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DBMS > Hypertable vs. Kinetica vs. RavenDB vs. SpaceTime vs. Splunk

System Properties Comparison Hypertable vs. Kinetica vs. RavenDB vs. SpaceTime vs. Splunk

Editorial information provided by DB-Engines
NameHypertable  Xexclude from comparisonKinetica  Xexclude from comparisonRavenDB  Xexclude from comparisonSpaceTime  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 HadoopFully vectorized database across both GPUs and CPUsOpen Source Operational and Transactional Enterprise NoSQL Document DatabaseSpaceTime is a spatio-temporal DBMS with a focus on performance.Analytics Platform for Big Data
Primary database modelWide column storeRelational DBMSDocument storeSpatial DBMSSearch engine
Secondary database modelsSpatial DBMS
Time Series DBMS
Graph DBMS
Spatial DBMS
Time Series DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.66
Rank#234  Overall
#107  Relational DBMS
Score2.84
Rank#101  Overall
#18  Document stores
Score0.03
Rank#392  Overall
#8  Spatial DBMS
Score89.10
Rank#14  Overall
#2  Search engines
Websitewww.kinetica.comravendb.netwww.mireo.com/­spacetimewww.splunk.com
Technical documentationdocs.kinetica.comravendb.net/­docsdocs.splunk.com/­Documentation/­Splunk
DeveloperHypertable Inc.KineticaHibernating RhinosMireoSplunk Inc.
Initial release20092012201020202003
Current release0.9.8.11, March 20167.1, August 20215.4, July 2022
License infoCommercial or Open SourceOpen Source infoGNU version 3. Commercial license availablecommercialOpen 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 languageC++C, C++C#C++
Server operating systemsLinux
OS X
Windows infoan inofficial Windows port is available
LinuxLinux
macOS
Raspberry Pi
Windows
LinuxLinux
OS X
Solaris
Windows
Data schemeschema-freeyesschema-freeyesyes
Typing infopredefined data types such as float or datenoyesnoyesyes
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.nonoyes
Secondary indexesrestricted infoonly exact value or prefix value scansyesyesnoyes
SQL infoSupport of SQLnoSQL-like DML and DDL statementsSQL-like query language (RQL)A subset of ANSI SQL is implementedno infoSplunk Search Processing Language for search commands
APIs and other access methodsC++ API
Thrift
JDBC
ODBC
RESTful HTTP API
.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 APIHTTP REST
Supported programming languagesC++
Java
Perl
PHP
Python
Ruby
C++
Java
JavaScript (Node.js)
Python
.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C#
C++
Python
C#
Java
JavaScript
PHP
Python
Ruby
Server-side scripts infoStored proceduresnouser defined functionsyesnoyes
Triggersnoyes infotriggers when inserted values for one or more columns fall within a specified rangeyesnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingFixed-grid hypercubesSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor on file system levelSource-replica replicationMulti-source replicationReal-time block device replication (DRBD)Multi-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnoyesnoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationDefault 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 integritynoyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACID, Cluster-wide transaction availablenono 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.yes infoGPU vRAM or System RAMnono
User concepts infoAccess controlnoAccess rights for users and roles on table levelAuthorization levels configured per client per databaseyesAccess rights for users and roles

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More resources
HypertableKineticaRavenDBSpaceTimeSplunk
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