other hand, is a proprietary database that requires licenses for commercial use. The open-source nature of CockroachDB makes it more accessible for developers and organizations looking for cost-effective solutions.

  6. ACID Compliance: CockroachDB is fully ACID compliant, ensuring Atomicity, Consistency, Isolation, and Durability for transactions. It provides the necessary guarantees for reliable data processing in applications that require acid properties. Microsoft SQL Server also supports ACID properties, but the level of isolation can be adjusted based on the chosen isolation level. CockroachDB's strict adherence to ACID principles makes it suitable for applications with stringent data integrity requirements.

In Summary, CockroachDB offers superior scalability, strong consistency, fault-tolerance, geographic distribution support, open-source availability, and full ACID compliance compared to Microsoft SQL Server.

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Advice on Microsoft SQL Server, CockroachDB

Erin
Erin

IT Specialist

Mar 10, 2020

Needs adviceonMicrosoft SQL ServerMicrosoft SQL ServerMySQLMySQLPostgreSQLPostgreSQL

I am a Microsoft SQL Server programmer who is a bit out of practice. I have been asked to assist on a new project. The overall purpose is to organize a large number of recordings so that they can be searched. I have an enormous music library but my songs are several hours long. I need to include things like time, date and location of the recording. I don't have a problem with the general database design. I have two primary questions:

  1. I need to use either @{MySQL}|tool:1025| or @{PostgreSQL}|tool:1028| on a @{Linux}|tool:10483| based OS. Which would be better for this application?
  2. I have not dealt with a sound based data type before. How do I store that and put it in a table? Thank you.
668k views668k
Comments

Detailed Comparison

Microsoft SQL Server
Microsoft SQL Server
CockroachDB
CockroachDB

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

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.

-
sql; high availability; fast; acid;
Statistics
Stacks
21.3K
Stacks
216
Followers
15.5K
Followers
341
Votes
540
Votes
0
Pros & Cons
Pros
  • 139
    Reliable and easy to use
  • 101
    High performance
  • 95
    Great with .net
  • 65
    Works well with .net
  • 56
    Easy to maintain
Cons
  • 4
    Expensive Licensing
  • 2
    Microsoft
  • 1
    Replication can loose the data
  • 1
    Allwayon can loose data in asycronious mode
  • 1
    The maximum number of connections is only 14000 connect
No community feedback yet

What are some alternatives to Microsoft SQL Server, 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.

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.

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.

ArangoDB

ArangoDB

A distributed free and open-source database with a flexible data model for documents, graphs, and key-values. Build high performance applications using a convenient SQL-like query language or JavaScript extensions.

InfluxDB

InfluxDB

InfluxDB is a scalable datastore for metrics, events, and real-time analytics. It has a built-in HTTP API so you don't have to write any server side code to get up and running. InfluxDB is designed to be scalable, simple to install and manage, and fast to get data in and out.

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