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DBMS > Ehcache vs. GridDB vs. OpenQM vs. RRDtool vs. TinkerGraph

System Properties Comparison Ehcache vs. GridDB vs. OpenQM vs. RRDtool vs. TinkerGraph

Editorial information provided by DB-Engines
NameEhcache  Xexclude from comparisonGridDB  Xexclude from comparisonOpenQM infoalso called QM  Xexclude from comparisonRRDtool  Xexclude from comparisonTinkerGraph  Xexclude from comparison
DescriptionA widely adopted Java cache with tiered storage optionsScalable in-memory time series database optimized for IoT and Big DataQpenQM is a high-performance, self-tuning, multi-value DBMSIndustry 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 lightweight, in-memory graph engine that serves as a reference implementation of the TinkerPop3 API
Primary database modelKey-value storeTime Series DBMSMultivalue DBMSTime Series DBMSGraph DBMS
Secondary database modelsKey-value store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.89
Rank#67  Overall
#8  Key-value stores
Score1.95
Rank#128  Overall
#10  Time Series DBMS
Score0.27
Rank#298  Overall
#10  Multivalue DBMS
Score1.87
Rank#136  Overall
#11  Time Series DBMS
Score0.08
Rank#348  Overall
#35  Graph DBMS
Websitewww.ehcache.orggriddb.netwww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-open-qmoss.oetiker.ch/­rrdtooltinkerpop.apache.org/­docs/­current/­reference/­#tinkergraph-gremlin
Technical documentationwww.ehcache.org/­documentationdocs.griddb.netoss.oetiker.ch/­rrdtool/­doc
DeveloperTerracotta Inc, owned by Software AGToshiba CorporationRocket Software, originally Martin PhillipsTobias Oetiker
Initial release20092013199319992009
Current release3.10.0, March 20225.1, August 20223.4-121.8.0, 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2; commercial licenses availableOpen Source infoAGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also availableOpen Source infoGPLv2, extended commercial license availableOpen Source infoGPL V2 and FLOSSOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++C infoImplementations in Java (e.g. RRD4J) and C# availableJava
Server operating systemsAll OS with a Java VMLinuxAIX
FreeBSD
Linux
macOS
Raspberry Pi
Solaris
Windows
HP-UX
Linux
Data schemeschema-freeyesyes infowith some exceptionsyesschema-free
Typing infopredefined data types such as float or dateyesyes infonumerical, string, blob, geometry, boolean, timestampNumeric data onlyyes
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.nonoyesno infoExporting into and restoring from XML files possibleno
Secondary indexesnoyesyesnono
SQL infoSupport of SQLnoSQL92, SQL-like TQL (Toshiba Query Language)nonono
APIs and other access methodsJCacheJDBC
ODBC
Proprietary protocol
RESTful HTTP/JSON API
in-process shared library
Pipes
TinkerPop 3
Supported programming languagesJavaC
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
.Net
Basic
C
Java
Objective C
PHP
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
Groovy
Java
Server-side scripts infoStored proceduresnonoyesnono
Triggersyes infoCache Event Listenersyesyesnono
Partitioning methods infoMethods for storing different data on different nodesSharding infoby using Terracotta ServerShardingyesnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoby using Terracotta ServerSource-replica replicationyesnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoConnector for using GridDB as an input source and output destination for Hadoop MapReduce jobsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable Consistency (Strong, Eventual, Weak)Immediate consistency within container, eventual consistency across containersImmediate Consistencynonenone
Foreign keys infoReferential integritynonononoyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infosupports JTA and can work as an XA resourceACID at container levelACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infoby using the rrdcached daemonno
Durability infoSupport for making data persistentyes infousing a tiered cache-storage approachyesyesyesoptional
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyesyes
User concepts infoAccess controlnoAccess rights for users can be defined per databaseAccess rights can be defined down to the item levelnono
More information provided by the system vendor
EhcacheGridDBOpenQM infoalso called QMRRDtoolTinkerGraph
Specific characteristicsGridDB is a highly scalable, in-memory time series database optimized for IoT and...
» more
Competitive advantages1. Optimized for IoT Equipped with Toshiba's proprietary key-container data model...
» more
Typical application scenariosFactory IoT, Automative Industry, Energy, BEMS, Smart Community, Monitoring system.
» more
Key customersDenso International [see use case ] An Electric Power company [see use case ] Ishinomaki...
» more
Market metricsGitHub trending repository
» more
Licensing and pricing modelsOpen Source license (AGPL v3 & Apache v2) Commercial license (subscription)
» more

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
EhcacheGridDBOpenQM infoalso called QMRRDtoolTinkerGraph
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