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DBMS > BigObject vs. Ehcache vs. GeoSpock vs. ReductStore

System Properties Comparison BigObject vs. Ehcache vs. GeoSpock vs. ReductStore

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Editorial information provided by DB-Engines
NameBigObject  Xexclude from comparisonEhcache  Xexclude from comparisonGeoSpock  Xexclude from comparisonReductStore  Xexclude from comparison
GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.
DescriptionAnalytic DBMS for real-time computations and queriesA widely adopted Java cache with tiered storage optionsSpatial and temporal data processing engine for extreme data scaleDesigned to manage unstructured time-series data efficiently, providing unique features such as storing time-stamped blobs with labels, customizable data retention policies, and a straightforward FIFO quota system.
Primary database modelRelational DBMS infoa hierachical model (tree) can be imposedKey-value storeRelational DBMSTime Series DBMS
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.19
Rank#329  Overall
#146  Relational DBMS
Score4.64
Rank#68  Overall
#8  Key-value stores
Score0.05
Rank#384  Overall
#44  Time Series DBMS
Websitebigobject.iowww.ehcache.orggeospock.comgithub.com/­reductstore
www.reduct.store
Technical documentationdocs.bigobject.iowww.ehcache.org/­documentationwww.reduct.store/­docs
DeveloperBigObject, Inc.Terracotta Inc, owned by Software AGGeoSpockReductStore LLC
Initial release201520092023
Current release3.10.0, March 20222.0, September 20191.9, March 2024
License infoCommercial or Open Sourcecommercial infofree community edition availableOpen Source infoApache Version 2; commercial licenses availablecommercialOpen Source infoBusiness Source License 1.1
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJava, JavascriptC++, Rust
Server operating systemsLinux 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 VMhostedDocker
Linux
macOS
Windows
Data schemeyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyes
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
Secondary indexesyesnotemporal, categorical
SQL infoSupport of SQLSQL-like DML and DDL statementsnoANSI SQL for query only (using Presto)
APIs and other access methodsfluentd
ODBC
RESTful HTTP API
JCacheJDBCHTTP API
Supported programming languagesJavaC++
JavaScript (Node.js)
Python
Rust
Server-side scripts infoStored proceduresLuanono
Triggersnoyes infoCache Event Listenersno
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infoby using Terracotta ServerAutomatic sharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyes infoby using Terracotta Server
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneTunable Consistency (Strong, Eventual, Weak)Immediate Consistency
Foreign keys infoReferential integrityyes infoautomatically between fact table and dimension tablesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyes infosupports JTA and can work as an XA resourceno
Concurrency infoSupport for concurrent manipulation of datayes infoRead/write lock on objects (tables, trees)yesyes
Durability infoSupport for making data persistentyesyes 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.yesyesno
User concepts infoAccess controlnonoAccess rights for users can be defined per table

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More resources
BigObjectEhcacheGeoSpockReductStore
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