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DBMS > HugeGraph vs. InterSystems Caché vs. LevelDB vs. Sadas Engine vs. Stardog

System Properties Comparison HugeGraph vs. InterSystems Caché vs. LevelDB vs. Sadas Engine vs. Stardog

Editorial information provided by DB-Engines
NameHugeGraph  Xexclude from comparisonInterSystems Caché  Xexclude from comparisonLevelDB  Xexclude from comparisonSadas Engine  Xexclude from comparisonStardog  Xexclude from comparison
Caché is a deprecated database engine which is substituted with InterSystems IRIS. It therefore is removed from the DB-Engines Ranking.
DescriptionA fast-speed and highly-scalable Graph DBMSA multi-model DBMS and application serverEmbeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesSADAS Engine is a columnar DBMS specifically designed for high performance in data warehouse environmentsEnterprise Knowledge Graph platform and graph DBMS with high availability, high performance reasoning, and virtualization
Primary database modelGraph DBMSKey-value store
Object oriented DBMS
Relational DBMS
Key-value storeRelational DBMSGraph DBMS
RDF store
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.13
Rank#336  Overall
#32  Graph DBMS
Score2.35
Rank#111  Overall
#19  Key-value stores
Score0.00
Rank#383  Overall
#158  Relational DBMS
Score2.02
Rank#123  Overall
#11  Graph DBMS
#6  RDF stores
Websitegithub.com/­hugegraph
hugegraph.apache.org
www.intersystems.com/­products/­cachegithub.com/­google/­leveldbwww.sadasengine.comwww.stardog.com
Technical documentationhugegraph.apache.org/­docsdocs.intersystems.comgithub.com/­google/­leveldb/­blob/­main/­doc/­index.mdwww.sadasengine.com/­en/­sadas-engine-download-free-trial-and-documentation/­#documentationdocs.stardog.com
DeveloperBaiduInterSystemsGoogleSADAS s.r.l.Stardog-Union
Initial release20181997201120062010
Current release0.92018.1.4, May 20201.23, February 20218.07.3.0, May 2020
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Source infoBSDcommercial infofree trial version availablecommercial 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 servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++C++Java
Server operating systemsLinux
macOS
Unix
AIX
HP Open VMS
HP-UX
Linux
OS X
Solaris
Windows
Illumos
Linux
OS X
Windows
AIX
Linux
Windows
Linux
macOS
Windows
Data schemeyesdepending on used data modelschema-freeyesschema-free and OWL/RDFS-schema support
Typing infopredefined data types such as float or dateyesyesnoyesyes
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.noyesnonono infoImport/export of XML data possible
Secondary indexesyes infoalso supports composite index and range indexyesnoyesyes infosupports real-time indexing in full-text and geospatial
SQL infoSupport of SQLnoyesnoyesYes, compatible with all major SQL variants through dedicated BI/SQL Server
APIs and other access methodsJava API
RESTful HTTP API
TinkerPop Gremlin
.NET Client API
JDBC
ODBC
RESTful HTTP API
JDBC
ODBC
Proprietary protocol
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 languagesGroovy
Java
Python
C#
C++
Java
C++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
.Net
C
C#
C++
Groovy
Java
PHP
Python
.Net
Clojure
Groovy
Java
JavaScript
Python
Ruby
Server-side scripts infoStored proceduresasynchronous Gremlin script jobsyesnonouser defined functions and aggregates, HTTP Server extensions in Java
Triggersnoyesnonoyes infovia event handlers
Partitioning methods infoMethods for storing different data on different nodesyes infodepending on used storage backend, e.g. Cassandra and HBasenonenonehorizontal partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesyes infodepending on used storage backend, e.g. Cassandra and HBaseSource-replica replicationnonenoneMulti-source replication in HA-Cluster
MapReduce infoOffers an API for user-defined Map/Reduce methodsvia hugegraph-sparknononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency in HA-Cluster
Foreign keys infoReferential integrityyes infoedges in graphyesnoyesyes inforelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes infowith automatic compression on writesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes infomanaged by 'Learn by Usage'yes
User concepts infoAccess controlUsers, roles and permissionsAccess rights for users, groups and rolesnoAccess rights for users, groups and roles according to SQL-standardAccess rights for users and roles

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More resources
HugeGraphInterSystems CachéLevelDBSadas EngineStardog
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