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DBMS > Amazon Neptune vs. Datomic vs. InterSystems Caché vs. LevelDB vs. ObjectBox

System Properties Comparison Amazon Neptune vs. Datomic vs. InterSystems Caché vs. LevelDB vs. ObjectBox

Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonDatomic  Xexclude from comparisonInterSystems Caché  Xexclude from comparisonLevelDB  Xexclude from comparisonObjectBox  Xexclude from comparison
Caché is a deprecated database engine which is substituted with InterSystems IRIS. It therefore is removed from the DB-Engines Ranking.
DescriptionFast, reliable graph database built for the cloudDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityA multi-model DBMS and application serverEmbeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesExtremely fast embedded database for small devices, IoT and Mobile
Primary database modelGraph DBMS
RDF store
Relational DBMSKey-value store
Object oriented DBMS
Relational DBMS
Key-value storeObject oriented DBMS
Secondary database modelsDocument storeTime Series 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
Score1.59
Rank#150  Overall
#69  Relational DBMS
Score2.35
Rank#111  Overall
#19  Key-value stores
Score1.20
Rank#170  Overall
#5  Object oriented DBMS
Websiteaws.amazon.com/­neptunewww.datomic.comwww.intersystems.com/­products/­cachegithub.com/­google/­leveldbobjectbox.io
Technical documentationaws.amazon.com/­neptune/­developer-resourcesdocs.datomic.comdocs.intersystems.comgithub.com/­google/­leveldb/­blob/­main/­doc/­index.mddocs.objectbox.io
DeveloperAmazonCognitectInterSystemsGoogleObjectBox Limited
Initial release20172012199720112017
Current release1.0.6735, June 20232018.1.4, May 20201.23, February 2021
License infoCommercial or Open Sourcecommercialcommercial infolimited edition freecommercialOpen Source infoBSDOpen Source infoApache License 2.0
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, ClojureC++C and C++
Server operating systemshostedAll OS with a Java VMAIX
HP Open VMS
HP-UX
Linux
OS X
Solaris
Windows
Illumos
Linux
OS X
Windows
Android
iOS
Linux
macOS
Windows
Data schemeschema-freeyesdepending on used data modelschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesnoyes
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.nonoyesnono
Secondary indexesnoyesyesnoyes
SQL infoSupport of SQLnonoyesnono
APIs and other access methodsOpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
RESTful HTTP API.NET Client API
JDBC
ODBC
RESTful HTTP API
Proprietary native API
Supported programming languagesC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
Clojure
Java
C#
C++
Java
C++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
C
C++
Dart
Go
Java
JavaScript infoplanned (as of Jan 2019)
Kotlin
Python infoplanned (as of Jan 2019)
Swift
Server-side scripts infoStored proceduresnoyes infoTransaction Functionsyesnono
TriggersnoBy using transaction functionsyesnono
Partitioning methods infoMethods for storing different data on different nodesnonenone infoBut extensive use of caching in the application peersnonenonenone
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.none infoBut extensive use of caching in the application peersSource-replica replicationnoneonline/offline synchronization between client and server
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoRelationships in graphsnoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyes infowith encyption-at-restyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyes infowith automatic compression on writesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes inforecommended only for testing and developmentyesno
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)noAccess rights for users, groups and rolesnoyes
More information provided by the system vendor
Amazon NeptuneDatomicInterSystems CachéLevelDBObjectBox
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