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DBMS > HugeGraph vs. Ignite vs. Sphinx vs. Tkrzw vs. ToroDB

System Properties Comparison HugeGraph vs. Ignite vs. Sphinx vs. Tkrzw vs. ToroDB

Editorial information provided by DB-Engines
NameHugeGraph  Xexclude from comparisonIgnite  Xexclude from comparisonSphinx  Xexclude from comparisonTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet  Xexclude from comparisonToroDB  Xexclude from comparison
ToroDB seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionA fast-speed and highly-scalable Graph DBMSApache Ignite is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads, delivering in-memory speeds at petabyte scale.Open source search engine for searching in data from different sources, e.g. relational databasesA concept of libraries, allowing an application program to store and query key-value pairs in a file. Successor of Tokyo Cabinet and Kyoto CabinetA MongoDB-compatible JSON document store, built on top of PostgreSQL
Primary database modelGraph DBMSKey-value store
Relational DBMS
Search engineKey-value storeDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.15
Rank#339  Overall
#33  Graph DBMS
Score3.64
Rank#89  Overall
#13  Key-value stores
#48  Relational DBMS
Score6.03
Rank#60  Overall
#6  Search engines
Score0.09
Rank#354  Overall
#51  Key-value stores
Websitegithub.com/­hugegraph
hugegraph.apache.org
ignite.apache.orgsphinxsearch.comdbmx.net/­tkrzwgithub.com/­torodb/­server
Technical documentationhugegraph.apache.org/­docsapacheignite.readme.io/­docssphinxsearch.com/­docs
DeveloperBaiduApache Software FoundationSphinx Technologies Inc.Mikio Hirabayashi8Kdata
Initial release20182015200120202016
Current release0.9Apache Ignite 2.63.5.1, February 20230.9.3, August 2020
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache 2.0Open Source infoGPL version 2, commercial licence availableOpen Source infoApache Version 2.0Open Source infoAGPL-V3
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++, Java, .NetC++C++Java
Server operating systemsLinux
macOS
Unix
Linux
OS X
Solaris
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Linux
macOS
All OS with a Java 7 VM
Data schemeyesyesyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesnonoyes infostring, integer, double, boolean, date, object_id
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.noyesnono
Secondary indexesyes infoalso supports composite index and range indexyesyes infofull-text index on all search fields
SQL infoSupport of SQLnoANSI-99 for query and DML statements, subset of DDLSQL-like query language (SphinxQL)no
APIs and other access methodsJava API
RESTful HTTP API
TinkerPop Gremlin
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
Proprietary protocol
Supported programming languagesGroovy
Java
Python
C#
C++
Java
PHP
Python
Ruby
Scala
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
C++
Java
Python
Ruby
Server-side scripts infoStored proceduresasynchronous Gremlin script jobsyes (compute grid and cache interceptors can be used instead)nono
Triggersnoyes (cache interceptors and events)nonono
Partitioning methods infoMethods for storing different data on different nodesyes infodepending on used storage backend, e.g. Cassandra and HBaseShardingSharding infoPartitioning is done manually, search queries against distributed index is supportednoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infodepending on used storage backend, e.g. Cassandra and HBaseyes (replicated cache)nonenoneSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsvia hugegraph-sparkyes (compute grid and hadoop accelerator)nono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integrityyes infoedges in graphnononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoThe original contents of fields are not stored in the Sphinx index.yesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes infousing specific database classes
User concepts infoAccess controlUsers, roles and permissionsSecurity Hooks for custom implementationsnonoAccess rights for users and roles

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More resources
HugeGraphIgniteSphinxTkrzw infoSuccessor of Tokyo Cabinet and Kyoto CabinetToroDB
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