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DBMS > HugeGraph vs. JaguarDB vs. KairosDB vs. Sphinx vs. Splunk

System Properties Comparison HugeGraph vs. JaguarDB vs. KairosDB vs. Sphinx vs. Splunk

Editorial information provided by DB-Engines
NameHugeGraph  Xexclude from comparisonJaguarDB  Xexclude from comparisonKairosDB  Xexclude from comparisonSphinx  Xexclude from comparisonSplunk  Xexclude from comparison
DescriptionA fast-speed and highly-scalable Graph DBMSPerformant, highly scalable DBMS for AI and IoT applicationsDistributed Time Series DBMS based on Cassandra or H2Open source search engine for searching in data from different sources, e.g. relational databasesAnalytics Platform for Big Data
Primary database modelGraph DBMSKey-value store
Vector DBMS
Time Series DBMSSearch engineSearch engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.13
Rank#336  Overall
#32  Graph DBMS
Score0.00
Rank#383  Overall
#60  Key-value stores
#13  Vector DBMS
Score0.62
Rank#239  Overall
#20  Time Series DBMS
Score5.98
Rank#56  Overall
#5  Search engines
Score86.45
Rank#14  Overall
#2  Search engines
Websitegithub.com/­hugegraph
hugegraph.apache.org
www.jaguardb.comgithub.com/­kairosdb/­kairosdbsphinxsearch.comwww.splunk.com
Technical documentationhugegraph.apache.org/­docswww.jaguardb.com/­support.htmlkairosdb.github.iosphinxsearch.com/­docsdocs.splunk.com/­Documentation/­Splunk
DeveloperBaiduDataJaguar, Inc.Sphinx Technologies Inc.Splunk Inc.
Initial release20182015201320012003
Current release0.93.3 July 20231.2.2, November 20183.5.1, February 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoGPL V3.0Open Source infoApache 2.0Open Source infoGPL version 2, commercial licence availablecommercial infoLimited free edition and free developer edition 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 languageJavaC++ infothe server part. Clients available in other languagesJavaC++
Server operating systemsLinux
macOS
Unix
LinuxLinux
OS X
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Linux
OS X
Solaris
Windows
Data schemeyesyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesyesnoyes
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.nononoyes
Secondary indexesyes infoalso supports composite index and range indexyesnoyes infofull-text index on all search fieldsyes
SQL infoSupport of SQLnoA subset of ANSI SQL is implemented infobut no views, foreign keys, triggersnoSQL-like query language (SphinxQL)no infoSplunk Search Processing Language for search commands
APIs and other access methodsJava API
RESTful HTTP API
TinkerPop Gremlin
JDBC
ODBC
Graphite protocol
HTTP REST
Telnet API
Proprietary protocolHTTP REST
Supported programming languagesGroovy
Java
Python
C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
Java
JavaScript infoNode.js
PHP
Python
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
C#
Java
JavaScript
PHP
Python
Ruby
Server-side scripts infoStored proceduresasynchronous Gremlin script jobsnononoyes
Triggersnonononoyes
Partitioning methods infoMethods for storing different data on different nodesyes infodepending on used storage backend, e.g. Cassandra and HBaseShardingSharding infobased on CassandraSharding infoPartitioning is done manually, search queries against distributed index is supportedSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infodepending on used storage backend, e.g. Cassandra and HBaseMulti-source replicationselectable replication factor infobased on CassandranoneMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsvia hugegraph-sparknononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Eventual Consistency
Foreign keys infoReferential integrityyes infoedges in graphnononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnononono infoA 'Transaction' in Splunk has a different meaning: grouping related events into a single one for later searching
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoThe original contents of fields are not stored in the Sphinx index.yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnonono
User concepts infoAccess controlUsers, roles and permissionsrights management via user accountssimple password-based access controlnoAccess rights for users and roles

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More resources
HugeGraphJaguarDBKairosDBSphinxSplunk
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