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DBMS > HugeGraph vs. Manticore Search vs. Riak KV vs. Sphinx

System Properties Comparison HugeGraph vs. Manticore Search vs. Riak KV vs. Sphinx

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Editorial information provided by DB-Engines
NameHugeGraph  Xexclude from comparisonManticore Search  Xexclude from comparisonRiak KV  Xexclude from comparisonSphinx  Xexclude from comparison
DescriptionA fast-speed and highly-scalable Graph DBMSMulti-storage database for search, including full-text search.Distributed, fault tolerant key-value storeOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelGraph DBMSSearch engineKey-value store infowith links between data sets and object tags for the creation of secondary indexesSearch engine
Secondary database modelsTime Series DBMS infousing the Manticore Columnar Library
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.17
Rank#335  Overall
#31  Graph DBMS
Score0.29
Rank#302  Overall
#21  Search engines
Score4.01
Rank#79  Overall
#9  Key-value stores
Score5.95
Rank#55  Overall
#5  Search engines
Websitegithub.com/­hugegraph
hugegraph.apache.org
manticoresearch.comsphinxsearch.com
Technical documentationhugegraph.apache.org/­docsmanual.manticoresearch.comwww.tiot.jp/­riak-docs/­riak/­kv/­latestsphinxsearch.com/­docs
DeveloperBaiduManticore SoftwareOpenSource, formerly Basho TechnologiesSphinx Technologies Inc.
Initial release2018201720092001
Current release0.96.0, February 20233.2.0, December 20223.5.1, February 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoGPL version 2Open Source infoApache version 2, commercial enterprise editionOpen Source infoGPL version 2, commercial licence available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++ErlangC++
Server operating systemsLinux
macOS
Unix
FreeBSD
Linux
macOS
Windows
Linux
OS X
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeyesFixed schemaschema-freeyes
Typing infopredefined data types such as float or dateyesInt, Bigint, Float, Timestamp, Bit, Int array, Bigint array, JSON, Booleannono
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.noCan index from XMLno
Secondary indexesyes infoalso supports composite index and range indexyes infofull-text index on all search fieldsrestrictedyes infofull-text index on all search fields
SQL infoSupport of SQLnoSQL-like query languagenoSQL-like query language (SphinxQL)
APIs and other access methodsJava API
RESTful HTTP API
TinkerPop Gremlin
Binary API
RESTful HTTP/JSON API
RESTful HTTP/SQL API
SQL over MySQL
HTTP API
Native Erlang Interface
Proprietary protocol
Supported programming languagesGroovy
Java
Python
Elixir
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
C infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresasynchronous Gremlin script jobsuser defined functionsErlangno
Triggersnonoyes infopre-commit hooks and post-commit hooksno
Partitioning methods infoMethods for storing different data on different nodesyes infodepending on used storage backend, e.g. Cassandra and HBaseSharding infoPartitioning is done manually, search queries against distributed index is supportedSharding infono "single point of failure"Sharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesyes infodepending on used storage backend, e.g. Cassandra and HBaseSynchronous replication based on Galera libraryselectable replication factornone
MapReduce infoOffers an API for user-defined Map/Reduce methodsvia hugegraph-sparknoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual Consistency
Foreign keys infoReferential integrityyes infoedges in graphnono infolinks between data sets can be storedno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyes infoisolated transactions for atomic changes and binary logging for safe writesnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infoThe original contents of fields are not stored in the Manticore index.yesyes 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.yes
User concepts infoAccess controlUsers, roles and permissionsnoyes, using Riak Securityno

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