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DBMS > Kinetica vs. Oracle Coherence vs. RRDtool vs. Sadas Engine vs. Sphinx

System Properties Comparison Kinetica vs. Oracle Coherence vs. RRDtool vs. Sadas Engine vs. Sphinx

Editorial information provided by DB-Engines
NameKinetica  Xexclude from comparisonOracle Coherence  Xexclude from comparisonRRDtool  Xexclude from comparisonSadas Engine  Xexclude from comparisonSphinx  Xexclude from comparison
DescriptionFully vectorized database across both GPUs and CPUsOracles in-memory data grid solutionIndustry standard data logging and graphing tool for time series data. RRD is an acronym for round-robin database. infoThe data is stored in a circular buffer, thus the system storage footprint remains constant over time.SADAS Engine is a columnar DBMS specifically designed for high performance in data warehouse environmentsOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelRelational DBMSKey-value storeTime Series DBMSRelational DBMSSearch engine
Secondary database modelsSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.66
Rank#234  Overall
#107  Relational DBMS
Score1.97
Rank#129  Overall
#22  Key-value stores
Score1.90
Rank#132  Overall
#11  Time Series DBMS
Score0.07
Rank#373  Overall
#157  Relational DBMS
Score5.95
Rank#55  Overall
#5  Search engines
Websitewww.kinetica.comwww.oracle.com/­java/­coherenceoss.oetiker.ch/­rrdtoolwww.sadasengine.comsphinxsearch.com
Technical documentationdocs.kinetica.comdocs.oracle.com/­en/­middleware/­standalone/­coherenceoss.oetiker.ch/­rrdtool/­docwww.sadasengine.com/­en/­sadas-engine-download-free-trial-and-documentation/­#documentationsphinxsearch.com/­docs
DeveloperKineticaOracleTobias OetikerSADAS s.r.l.Sphinx Technologies Inc.
Initial release20122007199920062001
Current release7.1, August 202114.1, August 20231.8.0, 20228.03.5.1, February 2023
License infoCommercial or Open SourcecommercialcommercialOpen Source infoGPL V2 and FLOSScommercial infofree trial version availableOpen Source infoGPL version 2, commercial licence 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++JavaC infoImplementations in Java (e.g. RRD4J) and C# availableC++C++
Server operating systemsLinuxAll OS with a Java VMHP-UX
Linux
AIX
Linux
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeyesschema-freeyesyesyes
Typing infopredefined data types such as float or dateyesyesNumeric data onlyyesno
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.nonono infoExporting into and restoring from XML files possibleno
Secondary indexesyesnonoyesyes infofull-text index on all search fields
SQL infoSupport of SQLSQL-like DML and DDL statementsnonoyesSQL-like query language (SphinxQL)
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
JCache
JPA
RESTful HTTP API
in-process shared library
Pipes
JDBC
ODBC
Proprietary protocol
Proprietary protocol
Supported programming languagesC++
Java
JavaScript (Node.js)
Python
.Net
C++
Java
C infowith librrd library
C# infowith a different implementation of RRDTool
Java infowith a different implementation of RRDTool
JavaScript (Node.js) infowith a different implementation of RRDTool
Lua
Perl
PHP infowith a wrapper library
Python
Ruby
.Net
C
C#
C++
Groovy
Java
PHP
Python
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresuser defined functionsnononono
Triggersyes infotriggers when inserted values for one or more columns fall within a specified rangeyes infoLive Eventsnonono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnonehorizontal partitioningSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyes, with selectable consistency levelnonenonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationEventual Consistency
Immediate Consistency
noneImmediate Consistency
Foreign keys infoReferential integrityyesnonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoconfigurablenono
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoby using the rrdcached daemonyesyes
Durability infoSupport for making data persistentyesyes infooptionallyyesyesyes 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 infoGPU vRAM or System RAMyesyesyes infomanaged by 'Learn by Usage'
User concepts infoAccess controlAccess rights for users and roles on table levelauthentification to access the cache via certificates or http basic authenticationnoAccess rights for users, groups and roles according to SQL-standardno

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More resources
KineticaOracle CoherenceRRDtoolSadas EngineSphinx
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