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  1. Stackups
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  4. Databases
  5. Aerospike vs Microsoft SQL Server

Aerospike vs Microsoft SQL Server

OverviewDecisionsComparisonAlternatives

Overview

Microsoft SQL Server
Microsoft SQL Server
Stacks21.3K
Followers15.5K
Votes540
Aerospike
Aerospike
Stacks200
Followers288
Votes48
GitHub Stars1.3K
Forks196

Aerospike vs Microsoft SQL Server: What are the differences?

Introduction:
Aerospike and Microsoft SQL Server are both popular database management systems, but they have key differences that differentiate them in various aspects of data storage and retrieval.

1. **Data Model**: Aerospike is a NoSQL database that uses a key-value data model, allowing for flexible schema and fast data access. On the other hand, Microsoft SQL Server is a relational database management system that uses tables, columns, and rows to store and organize data in a structured manner.

2. **Scaling**: Aerospike is designed for horizontal scalability, allowing it to easily handle large volumes of data by adding more nodes to the cluster. In contrast, Microsoft SQL Server is typically scaled vertically by upgrading hardware, which may limit its ability to handle rapid data growth.

3. **Consistency**: Aerospike focuses on high availability and eventual consistency, prioritizing fast data access and low latency. Microsoft SQL Server, on the other hand, emphasizes strong consistency and transaction management, ensuring data integrity and reliability at the expense of some performance.

4. **Use Cases**: Aerospike is well-suited for applications that require real-time analytics, high-speed transactions, and low-latency data processing, such as ad tech platforms and financial services. In comparison, Microsoft SQL Server is often used in enterprise settings for traditional business applications, reporting, and data warehousing.

5. **Development Languages**: Aerospike supports various programming languages, including Java, C#, Python, and Go, making it versatile for developers with different language preferences. In contrast, Microsoft SQL Server primarily uses Transact-SQL (T-SQL) as its query language, limiting developers to a specific language for database interactions.

6. **Licensing**: Aerospike is available as an open-source community edition and a commercial enterprise edition with additional features and support options. On the other hand, Microsoft SQL Server offers multiple licensing options, including per-core and server licenses, depending on the deployment and usage requirements.

In Summary, Aerospike and Microsoft SQL Server differ in their data models, scaling capabilities, consistency models, use cases, supported development languages, and licensing options, catering to different needs and preferences in database management. 

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Advice on Microsoft SQL Server, Aerospike

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
Aerospike
Aerospike

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

Aerospike is an open-source, modern database built from the ground up to push the limits of flash storage, processors and networks. It was designed to operate with predictable low latency at high throughput with uncompromising reliability – both high availability and ACID guarantees.

-
99% of reads/writes complete in under 1 millisecond.;Predictable low latency at high throughput – second to none. Read the YCSB Benchmark.;The secret sauce? A thousand things done right. Server code in ‘C’ (not Java or Erlang) precisely tuned to avoid context switching and memory copies. Highly parallelized multi-threaded, multi-core, multi-cpu, multi-SSD execution.;Indexes are always stored in RAM. Pure RAM mode is backed by spinning disks. In hybrid mode, individual tables are stored in either RAM or flash.
Statistics
GitHub Stars
-
GitHub Stars
1.3K
GitHub Forks
-
GitHub Forks
196
Stacks
21.3K
Stacks
200
Followers
15.5K
Followers
288
Votes
540
Votes
48
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
    Data pages is only 8k
Pros
  • 16
    Ram and/or ssd persistence
  • 12
    Easy clustering support
  • 5
    Easy setup
  • 4
    Acid
  • 3
    Performance better than Redis

What are some alternatives to Microsoft SQL Server, Aerospike?

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.

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.

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