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DBMS > Cachelot.io vs. Cubrid vs. HugeGraph vs. Nebula Graph vs. Sphinx

System Properties Comparison Cachelot.io vs. Cubrid vs. HugeGraph vs. Nebula Graph vs. Sphinx

Editorial information provided by DB-Engines
NameCachelot.io  Xexclude from comparisonCubrid  Xexclude from comparisonHugeGraph  Xexclude from comparisonNebula Graph  Xexclude from comparisonSphinx  Xexclude from comparison
DescriptionIn-memory caching systemCUBRID is an open-source SQL-based relational database management system with object extensions for OLTPA fast-speed and highly-scalable Graph DBMSA distributed, linear scalable, high perfomant Graph DBMSOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelKey-value storeRelational DBMSGraph DBMSGraph DBMSSearch engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.00
Rank#354  Overall
#54  Key-value stores
Score1.20
Rank#160  Overall
#76  Relational DBMS
Score0.22
Rank#286  Overall
#22  Graph DBMS
Score1.10
Rank#169  Overall
#15  Graph DBMS
Score6.72
Rank#63  Overall
#7  Search engines
Websitecachelot.iocubrid.com (korean)
cubrid.org (english)
github.com/­hugegraphgithub.com/­vesoft-inc/­nebula
nebula-graph.io
sphinxsearch.com
Technical documentationcubrid.org/­manualshugegraph.github.io/­hugegraph-docdocs.nebula-graph.iosphinxsearch.com/­docs
DeveloperCUBRID Corporation, CUBRID FoundationBaiduVesoft Inc.Sphinx Technologies Inc.
Initial release20152008201820192001
Current release11.0, January 20210.93.4.1, July 2021
License infoCommercial or Open SourceOpen Source infoSimplified BSD LicenseOpen Source infoApache Version 2.0Open Source infoApache Version 2.0Open Source infoApache Version 2.0 + Common Clause 1.0Open Source infoGPL version 2, commercial licence available
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 languageC++C, C++, JavaJavaC++C++
Server operating systemsFreeBSD
Linux
OS X
Linux
Windows
Linux
macOS
Unix
LinuxFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeschema-freeyesyesStrong typed schemayes
Typing infopredefined data types such as float or datenoyesyesyesno
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 indexesnoyesyes infoalso supports composite index and range indexyes infoNebula Graph internally uses the Key-Value store RocksDB for persistency. The vertices, edges, and their properties are stored as Key while their values are stored as Value. The primary indexes are per Key and secondary indexes are per Value.yes infofull-text index on all search fields
SQL infoSupport of SQLnoyesnoSQL-like query languageSQL-like query language (SphinxQL)
APIs and other access methodsMemcached protocolADO.NET
JDBC
ODBC
OLE DB
Java API
RESTful HTTP API
TinkerPop Gremlin
Browser interface
console (shell)
Proprietary native API
Query language nGQL
Proprietary protocol
Supported programming languages.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
OCaml
Perl
PHP
Python
Ruby
C
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Groovy
Java
Python
C++
Go
Java
Python
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresnoJava Stored Proceduresasynchronous Gremlin script jobsno
Triggersnoyesnono
Partitioning methods infoMethods for storing different data on different nodesnonenoneyes infodepending on used storage backend, e.g. Cassandra and HBaseShardingSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSource-replica replicationyes infodepending on used storage backend, e.g. Cassandra and HBaseCausal Clustering using Raft protocolnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonovia hugegraph-sparknono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyes infoedges in graphyes infoRelationships in graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentnoyesyesyes infousing RocksDByes infoThe original contents of fields are not stored in the Sphinx index.
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesyes
User concepts infoAccess controlnofine grained access rights according to SQL-standardUsers, roles and permissionsRole-based access controlno
More information provided by the system vendor
Cachelot.ioCubridHugeGraphNebula GraphSphinx
Specific characteristicsNebula Graph is a truly distributed, linearly scalable, lightning-fast graph database,...
» more
Competitive advantagesNebula Graph boasts the world's only graph database solution that is able to host...
» more
Typical application scenariosSocial networking Fraud detection Knowledge graph Data warehouse management Anti...
» more
Key customersCurrently we have some top internet companies in China implementing Nebula Graph...
» more
Market metricsAt our very early stage, Nebula Graph has already received 3.5k stars and thousands...
» more
Licensing and pricing modelsNebula Graph is open source and free to use under Apache 2.0 license and Common Clause...
» more

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More resources
Cachelot.ioCubridHugeGraphNebula GraphSphinx
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