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DBMS > Hypertable vs. Kingbase vs. Netezza vs. RavenDB vs. Splunk

System Properties Comparison Hypertable vs. Kingbase vs. Netezza vs. RavenDB vs. Splunk

Editorial information provided by DB-Engines
NameHypertable  Xexclude from comparisonKingbase  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonRavenDB  Xexclude from comparisonSplunk  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.
DescriptionAn open source BigTable implementation based on distributed file systems such as HadoopAn enterprise-class RDBMS compatible with PostgreSQL and Oracle and widely used in China.Data warehouse and analytics appliance part of IBM PureSystemsOpen Source Operational and Transactional Enterprise NoSQL Document DatabaseAnalytics Platform for Big Data
Primary database modelWide column storeRelational DBMSRelational DBMSDocument storeSearch engine
Secondary database modelsDocument store
Spatial DBMS
Graph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.44
Rank#258  Overall
#117  Relational DBMS
Score7.56
Rank#48  Overall
#31  Relational DBMS
Score2.68
Rank#102  Overall
#19  Document stores
Score93.02
Rank#13  Overall
#2  Search engines
Websitewww.kingbase.com.cnwww.ibm.com/­products/­netezzaravendb.netwww.splunk.com
Technical documentationravendb.net/­docsdocs.splunk.com/­Documentation/­Splunk
DeveloperHypertable Inc.BeiJing KINGBASE Information technologies inc.IBMHibernating RhinosSplunk Inc.
Initial release20091999200020102003
Current release0.9.8.11, March 2016V8.0, August 20215.4, July 2022
License infoCommercial or Open SourceOpen Source infoGNU version 3. Commercial license availablecommercialcommercialOpen Source infoAGPL version 3, commercial license availablecommercial 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

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Implementation languageC++C and JavaC#
Server operating systemsLinux
OS X
Windows infoan inofficial Windows port is available
Linux
Windows
Linux infoincluded in applianceLinux
macOS
Raspberry Pi
Windows
Linux
OS X
Solaris
Windows
Data schemeschema-freeyesyesschema-freeyes
Typing infopredefined data types such as float or datenoyesyesnoyes
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.yesyes
Secondary indexesrestricted infoonly exact value or prefix value scansyesyesyesyes
SQL infoSupport of SQLnoStandard with numerous extensionsyesSQL-like query language (RQL)no infoSplunk Search Processing Language for search commands
APIs and other access methodsC++ API
Thrift
ADO.NET
gokb
JDBC
kdbndp
ODBC
PDI
PDO
Pro*C
psycopg2
QT
JDBC
ODBC
OLE DB
.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 REST
Supported programming languagesC++
Java
Perl
PHP
Python
Ruby
.Net
C
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
C
C++
Fortran
Java
Lua
Perl
Python
R
.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C#
Java
JavaScript
PHP
Python
Ruby
Server-side scripts infoStored proceduresnouser defined functionsyesyesyes
Triggersnoyesnoyesyes
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning (by range, list and hash) and vertical partitioningShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor on file system levelyesSource-replica replicationMulti-source replicationMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnoyesyesyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate 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 Consistency
Foreign keys infoReferential integritynoyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACID, Cluster-wide transaction availableno 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.no
User concepts infoAccess controlnofine grained access rights according to SQL-standardUsers with fine-grained authorization conceptAuthorization levels configured per client per databaseAccess rights for users and roles

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More resources
HypertableKingbaseNetezza infoAlso called PureData System for Analytics by IBMRavenDBSplunk
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