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DBMS > Amazon Neptune vs. Amazon SimpleDB vs. Ignite vs. Microsoft Azure AI Search vs. STSdb

System Properties Comparison Amazon Neptune vs. Amazon SimpleDB vs. Ignite vs. Microsoft Azure AI Search vs. STSdb

Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonAmazon SimpleDB  Xexclude from comparisonIgnite  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonSTSdb  Xexclude from comparison
DescriptionFast, reliable graph database built for the cloudHosted simple database service by Amazon, with the data stored in the Amazon Cloud. infoThere is an unrelated product called SimpleDB developed by Edward ScioreApache Ignite is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads, delivering in-memory speeds at petabyte scale.Search-as-a-service for web and mobile app developmentKey-Value Store with special method for indexing infooptimized for high performance using a special indexing method
Primary database modelGraph DBMS
RDF store
Key-value storeKey-value store
Relational DBMS
Search engineKey-value store
Secondary database modelsVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.29
Rank#113  Overall
#9  Graph DBMS
#5  RDF stores
Score1.88
Rank#133  Overall
#23  Key-value stores
Score3.11
Rank#96  Overall
#15  Key-value stores
#49  Relational DBMS
Score5.52
Rank#59  Overall
#6  Search engines
Score0.10
Rank#357  Overall
#51  Key-value stores
Websiteaws.amazon.com/­neptuneaws.amazon.com/­simpledbignite.apache.orgazure.microsoft.com/­en-us/­services/­searchgithub.com/­STSSoft/­STSdb4
Technical documentationaws.amazon.com/­neptune/­developer-resourcesdocs.aws.amazon.com/­simpledbapacheignite.readme.io/­docslearn.microsoft.com/­en-us/­azure/­search
DeveloperAmazonAmazonApache Software FoundationMicrosoftSTS Soft SC
Initial release20172007201520152011
Current releaseApache Ignite 2.6V14.0.8, September 2015
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache 2.0commercialOpen Source infoGPLv2, commercial license available
Cloud-based only infoOnly available as a cloud serviceyesyesnoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++, Java, .NetC#
Server operating systemshostedhostedLinux
OS X
Solaris
Windows
hostedWindows
Data schemeschema-freeschema-freeyesyesyes
Typing infopredefined data types such as float or dateyesnoyesyesyes infoprimitive types and user defined types (classes)
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.noyesno
Secondary indexesnoyes infoAll columns are indexed automaticallyyesyesno
SQL infoSupport of SQLnonoANSI-99 for query and DML statements, subset of DDLnono
APIs and other access methodsOpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
RESTful HTTP APIHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
RESTful HTTP API.NET Client API
Supported programming languagesC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
.Net
C
C++
Erlang
Java
PHP
Python
Ruby
Scala
C#
C++
Java
PHP
Python
Ruby
Scala
C#
Java
JavaScript
Python
C#
Java
Server-side scripts infoStored proceduresnonoyes (compute grid and cache interceptors can be used instead)nono
Triggersnonoyes (cache interceptors and events)nono
Partitioning methods infoMethods for storing different data on different nodesnonenone infoSharding must be implemented in the applicationShardingSharding infoImplicit feature of the cloud servicenone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones high availability, asynchronous replication for up to 15 read replicas within a single region. Global database clusters consists of a primary write DB cluster in one region, and up to five secondary read DB clusters in different regions. Each secondary region can have up to 16 reader instances.yesyes (replicated cache)yes infoImplicit feature of the cloud servicenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes (compute grid and hadoop accelerator)nono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency infocan be specified for read operations
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoRelationships in graphsnononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno infoConcurrent data updates can be detected by the applicationACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyes infowith encyption-at-restyesyesyesyes
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 can be defined via the AWS Identity and Access Management (IAM)Access rights for users and roles can be defined via the AWS Identity and Access Management (IAM)Security Hooks for custom implementationsyes infousing Azure authenticationno

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More resources
Amazon NeptuneAmazon SimpleDBIgniteMicrosoft Azure AI SearchSTSdb
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