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DBMS > Amazon Neptune vs. GeoSpock vs. IRONdb vs. RDF4J vs. Rockset

System Properties Comparison Amazon Neptune vs. GeoSpock vs. IRONdb vs. RDF4J vs. Rockset

Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonGeoSpock  Xexclude from comparisonIRONdb  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparisonRockset  Xexclude from comparison
GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.IRONdb seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionFast, reliable graph database built for the cloudSpatial and temporal data processing engine for extreme data scaleA distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicityRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.A scalable, reliable search and analytics service in the cloud, built on RocksDB
Primary database modelGraph DBMS
RDF store
Relational DBMSTime Series DBMSRDF storeDocument store
Secondary database modelsTime Series DBMSRelational 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
Score0.69
Rank#230  Overall
#9  RDF stores
Score0.79
Rank#211  Overall
#35  Document stores
Websiteaws.amazon.com/­neptunegeospock.comwww.circonus.com/solutions/time-series-database/rdf4j.orgrockset.com
Technical documentationaws.amazon.com/­neptune/­developer-resourcesdocs.circonus.com/irondb/category/getting-startedrdf4j.org/­documentationdocs.rockset.com
DeveloperAmazonGeoSpockCirconus LLC.Since 2016 officially forked into an Eclipse project, former developer was Aduna Software.Rockset
Initial release2017201720042019
Current release2.0, September 2019V0.10.20, January 2018
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source infoEclipse Distribution License (EDL), v1.0.commercial
Cloud-based only infoOnly available as a cloud serviceyesyesnonoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, JavascriptC and C++JavaC++
Server operating systemshostedhostedLinuxLinux
OS X
Unix
Windows
hosted
Data schemeschema-freeyesschema-freeyes infoRDF Schemasschema-free
Typing infopredefined data types such as float or dateyesyesyes infotext, numeric, histogramsyesdynamic typing
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 infoingestion from XML files supported
Secondary indexesnotemporal, categoricalnoyesall fields are automatically indexed
SQL infoSupport of SQLnoANSI SQL for query only (using Presto)SQL-like query language (Circonus Analytics Query Language: CAQL)noRead-only SQL queries, including JOINs
APIs and other access methodsOpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
JDBCHTTP APIJava API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
HTTP REST
Supported programming languagesC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Lua
Perl
PHP
Python
R
Ruby
Rust
Scala
Java
PHP
Python
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnonoyes, in Luayesno
Triggersnononoyesno
Partitioning methods infoMethods for storing different data on different nodesnoneAutomatic shardingAutomatic, metric affinity per nodenoneAutomatic sharding
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.configurable replication factor, datacenter awarenoneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate consistency per node, eventual consistency across nodesEventual Consistency
Foreign keys infoReferential integrityyes infoRelationships in graphsnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoACID infoIsolation support depends on the API usedno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyes infowith encyption-at-restyesyesyes infoin-memory storage is supported as wellyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)Access rights for users can be defined per tablenonoAccess rights for users and organizations can be defined via Rockset console

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More resources
Amazon NeptuneGeoSpockIRONdbRDF4J infoformerly known as SesameRockset
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