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DBMS > Amazon Neptune vs. BigObject vs. dBASE vs. Elasticsearch vs. RDFox

System Properties Comparison Amazon Neptune vs. BigObject vs. dBASE vs. Elasticsearch vs. RDFox

Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonBigObject  Xexclude from comparisondBASE  Xexclude from comparisonElasticsearch  Xexclude from comparisonRDFox  Xexclude from comparison
DescriptionFast, reliable graph database built for the cloudAnalytic DBMS for real-time computations and queriesdBase was one of the first databases with a development environment on PC's. Its latest version dBase V is still sold as dBase classic, which needs a DOS Emulation. The up-to-date product is dBase plus.A distributed, RESTful modern search and analytics engine based on Apache Lucene infoElasticsearch lets you perform and combine many types of searches such as structured, unstructured, geo, and metricHigh performance knowledge graph and semantic reasoning engine
Primary database modelGraph DBMS
RDF store
Relational DBMS infoa hierachical model (tree) can be imposedRelational DBMSSearch engineGraph DBMS
RDF store
Secondary database modelsDocument store
Spatial DBMS
Vector DBMS
Relational 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
Score0.19
Rank#329  Overall
#146  Relational DBMS
Score9.70
Rank#44  Overall
#28  Relational DBMS
Score132.83
Rank#7  Overall
#1  Search engines
Score0.29
Rank#300  Overall
#24  Graph DBMS
#13  RDF stores
Websiteaws.amazon.com/­neptunebigobject.iowww.dbase.comwww.elastic.co/­elasticsearchwww.oxfordsemantic.tech
Technical documentationaws.amazon.com/­neptune/­developer-resourcesdocs.bigobject.iowww.dbase.com/­support/­knowledgebasewww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmldocs.oxfordsemantic.tech
DeveloperAmazonBigObject, Inc.Asthon TateElasticOxford Semantic Technologies
Initial release20172015197920102017
Current releasedBASE 2019, 20198.6, January 20236.0, Septermber 2022
License infoCommercial or Open Sourcecommercialcommercial infofree community edition availablecommercialOpen Source infoElastic Licensecommercial
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 languageJavaC++
Server operating systemshostedLinux infodistributed as a docker-image
OS X infodistributed as a docker-image (boot2docker)
Windows infodistributed as a docker-image (boot2docker)
DOS infodBase Classic
Windows infodBase Pro
All OS with a Java VMLinux
macOS
Windows
Data schemeschema-freeyesyesschema-free infoFlexible type definitions. Once a type is defined, it is persistentyes infoRDF schemas
Typing infopredefined data types such as float or dateyesyesyesyesyes
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
Secondary indexesnoyesyesyes infoAll search fields are automatically indexed
SQL infoSupport of SQLnoSQL-like DML and DDL statementsnoSQL-like query languageno
APIs and other access methodsOpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
fluentd
ODBC
RESTful HTTP API
none infoThe IDE can access other DBMS or ODBC-sources.Java API
RESTful HTTP/JSON API
RESTful HTTP API
SPARQL 1.1
Supported programming languagesC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
dBase proprietary IDE.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
C
Java
Server-side scripts infoStored proceduresnoLuano infoThe IDE can access stored procedures in other database systems.yes
Triggersnononoyes infoby using the 'percolation' feature
Partitioning methods infoMethods for storing different data on different nodesnonenonenoneSharding
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.nonenoneyesreplication via a shared file system
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoES-Hadoop Connector
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencynoneEventual Consistency infoSynchronous doc based replication. Get by ID may show delays up to 1 sec. Configurable write consistency: one, quorum, allImmediate Consistency in stand-alone mode, Eventual Consistency in replicated setups
Foreign keys infoReferential integrityyes infoRelationships in graphsyes infoautomatically between fact table and dimension tablesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnono infonot for dBase internal data, but IDE does support transactions when accessing external DBMSnoACID
Concurrency infoSupport for concurrent manipulation of datayesyes infoRead/write lock on objects (tables, trees)yesyes
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.yesMemcached and Redis integrationyes
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)noAccess rights for users and rolesRoles, resources, and access types

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More resources
Amazon NeptuneBigObjectdBASEElasticsearchRDFox
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