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DBMS > BigObject vs. GridGain vs. LeanXcale vs. STSdb

System Properties Comparison BigObject vs. GridGain vs. LeanXcale vs. STSdb

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Editorial information provided by DB-Engines
NameBigObject  Xexclude from comparisonGridGain  Xexclude from comparisonLeanXcale  Xexclude from comparisonSTSdb  Xexclude from comparison
DescriptionAnalytic DBMS for real-time computations and queriesGridGain is an in-memory computing platform, built on Apache IgniteA highly scalable full ACID SQL database with fast NoSQL data ingestion and GIS capabilitiesKey-Value Store with special method for indexing infooptimized for high performance using a special indexing method
Primary database modelRelational DBMS infoa hierachical model (tree) can be imposedKey-value store
Relational DBMS
Key-value store
Relational DBMS
Key-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.13
Rank#333  Overall
#147  Relational DBMS
Score1.47
Rank#154  Overall
#26  Key-value stores
#72  Relational DBMS
Score0.29
Rank#291  Overall
#41  Key-value stores
#132  Relational DBMS
Score0.04
Rank#360  Overall
#52  Key-value stores
Websitebigobject.iowww.gridgain.comwww.leanxcale.comgithub.com/­STSSoft/­STSdb4
Technical documentationdocs.bigobject.iowww.gridgain.com/­docs/­index.html
DeveloperBigObject, Inc.GridGain Systems, Inc.LeanXcaleSTS Soft SC
Initial release2015200720152011
Current releaseGridGain 8.5.14.0.8, September 2015
License infoCommercial or Open Sourcecommercial infofree community edition availablecommercialcommercialOpen Source infoGPLv2, commercial license available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, 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)
Linux
OS X
Solaris
Windows
Windows
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyes infoprimitive types and user defined types (classes)
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.noyes
Secondary indexesyesyesno
SQL infoSupport of SQLSQL-like DML and DDL statementsANSI-99 for query and DML statements, subset of DDLyes infothrough Apache Derbyno
APIs and other access methodsfluentd
ODBC
RESTful HTTP API
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
JDBC
Kafka Connector
ODBC
proprietary key/value interface
Spark Connector
.NET Client API
Supported programming languagesC#
C++
Java
PHP
Python
Ruby
Scala
C
Java
Scala
C#
Java
Server-side scripts infoStored proceduresLuayes (compute grid and cache interceptors can be used instead)no
Triggersnoyes (cache interceptors and events)no
Partitioning methods infoMethods for storing different data on different nodesnoneShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyes (replicated cache)none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes (compute grid and hadoop accelerator)nono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoautomatically between fact table and dimension tablesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayes infoRead/write lock on objects (tables, trees)yesyesyes
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.yesyesyes
User concepts infoAccess controlnoSecurity Hooks for custom implementationsno

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More resources
BigObjectGridGainLeanXcaleSTSdb
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