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DBMS > Datomic vs. HarperDB vs. jBASE vs. Stardog

System Properties Comparison Datomic vs. HarperDB vs. jBASE vs. Stardog

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Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonHarperDB  Xexclude from comparisonjBASE  Xexclude from comparisonStardog  Xexclude from comparison
DescriptionDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityUltra-low latency distributed database with an intuitive REST API supporting NoSQL and SQL (including joins). Deployment of functions and databases simultaneously with a consolidated node-level architecture.A robust multi-value DBMS comprising development tools and middlewareEnterprise Knowledge Graph platform and graph DBMS with high availability, high performance reasoning, and virtualization
Primary database modelRelational DBMSDocument storeMultivalue DBMSGraph DBMS
RDF store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.66
Rank#144  Overall
#66  Relational DBMS
Score0.60
Rank#244  Overall
#38  Document stores
Score1.49
Rank#156  Overall
#3  Multivalue DBMS
Score2.07
Rank#122  Overall
#11  Graph DBMS
#6  RDF stores
Websitewww.datomic.comwww.harperdb.iowww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-jbasewww.stardog.com
Technical documentationdocs.datomic.comdocs.harperdb.io/­docsdocs.rocketsoftware.com/­bundle?labelkey=jbase_5.9docs.stardog.com
DeveloperCognitectHarperDBRocket Software (formerly Zumasys)Stardog-Union
Initial release2012201719912010
Current release1.0.7075, December 20233.1, August 20215.77.3.0, May 2020
License infoCommercial or Open Sourcecommercial infolimited edition freecommercial infofree community edition availablecommercialcommercial info60-day fully-featured trial license; 1-year fully-featured non-commercial use license for academics/students
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, ClojureNode.jsJava
Server operating systemsAll OS with a Java VMLinux
OS X
AIX
Linux
Windows
Linux
macOS
Windows
Data schemeyesdynamic schemaschema-freeschema-free and OWL/RDFS-schema support
Typing infopredefined data types such as float or dateyesyes infoJSON data typesoptionalyes
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.nonoyesno infoImport/export of XML data possible
Secondary indexesyesyesyes infosupports real-time indexing in full-text and geospatial
SQL infoSupport of SQLnoSQL-like data manipulation statementsEmbedded SQL for jBASE in BASICYes, compatible with all major SQL variants through dedicated BI/SQL Server
APIs and other access methodsRESTful HTTP APIJDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
SOAP-based API
GraphQL query language
HTTP API
Jena RDF API
OWL
RDF4J API
Sesame REST HTTP Protocol
SNARL
SPARQL
Spring Data
Stardog Studio
TinkerPop 3
Supported programming languagesClojure
Java
.Net
C
C#
C++
ColdFusion
D
Dart
Delphi
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
MatLab
Objective C
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Rust
Scala
Swift
.Net
Basic
Jabbascript
Java
.Net
Clojure
Groovy
Java
JavaScript
Python
Ruby
Server-side scripts infoStored proceduresyes infoTransaction FunctionsCustom Functions infosince release 3.1yesuser defined functions and aggregates, HTTP Server extensions in Java
TriggersBy using transaction functionsnoyesyes infovia event handlers
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peersA table resides as a whole on one (or more) nodes in a clusterShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersyes infothe nodes on which a table resides can be definedyesMulti-source replication in HA-Cluster
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency in HA-Cluster
Foreign keys infoReferential integritynononoyes inforelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic execution of specific operationsACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yes, using LMDByesyes
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 developmentyesyesyes
User concepts infoAccess controlnoAccess rights for users and rolesAccess rights can be defined down to the item levelAccess rights for users and roles

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More resources
DatomicHarperDBjBASEStardog
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