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DBMS > Aerospike vs. Microsoft Azure Cosmos DB vs. MongoDB

System Properties Comparison Aerospike vs. Microsoft Azure Cosmos DB vs. MongoDB

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Editorial information provided by DB-Engines
NameAerospike infopreviously called Citrusleaf  Xexclude from comparisonMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDB  Xexclude from comparisonMongoDB  Xexclude from comparison
DescriptionFlash-optimized In-memory NoSQL DatabaseGlobally distributed, horizontally scalable, multi-model database serviceOne of the most popular document stores available both as a fully managed cloud service and for deployment on self-managed infrastructure
Primary database modelDocument store
Key-value store
Spatial DBMS
Document store
Graph DBMS
Key-value store
Wide column store
Document store
Secondary database modelsSpatial DBMSSpatial DBMS
Search engine infointegrated Lucene index, currently in MongoDB Atlas only.
Time Series DBMS infoTime Series Collections introduced in Release 5.0
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score6.56
Rank#65  Overall
#12  Document stores
#7  Key-value stores
#2  Spatial DBMS
Score36.51
Rank#27  Overall
#4  Document stores
#2  Graph DBMS
#3  Key-value stores
#3  Wide column stores
Score452.77
Rank#5  Overall
#1  Document stores
Websiteaerospike.comazure.microsoft.com/­services/­cosmos-dbwww.mongodb.com
Technical documentationdocs.aerospike.comdocs.microsoft.com/­azure/­cosmos-dbdocs.mongodb.com/­manual
Social network pagesLinkedInTwitterFacebook
DeveloperAerospikeMicrosoftMongoDB, Inc
Initial release201220142009
Current release6.0.0.0, April 20226.0.1, August 2022
License infoCommercial or Open SourceOpen Source infoApache and AGPL Licenses; open sourced in June 2014; commercial Enterprise Edition availablecommercialOpen Source infoMongoDB Inc.'s Server Side Public License v1. Prior versions were published under GNU AGPL v3.0. Commercial licenses are also available.
Cloud-based only infoOnly available as a cloud servicenoyesno infoMongoDB available as DBaaS (MongoDB Atlas)
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
ScaleGrid for MongoDB Database: Fully managed hosting for MongoDB Database on a wide variety of cloud providers and On-Premises. Automate your management, scaling and backups through one centralized platform.
Implementation languageCC++
Server operating systemsLinuxhostedLinux
OS X
Solaris
Windows
Data schemeschema-freeschema-freeschema-free infoAlthough schema-free, documents of the same collection often follow the same structure. Optionally impose all or part of a schema by defining a JSON schema.
Typing infopredefined data types such as float or dateyesyes infoJSON typesyes infostring, integer, double, decimal, boolean, date, object_id, geospatial
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.no
Secondary indexesyesyes infoAll properties auto-indexed by defaultyes
SQL infoSupport of SQLnoSQL-like query languageRead-only SQL queries via the MongoDB Connector for BI
APIs and other access methodsJDBC
Proprietary protocol
DocumentDB API
Graph API (Gremlin)
MongoDB API
RESTful HTTP API
Table API
proprietary protocol using JSON
Supported programming languages.Net
C
C#
C++
Erlang
Go
Java
JavaScript (Node.js)
Lua
Perl
PHP
Python
Ruby
.Net
C#
Java
JavaScript
JavaScript (Node.js)
MongoDB client drivers written for various programming languages
Python
Actionscript infounofficial driver
C
C#
C++
Clojure infounofficial driver
ColdFusion infounofficial driver
D infounofficial driver
Dart infounofficial driver
Delphi infounofficial driver
Erlang
Go
Groovy infounofficial driver
Haskell
Java
JavaScript
Lisp infounofficial driver
Lua infounofficial driver
MatLab infounofficial driver
Perl
PHP
PowerShell infounofficial driver
Prolog infounofficial driver
Python
R infounofficial driver
Ruby
Rust
Scala
Smalltalk infounofficial driver
Swift
Server-side scripts infoStored proceduresuser defined functions infowith LuaJavaScriptJavaScript
TriggersnoJavaScriptyes infoin MongoDB Atlas only
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoImplicit feature of the cloud serviceSharding infoPartitioned by hashed, ranged, or zoned sharding keys. Live resharding allows users to change their shard keys as an online operation with zero downtime.
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factoryes infoImplicit feature of the cloud serviceMulti-Source deployments with MongoDB Atlas Global Clusters
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoAerospike Aggregation Framework is similar to Map/Reducewith Hadoop integration infoIntegration with Hadoop/HDInsight on Azure*yes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency in cross-datacenter configuration and Immediate Consistency in local cluster configurationBounded Staleness
Consistent Prefix
Eventual Consistency
Immediate Consistency infoConsistency level configurable on request level
Session Consistency
Eventual Consistency
Immediate Consistency infocan be individually decided for each write operation
Foreign keys infoReferential integritynonono infotypically not used, however similar functionality with DBRef possible
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of operationsMulti-item ACID transactions with snapshot isolation within a partitionMulti-document ACID Transactions with snapshot isolation
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes infooptional, enabled by default
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infoIn-memory storage engine introduced with MongoDB version 3.2
User concepts infoAccess controlAccess rights for users and roles infowith Enterprise Edition onlyAccess rights can be defined down to the item levelAccess rights for users and roles
More information provided by the system vendor
Aerospike infopreviously called CitrusleafMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDBMongoDB
Specific characteristicsAerospike is an enterprise-class, NoSQL database solution delivering predictable...
» more
Competitive advantagesOptimized for use with SSDs (solid-state hard drives) Scales horizontally and vertically...
» more
Typical application scenariosAerospike excels in mission-critical applications that have mixed read/write workloads...
» more
Key customersNielsen, Williams-Sonoma, Inmobi, AppNexus, Telco (confidential), Financial Services...
» more
Market metricsAerospike's combination of speed, scalability, and reliability delivers 10x performance...
» more
Licensing and pricing modelsSubscription-based Enterprise Edition and free, open-source Community Edition
» more
News

