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DBMS > ArcadeDB vs. BigObject vs. Ehcache vs. GridDB

System Properties Comparison ArcadeDB vs. BigObject vs. Ehcache vs. GridDB

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Editorial information provided by DB-Engines
NameArcadeDB  Xexclude from comparisonBigObject  Xexclude from comparisonEhcache  Xexclude from comparisonGridDB  Xexclude from comparison
DescriptionFast and scalable multi-model DBMS, originally forked from OrientDB but most of the code has been rewrittenAnalytic DBMS for real-time computations and queriesA widely adopted Java cache with tiered storage optionsScalable in-memory time series database optimized for IoT and Big Data
Primary database modelDocument store
Graph DBMS
Key-value store
Time Series DBMS infoin next version
Relational DBMS infoa hierachical model (tree) can be imposedKey-value storeTime Series DBMS
Secondary database modelsKey-value store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.10
Rank#358  Overall
#48  Document stores
#38  Graph DBMS
#52  Key-value stores
#35  Time Series DBMS
Score0.19
Rank#329  Overall
#146  Relational DBMS
Score4.64
Rank#68  Overall
#8  Key-value stores
Score2.09
Rank#120  Overall
#10  Time Series DBMS
Websitearcadedb.combigobject.iowww.ehcache.orggriddb.net
Technical documentationdocs.arcadedb.comdocs.bigobject.iowww.ehcache.org/­documentationdocs.griddb.net
DeveloperArcade DataBigObject, Inc.Terracotta Inc, owned by Software AGToshiba Corporation
Initial release2021201520092013
Current releaseSeptember 20213.10.0, March 20225.1, August 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercial infofree community edition availableOpen Source infoApache Version 2; commercial licenses availableOpen Source infoAGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaC++
Server operating systemsAll OS with a Java VMLinux infodistributed as a docker-image
OS X infodistributed as a docker-image (boot2docker)
Windows infodistributed as a docker-image (boot2docker)
All OS with a Java VMLinux
Data schemeschema-freeyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesyes infonumerical, string, blob, geometry, boolean, timestamp
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.nononono
Secondary indexesyesyesnoyes
SQL infoSupport of SQLSQL-like query language, no joinsSQL-like DML and DDL statementsnoSQL92, SQL-like TQL (Toshiba Query Language)
APIs and other access methodsJDBC
MongoDB API
OpenCypher
PostgreSQL wire protocol
Redis API
RESTful HTTP/JSON API
TinkerPop Gremlin
fluentd
ODBC
RESTful HTTP API
JCacheJDBC
ODBC
Proprietary protocol
RESTful HTTP/JSON API
Supported programming languagesJavaJavaC
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresLuanono
Triggersnoyes infoCache Event Listenersyes
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infoby using Terracotta ServerSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationnoneyes infoby using Terracotta ServerSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoConnector for using GridDB as an input source and output destination for Hadoop MapReduce jobs
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencynoneTunable Consistency (Strong, Eventual, Weak)Immediate consistency within container, eventual consistency across containers
Foreign keys infoReferential integrityyes inforelationship in graphsyes infoautomatically between fact table and dimension tablesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoyes infosupports JTA and can work as an XA resourceACID at container level
Concurrency infoSupport for concurrent manipulation of datayesyes infoRead/write lock on objects (tables, trees)yesyes
Durability infoSupport for making data persistentyesyesyes infousing a tiered cache-storage approachyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes
User concepts infoAccess controlnonoAccess rights for users can be defined per database
More information provided by the system vendor
ArcadeDBBigObjectEhcacheGridDB
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
ArcadeDBBigObjectEhcacheGridDB
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