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DBMS > HugeGraph vs. Interbase vs. MonetDB vs. RocksDB vs. SWC-DB

System Properties Comparison HugeGraph vs. Interbase vs. MonetDB vs. RocksDB vs. SWC-DB

Editorial information provided by DB-Engines
NameHugeGraph  Xexclude from comparisonInterbase  Xexclude from comparisonMonetDB  Xexclude from comparisonRocksDB  Xexclude from comparisonSWC-DB infoSuper Wide Column Database  Xexclude from comparison
DescriptionA fast-speed and highly-scalable Graph DBMSLight-weight proven RDBMS infooriginally from BorlandA relational database management system that stores data in columnsEmbeddable persistent key-value store optimized for fast storage (flash and RAM)A high performance, scalable Wide Column DBMS
Primary database modelGraph DBMSRelational DBMSRelational DBMSKey-value storeWide column store
Secondary database modelsDocument store
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.17
Rank#335  Overall
#31  Graph DBMS
Score4.08
Rank#75  Overall
#41  Relational DBMS
Score1.72
Rank#141  Overall
#64  Relational DBMS
Score3.41
Rank#86  Overall
#11  Key-value stores
Score0.08
Rank#364  Overall
#13  Wide column stores
Websitegithub.com/­hugegraph
hugegraph.apache.org
www.embarcadero.com/­products/­interbasewww.monetdb.orgrocksdb.orggithub.com/­kashirin-alex/­swc-db
www.swcdb.org
Technical documentationhugegraph.apache.org/­docsdocs.embarcadero.com/­products/­interbasewww.monetdb.org/­Documentationgithub.com/­facebook/­rocksdb/­wiki
DeveloperBaiduEmbarcaderoMonetDB BVFacebook, Inc.Alex Kashirin
Initial release20181984200420132020
Current release0.9InterBase 2020, December 2019Dec2023 (11.49), December 20239.2.1, May 20240.5, April 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Source infoMozilla Public License 2.0Open Source infoBSDOpen Source infoGPL V3
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 languageJavaCCC++C++
Server operating systemsLinux
macOS
Unix
Android
iOS
Linux
OS X
Windows
FreeBSD
Linux
OS X
Solaris
Windows
LinuxLinux
Data schemeyesyesyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyesno
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.nono infoexport as XML data possiblenono
Secondary indexesyes infoalso supports composite index and range indexyesyesno
SQL infoSupport of SQLnoyesyes infoSQL 2003 with some extensionsnoSQL-like query language
APIs and other access methodsJava API
RESTful HTTP API
TinkerPop Gremlin
ADO.NET
JDBC
ODBC
JDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
C++ API
Java API
Proprietary protocol
Thrift
Supported programming languagesGroovy
Java
Python
.Net
C
C++
Delphi
Java
Object Pascal
PHP
Ruby
C
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
C
C++
Go
Java
Perl
Python
Ruby
C++
Server-side scripts infoStored proceduresasynchronous Gremlin script jobsyes infoInterbase procedure and trigger languageyes, in SQL, C, Rnono
Triggersnoyesyesno
Partitioning methods infoMethods for storing different data on different nodesyes infodepending on used storage backend, e.g. Cassandra and HBasenoneSharding via remote tableshorizontal partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infodepending on used storage backend, e.g. Cassandra and HBaseInterbase Change Viewsnone infoSource-replica replication available in experimental statusyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsvia hugegraph-sparknononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoedges in graphyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDyes
Concurrency infoSupport for concurrent manipulation of datayesyes infoMultiversion concurreny controlyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyesno
User concepts infoAccess controlUsers, roles and permissionsfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardno

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3rd partiesSpeedb: A high performance RocksDB-compliant key-value store optimized for write-intensive workloads.
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More resources
HugeGraphInterbaseMonetDBRocksDBSWC-DB infoSuper Wide Column Database
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