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DBMS > HugeGraph vs. Hypertable vs. RavenDB vs. searchxml vs. Splunk

System Properties Comparison HugeGraph vs. Hypertable vs. RavenDB vs. searchxml vs. Splunk

Editorial information provided by DB-Engines
NameHugeGraph  Xexclude from comparisonHypertable  Xexclude from comparisonRavenDB  Xexclude from comparisonsearchxml  Xexclude from comparisonSplunk  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.
DescriptionA fast-speed and highly-scalable Graph DBMSAn open source BigTable implementation based on distributed file systems such as HadoopOpen Source Operational and Transactional Enterprise NoSQL Document DatabaseDBMS for structured and unstructured content wrapped with an application serverAnalytics Platform for Big Data
Primary database modelGraph DBMSWide column storeDocument storeNative XML DBMS
Search engine
Search engine
Secondary database modelsGraph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.17
Rank#335  Overall
#31  Graph DBMS
Score2.84
Rank#101  Overall
#18  Document stores
Score0.03
Rank#390  Overall
#7  Native XML DBMS
#24  Search engines
Score89.10
Rank#14  Overall
#2  Search engines
Websitegithub.com/­hugegraph
hugegraph.apache.org
ravendb.netwww.searchxml.net/­category/­productswww.splunk.com
Technical documentationhugegraph.apache.org/­docsravendb.net/­docswww.searchxml.net/­support/­handoutsdocs.splunk.com/­Documentation/­Splunk
DeveloperBaiduHypertable Inc.Hibernating Rhinosinformationpartners gmbhSplunk Inc.
Initial release20182009201020152003
Current release0.90.9.8.11, March 20165.4, July 20221.0
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoGNU version 3. Commercial license availableOpen Source infoAGPL version 3, commercial license availablecommercialcommercial 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++C#C++
Server operating systemsLinux
macOS
Unix
Linux
OS X
Windows infoan inofficial Windows port is available
Linux
macOS
Raspberry Pi
Windows
WindowsLinux
OS X
Solaris
Windows
Data schemeyesschema-freeschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesnonoyesyes
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.noyesyes
Secondary indexesyes infoalso supports composite index and range indexrestricted infoonly exact value or prefix value scansyesyesyes
SQL infoSupport of SQLnonoSQL-like query language (RQL)nono infoSplunk Search Processing Language for search commands
APIs and other access methodsJava API
RESTful HTTP API
TinkerPop Gremlin
C++ API
Thrift
.NET Client API
F# Client API
Go Client API
Java Client API
NodeJS Client API
PHP Client API
Python Client API
RESTful HTTP API
RESTful HTTP API
WebDAV
XQuery
XSLT
HTTP REST
Supported programming languagesGroovy
Java
Python
C++
Java
Perl
PHP
Python
Ruby
.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C++ infomost other programming languages supported via APIsC#
Java
JavaScript
PHP
Python
Ruby
Server-side scripts infoStored proceduresasynchronous Gremlin script jobsnoyesyes infoon the application serveryes
Triggersnonoyesnoyes
Partitioning methods infoMethods for storing different data on different nodesyes infodepending on used storage backend, e.g. Cassandra and HBaseShardingShardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infodepending on used storage backend, e.g. Cassandra and HBaseselectable replication factor on file system levelMulti-source replicationyes infosychronisation to multiple collectionsMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsvia hugegraph-sparkyesyesnoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyDefault ACID transactions on the local node (eventually consistent across the cluster). Atomic operations with cluster-wide ACID transactions. Eventual consistency for indexes and full-text search indexes.Immediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyes infoedges in graphnononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID, Cluster-wide transaction availablemultiple readers, single writerno 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 persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnono
User concepts infoAccess controlUsers, roles and permissionsnoAuthorization levels configured per client per databaseDomain, group and role-based access control at the document level and for application servicesAccess rights for users and roles

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More resources
HugeGraphHypertableRavenDBsearchxmlSplunk
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