Real-time Data Platform Leader Releases Aerospike Connect for Elasticsearch
18 January 2023

Aerospike 6 on AWS Graviton2 Delivers 1.6x Improvement in Price-Performance
16 November 2022

Aerospike Announces Early Availability of Aerospike Cloud
2 November 2022

Aerospike Appoints Martin James to Lead EMEA
14 September 2022

Aerospike Named to Inc. 5000 List of Fastest-growing Companies in America
17 August 2022

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
Aerospike infopreviously called CitrusleafMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDBMongoDB
DB-Engines blog posts

Evaluating Hbase and Aerospike Solutions for Real-time System of Record
17 March 2020,  Srini Srinivasan, Aerospike (sponsor) 

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Snowflake is the DBMS of the Year 2021
3 January 2022, Paul Andlinger, Matthias Gelbmann

PostgreSQL is the DBMS of the Year 2020
4 January 2021, Paul Andlinger, Matthias Gelbmann

PostgreSQL is the DBMS of the Year 2018
2 January 2019, Paul Andlinger, Matthias Gelbmann

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Conferences and events

New Frontiers in SQL: Using Real-time Data and Document Databases in a Data Mesh
Webinar, 15 November 2022 (finished)

Recent citations in the news

Aerospike Releases Aerospike Connect for Elasticsearch
18 January 2023, Datanami

A Database For All Locations, Models, And Scales
27 January 2023, The Next Platform

Storage news ticker – January 23 – Blocks and Files
22 January 2023, Blocks and Files

Aerospike presents real-time data through hybrid memory architecture
16 January 2023, SiliconANGLE News

Micron Delivers High-Performance Data Center SSD to Power the ...
9 January 2023, Micron Investor Relations

provided by Google News

Learn To Build A Full Stack Application with Azure SQL And Prisma
13 January 2023, iProgrammer

Alert! Critical Vulnerability in Microsoft Azure Cosmos DB
3 November 2022, Data Center Knowledge

Microsoft Introduces Azure Cosmos DB for PostgreSQL
16 October 2022, InfoQ.com

Azure Cosmos DB: Low Latency and High Availability at Planet Scale
30 October 2022, InfoQ.com

Microsoft Announces PostgreSQL Option for Cosmos DB
12 October 2022, The New Stack

provided by Google News

MongoDB (MDB) Outpaces Stock Market Gains: What You Should ...
31 January 2023, Nasdaq

MongoDB, Inc. (NASDAQ:MDB) Shares Acquired by Bank Julius ...
26 January 2023, MarketBeat

Why Datadog, MongoDB, and CrowdStrike Were Sinking Today
25 January 2023, The Motley Fool

Premarket Mover: Mongodb Inc (MDB) Down 2.44%
25 January 2023, InvestorsObserver

Satori Expands Support to NoSQL Databases, Streamlines Secure ...
19 January 2023, Datanami

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