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DBMS > Amazon DynamoDB vs. Memcached vs. Microsoft Azure Cosmos DB vs. Neo4j vs. Sphinx

System Properties Comparison Amazon DynamoDB vs. Memcached vs. Microsoft Azure Cosmos DB vs. Neo4j vs. Sphinx

Editorial information provided by DB-Engines
NameAmazon DynamoDB  Xexclude from comparisonMemcached  Xexclude from comparisonMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDB  Xexclude from comparisonNeo4j  Xexclude from comparisonSphinx  Xexclude from comparison
DescriptionHosted, scalable database service by Amazon with the data stored in Amazons cloudIn-memory key-value store, originally intended for cachingGlobally distributed, horizontally scalable, multi-model database serviceScalable, ACID-compliant graph database designed with a high-performance distributed cluster architecture, available in self-hosted and cloud offeringsOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelDocument store
Key-value store
Key-value storeDocument store
Graph DBMS
Key-value store
Wide column store
Graph DBMSSearch engine
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score74.07
Rank#17  Overall
#3  Document stores
#2  Key-value stores
Score19.42
Rank#32  Overall
#4  Key-value stores
Score29.04
Rank#27  Overall
#4  Document stores
#2  Graph DBMS
#3  Key-value stores
#3  Wide column stores
Score44.46
Rank#23  Overall
#1  Graph DBMS
Score5.98
Rank#56  Overall
#5  Search engines
Websiteaws.amazon.com/­dynamodbwww.memcached.orgazure.microsoft.com/­services/­cosmos-dbneo4j.comsphinxsearch.com
Technical documentationdocs.aws.amazon.com/­dynamodbgithub.com/­memcached/­memcached/­wikilearn.microsoft.com/­azure/­cosmos-dbneo4j.com/­docssphinxsearch.com/­docs
DeveloperAmazonDanga Interactive infooriginally developed by Brad Fitzpatrick for LiveJournalMicrosoftNeo4j, Inc.Sphinx Technologies Inc.
Initial release20122003201420072001
Current release1.6.25, March 20245.19, April 20243.5.1, February 2023
License infoCommercial or Open Sourcecommercial infofree tier for a limited amount of database operationsOpen Source infoBSD licensecommercialOpen Source infoGPL version3, commercial licenses availableOpen Source infoGPL version 2, commercial licence available
Cloud-based only infoOnly available as a cloud serviceyesnoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Neo4j Aura: Neo4j’s fully managed cloud service: The zero-admin, always-on graph database for cloud developers.
Implementation languageCJava, ScalaC++
Server operating systemshostedFreeBSD
Linux
OS X
Unix
Windows
hostedLinux infoCan also be used server-less as embedded Java database.
OS X
Solaris
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeschema-freeschema-freeschema-freeschema-free and schema-optionalyes
Typing infopredefined data types such as float or dateyesnoyes infoJSON typesyesno
Secondary indexesyesnoyes infoAll properties auto-indexed by defaultyes infopluggable indexing subsystem, by default Apache Luceneyes infofull-text index on all search fields
SQL infoSupport of SQLnonoSQL-like query languagenoSQL-like query language (SphinxQL)
APIs and other access methodsRESTful HTTP APIProprietary protocolDocumentDB API
Graph API (Gremlin)
MongoDB API
RESTful HTTP API
Table API
Bolt protocol
Cypher query language
Java API
Neo4j-OGM infoObject Graph Mapper
RESTful HTTP API
Spring Data Neo4j
TinkerPop 3
Proprietary protocol
Supported programming languages.Net
ColdFusion
Erlang
Groovy
Java
JavaScript
Perl
PHP
Python
Ruby
.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
Perl
PHP
Python
Ruby
.Net
C#
Java
JavaScript
JavaScript (Node.js)
MongoDB client drivers written for various programming languages
Python
.Net
Clojure
Elixir
Go
Groovy
Haskell
Java
JavaScript
Perl
PHP
Python
Ruby
Scala
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresnonoJavaScriptyes infoUser defined Procedures and Functionsno
Triggersyes infoby integration with AWS LambdanoJavaScriptyes infovia event handlerno
Partitioning methods infoMethods for storing different data on different nodesShardingnoneSharding infoImplicit feature of the cloud serviceyes using Neo4j FabricSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesyesnone infoRepcached, a Memcached patch, provides this functionallityyes infoImplicit feature of the cloud serviceCausal Clustering using Raft protocol infoavailable in in Enterprise Version onlynone
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)nowith Hadoop integration infoIntegration with Hadoop/HDInsight on Azure*nono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
Bounded Staleness
Consistent Prefix
Eventual Consistency
Immediate Consistency infoConsistency level configurable on request level
Session Consistency
Causal and Eventual Consistency configurable in Causal Cluster setup
Immediate Consistency in stand-alone mode
Foreign keys infoReferential integritynononoyes infoRelationships in graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoACID across one or more tables within a single AWS account and regionnoMulti-item ACID transactions with snapshot isolation within a partitionACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesnoyesyesyes infoThe original contents of fields are not stored in the Sphinx index.
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)yes infousing SASL (Simple Authentication and Security Layer) protocolAccess rights can be defined down to the item levelUsers, roles and permissions. Pluggable authentication with supported standards (LDAP, Active Directory, Kerberos)no
More information provided by the system vendor
Amazon DynamoDBMemcachedMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDBNeo4jSphinx
Specific characteristicsNeo4j delivers graph technology that has been battle tested for performance and scale...
» more
Competitive advantagesNeo4j is the market leader, graph database category creator, and the most widely...
» more
Typical application scenariosReal-Time Recommendations Master Data Management Identity and Access Management Network...
» more
Key customersOver 800 commercial customers and over 4300 startups use Neo4j. Flagship customers...
» more
Market metricsNeo4j boasts the world's largest graph database ecosystem with more than 140 million...
» more
Licensing and pricing modelsGPL v3 license that can be used all the places where you might use MySQL. Neo4j Commercial...
» more
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