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DBMS > Amazon Neptune vs. Apache Jena - TDB vs. GeoMesa vs. Google Cloud Bigtable vs. TerminusDB

System Properties Comparison Amazon Neptune vs. Apache Jena - TDB vs. GeoMesa vs. Google Cloud Bigtable vs. TerminusDB

Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonApache Jena - TDB  Xexclude from comparisonGeoMesa  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonTerminusDB infoformer name was DataChemist  Xexclude from comparison
DescriptionFast, reliable graph database built for the cloudA RDF storage and query DBMS, shipped as an optional-use component of the Apache Jena frameworkGeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.Google's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.Scalable Graph Database platform making enterprise data available by exploiting inferred entities and relationships
Primary database modelGraph DBMS
RDF store
RDF storeSpatial DBMSKey-value store
Wide column store
Graph DBMS
Secondary database modelsDocument store
RDF store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.20
Rank#119  Overall
#9  Graph DBMS
#5  RDF stores
Score3.75
Rank#84  Overall
#3  RDF stores
Score0.78
Rank#213  Overall
#4  Spatial DBMS
Score3.26
Rank#92  Overall
#13  Key-value stores
#8  Wide column stores
Score0.17
Rank#325  Overall
#29  Graph DBMS
Websiteaws.amazon.com/­neptunejena.apache.org/­documentation/­tdb/­index.htmlwww.geomesa.orgcloud.google.com/­bigtableterminusdb.com
Technical documentationaws.amazon.com/­neptune/­developer-resourcesjena.apache.org/­documentation/­tdb/­index.htmlwww.geomesa.org/­documentation/­stable/­user/­index.htmlcloud.google.com/­bigtable/­docsterminusdb.github.io/­terminusdb/­#
DeveloperAmazonApache Software Foundation infooriginally developed by HP LabsCCRi and othersGoogleDataChemist Ltd.
Initial release20172000201420152018
Current release4.9.0, July 20234.0.5, February 202411.0.0, January 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache License, Version 2.0Open Source infoApache License 2.0commercialOpen Source infoGPL V3
Cloud-based only infoOnly available as a cloud serviceyesnonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaScalaProlog, Rust
Server operating systemshostedAll OS with a Java VMhostedLinux
Data schemeschema-freeyes infoRDF Schemasyesschema-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.nononono
Secondary indexesnoyesyesno
SQL infoSupport of SQLnonononoSQL-like query language (WOQL)
APIs and other access methodsOpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
Fuseki infoREST-style SPARQL HTTP Interface
Jena RDF API
RIO infoRDF Input/Output
gRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
OWL
RESTful HTTP API
WOQL (Web Object Query Language)
Supported programming languagesC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
JavaC#
C++
Go
Java
JavaScript (Node.js)
Python
JavaScript
Python
Server-side scripts infoStored proceduresnoyesnonoyes
Triggersnoyes infovia event handlernonoyes
Partitioning methods infoMethods for storing different data on different nodesnonenonedepending on storage layerShardingGraph Partitioning
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.nonedepending on storage layerInternal replication in Colossus, and regional replication between two clusters in different zonesJournaling Streams
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistencydepending on storage layerImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)
Foreign keys infoReferential integrityyes infoRelationships in graphsnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID infoTDB TransactionsnoAtomic single-row operationsACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyes infowith encyption-at-restyesyesyesyes infoin-memory journaling
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.depending on storage layerno
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)Access control via Jena Securityyes infodepending on the DBMS used for storageAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Role-based access control

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More resources
Amazon NeptuneApache Jena - TDBGeoMesaGoogle Cloud BigtableTerminusDB infoformer name was DataChemist
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