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

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

Editorial information provided by DB-Engines
NameHugeGraph  Xexclude from comparisonHypertable  Xexclude from comparisonRavenDB  Xexclude from comparisonSplunk  Xexclude from comparisonTrafodion  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.Apache Trafodion has been retired in 2021. Therefore it is excluded 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 DatabaseAnalytics Platform for Big DataTransactional SQL-on-Hadoop DBMS
Primary database modelGraph DBMSWide column storeDocument storeSearch engineRelational DBMS
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
Score89.10
Rank#14  Overall
#2  Search engines
Websitegithub.com/­hugegraph
hugegraph.apache.org
ravendb.netwww.splunk.comtrafodion.apache.org
Technical documentationhugegraph.apache.org/­docsravendb.net/­docsdocs.splunk.com/­Documentation/­Splunktrafodion.apache.org/­documentation.html
DeveloperBaiduHypertable Inc.Hibernating RhinosSplunk Inc.Apache Software Foundation, originally developed by HP
Initial release20182009201020032014
Current release0.90.9.8.11, March 20165.4, July 20222.3.0, February 2019
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoGNU version 3. Commercial license availableOpen Source infoAGPL version 3, commercial license availablecommercial infoLimited free edition and free developer edition availableOpen Source infoApache 2.0
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++, Java
Server operating systemsLinux
macOS
Unix
Linux
OS X
Windows infoan inofficial Windows port is available
Linux
macOS
Raspberry Pi
Windows
Linux
OS X
Solaris
Windows
Linux
Data schemeyesschema-freeschema-freeyesyes
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.noyesno
Secondary indexesyes infoalso supports composite index and range indexrestricted infoonly exact value or prefix value scansyesyesyes
SQL infoSupport of SQLnonoSQL-like query language (RQL)no infoSplunk Search Processing Language for search commandsyes
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
HTTP RESTADO.NET
JDBC
ODBC
Supported programming languagesGroovy
Java
Python
C++
Java
Perl
PHP
Python
Ruby
.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C#
Java
JavaScript
PHP
Python
Ruby
All languages supporting JDBC/ODBC/ADO.Net
Server-side scripts infoStored proceduresasynchronous Gremlin script jobsnoyesyesJava Stored Procedures
Triggersnonoyesyesno
Partitioning methods infoMethods for storing different data on different nodesyes infodepending on used storage backend, e.g. Cassandra and HBaseShardingShardingShardingSharding
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 replicationMulti-source replicationyes, via HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsvia hugegraph-sparkyesyesyesyes infovia user defined functions and HBase
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.Eventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoedges in graphnononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID, Cluster-wide transaction availableno infoA 'Transaction' in Splunk has a different meaning: grouping related events into a single one for later searchingACID
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 databaseAccess rights for users and rolesfine grained access rights according to SQL-standard

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More resources
HugeGraphHypertableRavenDBSplunkTrafodion
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