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DBMS > BigObject vs. Ehcache vs. GridGain vs. Rockset vs. Teradata Aster

System Properties Comparison BigObject vs. Ehcache vs. GridGain vs. Rockset vs. Teradata Aster

Editorial information provided by DB-Engines
NameBigObject  Xexclude from comparisonEhcache  Xexclude from comparisonGridGain  Xexclude from comparisonRockset  Xexclude from comparisonTeradata Aster  Xexclude from comparison
Teradata Aster has been integrated into other Teradata systems and therefore will be removed from the DB-Engines ranking.
DescriptionAnalytic DBMS for real-time computations and queriesA widely adopted Java cache with tiered storage optionsGridGain is an in-memory computing platform, built on Apache IgniteA scalable, reliable search and analytics service in the cloud, built on RocksDBPlatform for big data analytics on multistructured data sources and types
Primary database modelRelational DBMS infoa hierachical model (tree) can be imposedKey-value storeKey-value store
Relational DBMS
Document storeRelational DBMS
Secondary database modelsRelational DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.13
Rank#333  Overall
#147  Relational DBMS
Score4.89
Rank#67  Overall
#8  Key-value stores
Score1.47
Rank#154  Overall
#26  Key-value stores
#72  Relational DBMS
Score0.79
Rank#211  Overall
#35  Document stores
Websitebigobject.iowww.ehcache.orgwww.gridgain.comrockset.com
Technical documentationdocs.bigobject.iowww.ehcache.org/­documentationwww.gridgain.com/­docs/­index.htmldocs.rockset.com
DeveloperBigObject, Inc.Terracotta Inc, owned by Software AGGridGain Systems, Inc.RocksetTeradata
Initial release20152009200720192005
Current release3.10.0, March 2022GridGain 8.5.1
License infoCommercial or Open Sourcecommercial infofree community edition availableOpen Source infoApache Version 2; commercial licenses availablecommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJava, C++, .NetC++
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 VMLinux
OS X
Solaris
Windows
hostedLinux
Data schemeyesschema-freeyesschema-freeFlexible Schema (defined schema, partial schema, schema free) infodefined schema within the relational store; partial schema or schema free in the Aster File Store
Typing infopredefined data types such as float or dateyesyesyesdynamic typingyes
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 infoingestion from XML files supportedyes infoin Aster File Store
Secondary indexesyesnoyesall fields are automatically indexedyes
SQL infoSupport of SQLSQL-like DML and DDL statementsnoANSI-99 for query and DML statements, subset of DDLRead-only SQL queries, including JOINsyes
APIs and other access methodsfluentd
ODBC
RESTful HTTP API
JCacheHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
HTTP RESTADO.NET
JDBC
ODBC
OLE DB
Supported programming languagesJavaC#
C++
Java
PHP
Python
Ruby
Scala
Go
Java
JavaScript (Node.js)
Python
C
C#
C++
Java
Python
R
Server-side scripts infoStored proceduresLuanoyes (compute grid and cache interceptors can be used instead)noR packages
Triggersnoyes infoCache Event Listenersyes (cache interceptors and events)nono
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infoby using Terracotta ServerShardingAutomatic shardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyes infoby using Terracotta Serveryes (replicated cache)yesyes infoDimension tables are replicated across all nodes in the cluster. The number of replicas for the file store can be configured.
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes (compute grid and hadoop accelerator)noyes infoSQL Map-Reduce Framework
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneTunable Consistency (Strong, Eventual, Weak)Immediate ConsistencyEventual ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integrityyes infoautomatically between fact table and dimension tablesnononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyes infosupports JTA and can work as an XA resourceACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayes infoRead/write lock on objects (tables, trees)yesyesyesyes
Durability infoSupport for making data persistentyesyes infousing a tiered cache-storage approachyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyesno
User concepts infoAccess controlnonoSecurity Hooks for custom implementationsAccess rights for users and organizations can be defined via Rockset consolefine grained access rights according to SQL-standard

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More resources
BigObjectEhcacheGridGainRocksetTeradata Aster
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