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DBMS > GigaSpaces vs. GridDB vs. jBASE vs. Sqrrl

System Properties Comparison GigaSpaces vs. GridDB vs. jBASE vs. Sqrrl

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Editorial information provided by DB-Engines
NameGigaSpaces  Xexclude from comparisonGridDB  Xexclude from comparisonjBASE  Xexclude from comparisonSqrrl  Xexclude from comparison
Sqrrl has been acquired by Amazon and became a part of Amazon Web Services. It has been removed from the DB-Engines ranking.
DescriptionHigh performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsScalable in-memory time series database optimized for IoT and Big DataA robust multi-value DBMS comprising development tools and middlewareAdaptable, secure NoSQL built on Apache Accumulo
Primary database modelDocument store
Object oriented DBMS infoValues are user defined objects
Time Series DBMSMultivalue DBMSDocument store
Graph DBMS
Key-value store
Wide column store
Secondary database modelsGraph DBMS
Search engine
Key-value store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.03
Rank#188  Overall
#32  Document stores
#6  Object oriented DBMS
Score2.09
Rank#120  Overall
#10  Time Series DBMS
Score1.49
Rank#156  Overall
#3  Multivalue DBMS
Websitewww.gigaspaces.comgriddb.netwww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-jbasesqrrl.com
Technical documentationdocs.gigaspaces.com/­latest/­landing.htmldocs.griddb.netdocs.rocketsoftware.com/­bundle?labelkey=jbase_5.9
DeveloperGigaspaces TechnologiesToshiba CorporationRocket Software (formerly Zumasys)Amazon infooriginally Sqrrl Data, Inc.
Initial release2000201319912012
Current release15.5, September 20205.1, August 20225.7
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 availablecommercialcommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, C++, .NetC++Java
Server operating systemsLinux
macOS
Solaris
Windows
LinuxAIX
Linux
Windows
Linux
Data schemeschema-freeyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyes infonumerical, string, blob, geometry, boolean, timestampoptionalyes
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.no infoXML can be used for describing objects metadatanoyes
Secondary indexesyesyesyes
SQL infoSupport of SQLSQL-99 for query and DML statementsSQL92, SQL-like TQL (Toshiba Query Language)Embedded SQL for jBASE in BASICno
APIs and other access methodsGigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
JDBC
ODBC
Proprietary protocol
RESTful HTTP/JSON API
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
SOAP-based API
Accumulo Shell
Java API
JDBC
ODBC
RESTful HTTP API
Thrift
Supported programming languages.Net
C++
Java
Python
Scala
C
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
.Net
Basic
Jabbascript
Java
Actionscript
C infousing GLib
C#
C++
Cocoa
Delphi
Erlang
Go
Haskell
Java
JavaScript
OCaml
Perl
PHP
Python
Ruby
Smalltalk
Server-side scripts infoStored proceduresyesnoyesno
Triggersyes, event driven architectureyesyesno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingSharding infomaking use of Hadoop
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
Source-replica replicationyesselectable replication factor infomaking use of Hadoop
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoMap-Reduce pattern can be built with XAP task executorsConnector for using GridDB as an input source and output destination for Hadoop MapReduce jobsnoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYImmediate consistency within container, eventual consistency across containersImmediate Consistency infoDocument store kept consistent with combination of global timestamping, row-level transactions, and server-side consistency resolution.
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID at container levelACIDAtomic updates per row, document, or graph entity
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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 controlRole-based access controlAccess rights for users can be defined per databaseAccess rights can be defined down to the item levelCell-level Security, Data-Centric Security, Role-Based Access Control (RBAC), Attribute-Based Access Control (ABAC)
More information provided by the system vendor
GigaSpacesGridDBjBASESqrrl
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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GigaSpacesGridDBjBASESqrrl
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