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DBMS > EventStoreDB vs. GBase vs. HugeGraph vs. Sphinx

System Properties Comparison EventStoreDB vs. GBase vs. HugeGraph vs. Sphinx

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Editorial information provided by DB-Engines
NameEventStoreDB  Xexclude from comparisonGBase  Xexclude from comparisonHugeGraph  Xexclude from comparisonSphinx  Xexclude from comparison
DescriptionIndustrial-strength, open-source database solution built from the ground up for event sourcing.Widely used RDBMS in China, including analytical, transactional, distributed transactional, and cloud-native data warehousing.A fast-speed and highly-scalable Graph DBMSOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelEvent StoreRelational DBMSGraph DBMSSearch engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.10
Rank#179  Overall
#1  Event Stores
Score1.07
Rank#185  Overall
#86  Relational DBMS
Score0.13
Rank#336  Overall
#32  Graph DBMS
Score5.98
Rank#56  Overall
#5  Search engines
Websitewww.eventstore.comwww.gbase.cngithub.com/­hugegraph
hugegraph.apache.org
sphinxsearch.com
Technical documentationdevelopers.eventstore.comhugegraph.apache.org/­docssphinxsearch.com/­docs
DeveloperEvent Store LimitedGeneral Data Technology Co., Ltd.BaiduSphinx Technologies Inc.
Initial release2012200420182001
Current release21.2, February 2021GBase 8a, GBase 8s, GBase 8c0.93.5.1, February 2023
License infoCommercial or Open SourceOpen SourcecommercialOpen Source infoApache Version 2.0Open Source infoGPL version 2, commercial licence available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, Java, PythonJavaC++
Server operating systemsLinux
Windows
LinuxLinux
macOS
Unix
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeyesyesyes
Typing infopredefined data types such as float or dateyesyesno
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.yesno
Secondary indexesyesyes infoalso supports composite index and range indexyes infofull-text index on all search fields
SQL infoSupport of SQLStandard with numerous extensionsnoSQL-like query language (SphinxQL)
APIs and other access methodsADO.NET
C API
JDBC
ODBC
Java API
RESTful HTTP API
TinkerPop Gremlin
Proprietary protocol
Supported programming languagesC#Groovy
Java
Python
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresuser defined functionsasynchronous Gremlin script jobsno
Triggersyesnono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by range, list and hash) and vertical partitioningyes infodepending on used storage backend, e.g. Cassandra and HBaseSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes infodepending on used storage backend, e.g. Cassandra and HBasenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsvia hugegraph-sparkno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyesyes infoedges in graphno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes 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 controlyesUsers, roles and permissionsno

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EventStoreDBGBaseHugeGraphSphinx
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