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  1. Stackups
  2. Application & Data
  3. Infrastructure as a Service
  4. Cluster Management
  5. Apache Aurora vs Microsoft SQL Server

Apache Aurora vs Microsoft SQL Server

OverviewDecisionsComparisonAlternatives

Overview

Apache Aurora
Apache Aurora
Stacks69
Followers96
Votes0
Microsoft SQL Server
Microsoft SQL Server
Stacks21.3K
Followers15.5K
Votes540

Apache Aurora vs Microsoft SQL Server: What are the differences?

## Key Differences between Apache Aurora and Microsoft SQL Server

1. **Architecture**: Apache Aurora is a distributed, horizontally scalable job scheduler, designed to support large-scale clusters, while Microsoft SQL Server is a relational database management system used for storing and retrieving data in a structured format.
   
2. **Use Case**: Apache Aurora is commonly used for managing long-running services and cron jobs in a data center, prioritizing fault tolerance and scalability, whereas Microsoft SQL Server is primarily utilized for managing and storing transactional and analytical data for applications.

3. **Language Support**: Apache Aurora is written in Java and Python, providing a flexible and extensible framework for developers, whereas Microsoft SQL Server primarily uses T-SQL, a proprietary language, for querying and manipulating data.

4. **Horizontal Scalability**: Apache Aurora allows for easy horizontal scaling by adding more nodes to the cluster to handle increased workloads, whereas horizontal scaling in Microsoft SQL Server often involves sharding or partitioning the database to distribute data across multiple servers.

5. **Open Source vs Proprietary**: Apache Aurora is open-source, freely available for users to modify and contribute to its codebase, while Microsoft SQL Server is a proprietary software product developed and sold by Microsoft Corporation, with licensing fees associated with its use.

6. **Community Support**: Apache Aurora has a large and active open-source community contributing to its development and providing support through forums and documentation, whereas Microsoft SQL Server has a strong support network from Microsoft, including regular updates, patches, and technical assistance for licensed users.

In Summary, Apache Aurora and Microsoft SQL Server differ in their architecture, use cases, language support, scalability options, licensing models, and community support.

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Advice on Apache Aurora, Microsoft SQL Server

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

Apache Aurora
Apache Aurora
Microsoft SQL Server
Microsoft SQL Server

Apache Aurora is a service scheduler that runs on top of Mesos, enabling you to run long-running services that take advantage of Mesos' scalability, fault-tolerance, and resource isolation.

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

Deployment and scheduling of jobs;The abstraction a “job” to bundle and manage Mesos tasks;A rich DSL to define services;Health checking;Failure domain diversity;Instant provisioning
-
Statistics
Stacks
69
Stacks
21.3K
Followers
96
Followers
15.5K
Votes
0
Votes
540
Pros & Cons
No community feedback yet
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
Integrations
Apache Mesos
Apache Mesos
Vagrant
Vagrant
No integrations available

What are some alternatives to Apache Aurora, Microsoft SQL Server?

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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