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DBMS > Aerospike vs. Amazon DocumentDB vs. Microsoft Azure AI Search

System Properties Comparison Aerospike vs. Amazon DocumentDB vs. Microsoft Azure AI Search

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Editorial information provided by DB-Engines
NameAerospike infopreviously called Citrusleaf  Xexclude from comparisonAmazon DocumentDB  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparison
DescriptionFlash-optimized In-memory NoSQL DatabaseFast, scalable, highly available, and fully managed MongoDB-compatible database serviceSearch-as-a-service for web and mobile app development
Primary database modelDocument store
Graph DBMS infoleveraging Apache Tinkerpop
Key-value store
Spatial DBMS
Document storeSearch engine
Secondary database modelsVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score6.10
Rank#59  Overall
#11  Document stores
#3  Graph DBMS
#7  Key-value stores
#2  Spatial DBMS
Score1.89
Rank#137  Overall
#24  Document stores
Score5.71
Rank#64  Overall
#8  Search engines
Websiteaerospike.comaws.amazon.com/­documentdbazure.microsoft.com/­en-us/­services/­search
Technical documentationdocs.aerospike.comaws.amazon.com/­documentdb/­resourceslearn.microsoft.com/­en-us/­azure/­search
Social network pagesLinkedInTwitterFacebookYouTube
DeveloperAerospikeMicrosoft
Initial release201220192015
Current release7.0, November 2023V1
License infoCommercial or Open SourceOpen Source infoApache and AGPL Licenses; open sourced in June 2014; commercial Enterprise Edition availablecommercialcommercial
Cloud-based only infoOnly available as a cloud servicenoyesyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC
Server operating systemsLinuxhostedhosted
Data schemeschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyesyes
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.nonono
Secondary indexesyesyesyes
SQL infoSupport of SQLnonono
APIs and other access methodsJDBC
Proprietary protocol
TinkerPop Gremlin
proprietary protocol using JSON (MongoDB compatible)RESTful HTTP API
Supported programming languages.Net
C
C#
C++
Erlang
Go
Java
JavaScript (Node.js)
Lua
Perl
PHP
Python
Ruby
Go
Java
JavaScript (Node.js)
PHP
Python
C#
Java
JavaScript
Python
Server-side scripts infoStored proceduresuser defined functions infowith Luanono
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesShardingnoneSharding infoImplicit feature of the cloud service
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasyes infoImplicit feature of the cloud service
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoAerospike Aggregation Framework is similar to Map/Reduceno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)no
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency in cross-datacenter configuration and Immediate Consistency in local cluster configurationImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynono infotypically not used, however similar functionality with DBRef possibleno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of operationsAtomic single-document operationsno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlAccess rights for users and roles infowith Enterprise Edition onlyAccess rights for users and rolesyes infousing Azure authentication
More information provided by the system vendor
Aerospike infopreviously called CitrusleafAmazon DocumentDBMicrosoft Azure AI Search
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

Aerospike Closes $109M in Growth Capital from Sumeru Equity Partners
4 April 2024

Aerospike Achieves the new AWS Advertising and Marketing Technology Competency
30 November 2023

Aerospike Showcases New Levels of Database Performance, Price, and Sustainability on Graviton3 at AWS re:Invent
28 November 2023

Aerospike Database 7 Delivers Enterprise Resiliency, Scale, and Speed to In-memory Database Workloads
15 November 2023

Aerospike Listed as Sample Vendor in Gartner® Hype Cycle™ for Data Management, 2023
24 October 2023

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services

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More resources
Aerospike infopreviously called CitrusleafAmazon DocumentDBMicrosoft Azure AI Search
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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Recent citations in the news

Aerospike raises $109M for its real-time database platform to capitalize on the AI boom
4 April 2024, TechCrunch

Aerospike set to grow real time database for AI with $109M raise
4 April 2024, VentureBeat

Aerospike reels in $109M to accelerate its high-speed database
4 April 2024, SiliconANGLE News

Aerospike raises $114M to fuel database innovation for GenAI
4 April 2024, TechTarget

Aerospike Nabs $109M to Grow Data Biz Turbocharged by AI
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provided by Google News

Reduce cost and improve performance by migrating to Amazon DocumentDB 5.0 | Amazon Web Services
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10 April 2024, AWS Blog

Vector search for Amazon DocumentDB (with MongoDB compatibility) is now generally available | Amazon Web Services
29 November 2023, AWS Blog

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27 March 2024, AWS Blog

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25 January 2024, AWS Blog

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Announcing updates to Azure AI Search to help organizations build and scale generative AI applications
4 April 2024, Microsoft

Public Preview of Azure OpenAI and AI Search in-app connectors for Logic Apps (Standard) | Azure updates
2 April 2024, Microsoft

Microsoft’s Azure AI Search updated with increased storage, vector index size
5 April 2024, InfoWorld

Microsoft Azure AI adds storage power, large RAG app support
5 April 2024, VentureBeat

Microsoft Azure AI Search just got a massive storage increase - here's what you need to know
8 April 2024, ITPro

provided by Google News



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