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DBMS > Aerospike vs. Amazon CloudSearch vs. HEAVY.AI vs. MongoDB vs. Oracle Berkeley DB

System Properties Comparison Aerospike vs. Amazon CloudSearch vs. HEAVY.AI vs. MongoDB vs. Oracle Berkeley DB

Editorial information provided by DB-Engines
NameAerospike infopreviously called Citrusleaf  Xexclude from comparisonAmazon CloudSearch  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonMongoDB  Xexclude from comparisonOracle Berkeley DB  Xexclude from comparison
DescriptionFlash-optimized In-memory NoSQL DatabaseA hosted search engine service by Amazon with the data stored in Amazons cloudA high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareOne of the most popular document stores available both as a fully managed cloud service and for deployment on self-managed infrastructureWidely used in-process key-value store
Primary database modelDocument store
Graph DBMS infoleveraging Apache Tinkerpop
Key-value store
Spatial DBMS
Search engineRelational DBMSDocument storeKey-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
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
Vector DBMS infocurrently available in the MongoDB Atlas cloud service only
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score5.78
Rank#61  Overall
#11  Document stores
#3  Graph DBMS
#7  Key-value stores
#2  Spatial DBMS
Score1.85
Rank#137  Overall
#12  Search engines
Score1.77
Rank#141  Overall
#65  Relational DBMS
Score421.65
Rank#5  Overall
#1  Document stores
Score2.21
Rank#117  Overall
#20  Key-value stores
#3  Native XML DBMS
Websiteaerospike.comaws.amazon.com/­cloudsearchgithub.com/­heavyai/­heavydb
www.heavy.ai
www.mongodb.comwww.oracle.com/­database/­technologies/­related/­berkeleydb.html
Technical documentationdocs.aerospike.comdocs.aws.amazon.com/­cloudsearchdocs.heavy.aiwww.mongodb.com/­docs/­manualdocs.oracle.com/­cd/­E17076_05/­html/­index.html
Social network pagesLinkedInTwitterFacebookYouTube
DeveloperAerospikeAmazonHEAVY.AI, Inc.MongoDB, IncOracle infooriginally developed by Sleepycat, which was acquired by Oracle
Initial release20122012201620091994
Current release7.0, November 20235.10, January 20226.0.7, June 202318.1.40, May 2020
License infoCommercial or Open SourceOpen Source infoApache and AGPL Licenses; open sourced in June 2014; commercial Enterprise Edition availablecommercialOpen Source infoApache Version 2; enterprise edition availableOpen Source infoMongoDB Inc.'s Server Side Public License v1. Prior versions were published under GNU AGPL v3.0. Commercial licenses are also available.Open Source infocommercial license available
Cloud-based only infoOnly available as a cloud servicenoyesnono infoMongoDB available as DBaaS (MongoDB Atlas)no
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
MongoDB Atlas: Global multi-cloud database with unmatched data distribution and mobility across AWS, Azure, and Google Cloud, built-in automation for resource and workload optimization, and so much more.
Implementation languageCC++ and CUDAC++C, Java, C++ (depending on the Berkeley DB edition)
Server operating systemsLinuxhostedLinuxLinux
OS X
Solaris
Windows
AIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
Data schemeschema-freeyesyesschema-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.schema-free
Typing infopredefined data types such as float or dateyesyesyesyes infostring, integer, double, decimal, boolean, date, object_id, geospatialno
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.nonoyes infoonly with the Berkeley DB XML edition
Secondary indexesyesyes infoall search fields are automatically indexednoyesyes
SQL infoSupport of SQLnonoyesRead-only SQL queries via the MongoDB Atlas SQL Interfaceyes infoSQL interfaced based on SQLite is available
APIs and other access methodsJDBC
Proprietary protocol
TinkerPop Gremlin
HTTP APIJDBC
ODBC
Thrift
Vega
GraphQL
HTTP REST
Prisma
proprietary protocol using JSON
Supported programming languages.Net
C
C#
C++
Erlang
Go
Java
JavaScript (Node.js)
Lua
Perl
PHP
Python
Ruby
All languages supporting JDBC/ODBC/Thrift
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
Kotlin
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
.Net infoFigaro is a .Net framework assembly that extends Berkeley DB XML into an embeddable database engine for .NET
others infoThird-party libraries to manipulate Berkeley DB files are available for many languages
C
C#
C++
Java
JavaScript (Node.js) info3rd party binding
Perl
Python
Tcl
Server-side scripts infoStored proceduresuser defined functions infowith LuanonoJavaScriptno
Triggersnononoyes infoin MongoDB Atlas onlyyes infoonly for the SQL API
Partitioning methods infoMethods for storing different data on different nodesShardingyes infoautomatic partitioning across Amazon Search Instance as requiredSharding infoRound robinSharding infoPartitioned by hashed, ranged, or zoned sharding keys. Live resharding allows users to change their shard keys as an online operation with zero downtime.none
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factoryes infomanaged transparently by AWSMulti-source replicationMulti-Source deployments with MongoDB Atlas Global Clusters
Source-replica replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoAerospike Aggregation Framework is similar to Map/Reducenonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency in cross-datacenter configuration and Immediate Consistency in local cluster configurationImmediate ConsistencyEventual Consistency infocan be individually decided for each read operation
Immediate Consistency infodefault behaviour
Foreign keys infoReferential integritynononono infotypically not used, however similar functionality with DBRef possibleno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of operationsnonoMulti-document ACID Transactions with snapshot isolationACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infooptional, enabled by defaultyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes infoIn-memory storage engine introduced with MongoDB version 3.2yes
User concepts infoAccess controlAccess rights for users and roles infowith Enterprise Edition onlyauthentication via encrypted signaturesfine grained access rights according to SQL-standardAccess rights for users and rolesno
More information provided by the system vendor
Aerospike infopreviously called CitrusleafAmazon CloudSearchHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022MongoDBOracle Berkeley DB
Specific characteristicsAerospike is an enterprise-class, NoSQL database solution delivering predictable...
» more
MongoDB provides an integrated suite of cloud database and data services to accelerate...
» more
Competitive advantagesOptimized for use with SSDs (solid-state hard drives) Scales horizontally and vertically...
» more
Built around the flexible document data model and unified API, MongoDB is a developer...
» more
Typical application scenariosAerospike excels in mission-critical applications that have mixed read/write workloads...
» more
AI-enriched intelligent apps (Continental, Telefonica, Iron Mountain) Internet of...
» more
Key customersNielsen, Williams-Sonoma, Inmobi, AppNexus, Telco (confidential), Financial Services...
» more
ADP, Adobe, Amadeus, AstraZeneca, Auto Trader, Barclays, BBVA, Bosch, Cisco, CERN,...
» more
Market metricsAerospike's combination of speed, scalability, and reliability delivers 10x performance...
» more
Hundreds of millions downloads, over 150,000+ Atlas clusters provisioned every month...
» more
Licensing and pricing modelsSubscription-based Enterprise Edition and free, open-source Community Edition
» more
MongoDB database server: Server-Side Public License (SSPL) . Commercial licenses...
» more
News

Aerospike Recognized by Independent Research Firm Among Notable Vendors in Vector Databases Report
7 May 2024

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

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

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More resources
Aerospike infopreviously called CitrusleafAmazon CloudSearchHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022MongoDBOracle Berkeley DB
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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 Raises $109M For Accelerated Database Development, Market Expansion
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Amazon CloudSearch – Start Searching in One Hour for Less Than $100 / Month | Amazon Web Services
12 April 2012, AWS Blog

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24 January 2014, TechTarget

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24 March 2014, AWS Blog

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