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DBMS > Amazon Neptune vs. InfinityDB vs. Riak KV vs. SAP SQL Anywhere

System Properties Comparison Amazon Neptune vs. InfinityDB vs. Riak KV vs. SAP SQL Anywhere

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Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonInfinityDB  Xexclude from comparisonRiak KV  Xexclude from comparisonSAP SQL Anywhere infoformerly called Adaptive Server Anywhere  Xexclude from comparison
DescriptionFast, reliable graph database built for the cloudA Java embedded Key-Value Store which extends the Java Map interfaceDistributed, fault tolerant key-value storeRDBMS database and synchronization technologies for server, desktop, remote office, and mobile environments
Primary database modelGraph DBMS
RDF store
Key-value storeKey-value store infowith links between data sets and object tags for the creation of secondary indexesRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.20
Rank#119  Overall
#9  Graph DBMS
#5  RDF stores
Score0.00
Rank#378  Overall
#57  Key-value stores
Score4.10
Rank#82  Overall
#9  Key-value stores
Score4.25
Rank#79  Overall
#43  Relational DBMS
Websiteaws.amazon.com/­neptuneboilerbay.comwww.sap.com/­products/­technology-platform/­sql-anywhere.html
Technical documentationaws.amazon.com/­neptune/­developer-resourcesboilerbay.com/­infinitydb/­manualwww.tiot.jp/­riak-docs/­riak/­kv/­latesthelp.sap.com/­docs/­SAP_SQL_Anywhere
DeveloperAmazonBoiler Bay Inc.OpenSource, formerly Basho TechnologiesSAP infoformerly Sybase
Initial release2017200220091992
Current release4.03.2.0, December 202217, July 2015
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache version 2, commercial enterprise editioncommercial
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaErlang
Server operating systemshostedAll OS with a Java VMLinux
OS X
AIX
HP-UX
Linux
OS X
Solaris
Windows
Data schemeschema-freeyes infonested virtual Java Maps, multi-value, logical ‘tuple space’ runtime Schema upgradeschema-freeyes
Typing infopredefined data types such as float or dateyesyes infoall Java primitives, Date, CLOB, BLOB, huge sparse arraysnoyes
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.nononoyes
Secondary indexesnono infomanual creation possible, using inversions based on multi-value capabilityrestrictedyes
SQL infoSupport of SQLnononoyes
APIs and other access methodsOpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
Access via java.util.concurrent.ConcurrentNavigableMap Interface
Proprietary API to InfinityDB ItemSpace (boilerbay.com/­docs/­ItemSpaceDataStructures.htm)
HTTP API
Native Erlang Interface
ADO.NET
HTTP API
JDBC
ODBC
Supported programming languagesC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
JavaC infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
C
C#
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresnonoErlangyes, in C/C++, Java, .Net or Perl
Triggersnonoyes infopre-commit hooks and post-commit hooksyes
Partitioning methods infoMethods for storing different data on different nodesnonenoneSharding infono "single point of failure"none
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.noneselectable replication factorSource-replica replication infoDatabase mirroring
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency infoREAD-COMMITTED or SERIALIZEDEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoRelationships in graphsno infomanual creation possible, using inversions based on multi-value capabilityno infolinks between data sets can be storedyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID infoOptimistic locking for transactions; no isolation for bulk loadsnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes infowith encyption-at-restyesyesyes
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)noyes, using Riak Securityfine grained access rights according to SQL-standard

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More resources
Amazon NeptuneInfinityDBRiak KVSAP SQL Anywhere infoformerly called Adaptive Server Anywhere
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