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DBMS > GigaSpaces vs. Kinetica vs. RRDtool vs. Solr

System Properties Comparison GigaSpaces vs. Kinetica vs. RRDtool vs. Solr

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Editorial information provided by DB-Engines
NameGigaSpaces  Xexclude from comparisonKinetica  Xexclude from comparisonRRDtool  Xexclude from comparisonSolr  Xexclude from comparison
DescriptionHigh performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsFully vectorized database across both GPUs and CPUsIndustry 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.A widely used distributed, scalable search engine based on Apache Lucene
Primary database modelDocument store
Object oriented DBMS infoValues are user defined objects
Relational DBMSTime Series DBMSSearch engine
Secondary database modelsGraph DBMS
Search engine
Spatial DBMS
Time Series DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.03
Rank#188  Overall
#32  Document stores
#6  Object oriented DBMS
Score0.66
Rank#234  Overall
#107  Relational DBMS
Score1.90
Rank#132  Overall
#11  Time Series DBMS
Score41.02
Rank#24  Overall
#3  Search engines
Websitewww.gigaspaces.comwww.kinetica.comoss.oetiker.ch/­rrdtoolsolr.apache.org
Technical documentationdocs.gigaspaces.com/­latest/­landing.htmldocs.kinetica.comoss.oetiker.ch/­rrdtool/­docsolr.apache.org/­resources.html
DeveloperGigaspaces TechnologiesKineticaTobias OetikerApache Software Foundation
Initial release2000201219992006
Current release15.5, September 20207.1, August 20211.8.0, 20229.6.1, May 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2; Commercial licenses availablecommercialOpen Source infoGPL V2 and FLOSSOpen Source infoApache Version 2
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, C++, .NetC, C++C infoImplementations in Java (e.g. RRD4J) and C# availableJava
Server operating systemsLinux
macOS
Solaris
Windows
LinuxHP-UX
Linux
All OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)
Data schemeschema-freeyesyesyes infoDynamic Fields enables on-the-fly addition of new fields
Typing infopredefined data types such as float or dateyesyesNumeric data onlyyes infosupports customizable data types and automatic typing
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.no infoXML can be used for describing objects metadatanono infoExporting into and restoring from XML files possibleyes
Secondary indexesyesyesnoyes infoAll search fields are automatically indexed
SQL infoSupport of SQLSQL-99 for query and DML statementsSQL-like DML and DDL statementsnoSolr Parallel SQL Interface
APIs and other access methodsGigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
JDBC
ODBC
RESTful HTTP API
in-process shared library
Pipes
Java API
RESTful HTTP/JSON API
Supported programming languages.Net
C++
Java
Python
Scala
C++
Java
JavaScript (Node.js)
Python
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
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresyesuser defined functionsnoJava plugins
Triggersyes, event driven architectureyes infotriggers when inserted values for one or more columns fall within a specified rangenoyes infoUser configurable commands triggered on index changes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
Source-replica replicationnoneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoMap-Reduce pattern can be built with XAP task executorsnonospark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduce
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYImmediate Consistency or Eventual Consistency depending on configurationnoneEventual Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonooptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoby using the rrdcached daemonyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infoGPU vRAM or System RAMyesyes
User concepts infoAccess controlRole-based access controlAccess rights for users and roles on table levelnoyes

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GigaSpacesKineticaRRDtoolSolr
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