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DBMS > Amazon Neptune vs. Amazon SimpleDB vs. Apache Druid vs. Rockset vs. SAP SQL Anywhere

System Properties Comparison Amazon Neptune vs. Amazon SimpleDB vs. Apache Druid vs. Rockset vs. SAP SQL Anywhere

Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonAmazon SimpleDB  Xexclude from comparisonApache Druid  Xexclude from comparisonRockset  Xexclude from comparisonSAP SQL Anywhere infoformerly called Adaptive Server Anywhere  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 ScioreOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataA scalable, reliable search and analytics service in the cloud, built on RocksDBRDBMS database and synchronization technologies for server, desktop, remote office, and mobile environments
Primary database modelGraph DBMS
RDF store
Key-value storeRelational DBMS
Time Series DBMS
Document storeRelational DBMS
Secondary database modelsRelational DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.20
Rank#119  Overall
#9  Graph DBMS
#5  RDF stores
Score1.85
Rank#138  Overall
#24  Key-value stores
Score3.34
Rank#88  Overall
#48  Relational DBMS
#7  Time Series DBMS
Score0.79
Rank#211  Overall
#35  Document stores
Score4.25
Rank#79  Overall
#43  Relational DBMS
Websiteaws.amazon.com/­neptuneaws.amazon.com/­simpledbdruid.apache.orgrockset.comwww.sap.com/­products/­technology-platform/­sql-anywhere.html
Technical documentationaws.amazon.com/­neptune/­developer-resourcesdocs.aws.amazon.com/­simpledbdruid.apache.org/­docs/­latest/­designdocs.rockset.comhelp.sap.com/­docs/­SAP_SQL_Anywhere
DeveloperAmazonAmazonApache Software Foundation and contributorsRocksetSAP infoformerly Sybase
Initial release20172007201220191992
Current release29.0.1, April 202417, July 2015
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache license v2commercialcommercial
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 languageJavaC++
Server operating systemshostedhostedLinux
OS X
Unix
hostedAIX
HP-UX
Linux
OS X
Solaris
Windows
Data schemeschema-freeschema-freeyes infoschema-less columns are supportedschema-freeyes
Typing infopredefined data types such as float or dateyesnoyesdynamic typingyes
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 infoingestion from XML files supportedyes
Secondary indexesnoyes infoAll columns are indexed automaticallyyesall fields are automatically indexedyes
SQL infoSupport of SQLnonoSQL for queryingRead-only SQL queries, including JOINsyes
APIs and other access methodsOpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
RESTful HTTP APIJDBC
RESTful HTTP/JSON API
HTTP RESTADO.NET
HTTP API
JDBC
ODBC
Supported programming languagesC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
.Net
C
C++
Erlang
Java
PHP
Python
Ruby
Scala
Clojure
JavaScript
PHP
Python
R
Ruby
Scala
Go
Java
JavaScript (Node.js)
Python
C
C#
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresnonononoyes, in C/C++, Java, .Net or Perl
Triggersnonononoyes
Partitioning methods infoMethods for storing different data on different nodesnonenone infoSharding must be implemented in the applicationSharding infomanual/auto, time-basedAutomatic shardingnone
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, via HDFS, S3 or other storage enginesyesSource-replica replication infoDatabase mirroring
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency infocan be specified for read operations
Immediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoRelationships in graphsnononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno infoConcurrent data updates can be detected by the applicationnonoACID
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.noyes
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)RBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemAccess rights for users and organizations can be defined via Rockset consolefine grained access rights according to SQL-standard

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More resources
Amazon NeptuneAmazon SimpleDBApache DruidRocksetSAP SQL Anywhere infoformerly called Adaptive Server Anywhere
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