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DBMS > GridDB vs. Oracle Berkeley DB vs. SQream DB

System Properties Comparison GridDB vs. Oracle Berkeley DB vs. SQream DB

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Editorial information provided by DB-Engines
NameGridDB  Xexclude from comparisonOracle Berkeley DB  Xexclude from comparisonSQream DB  Xexclude from comparison
DescriptionScalable in-memory time series database optimized for IoT and Big DataWidely used in-process key-value storea GPU-based, columnar RDBMS for big data analytics workloads
Primary database modelTime Series DBMSKey-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
Relational DBMS
Secondary database modelsKey-value store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.98
Rank#114  Overall
#9  Time Series DBMS
Score1.74
Rank#129  Overall
#21  Key-value stores
#3  Native XML DBMS
Score0.64
Rank#228  Overall
#105  Relational DBMS
Websitegriddb.netwww.oracle.com/­database/­technologies/­related/­berkeleydb.htmlsqream.com
Technical documentationdocs.griddb.netdocs.oracle.com/­cd/­E17076_05/­html/­index.htmldocs.sqream.com
DeveloperToshiba CorporationOracle infooriginally developed by Sleepycat, which was acquired by OracleSQream Technologies
Initial release201319942017
Current release5.1, August 202218.1.40, May 20202022.1.6, December 2022
License infoCommercial or Open SourceOpen Source infoAGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also availableOpen Source infocommercial license availablecommercial
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C, Java, C++ (depending on the Berkeley DB edition)C++, CUDA, Haskell, Java, Scala
Server operating systemsLinuxAIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
Linux
Data schemeyesschema-freeyes
Typing infopredefined data types such as float or dateyes infonumerical, string, blob, geometry, boolean, timestampnoyes, ANSI Standard SQL Types
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 infoonly with the Berkeley DB XML edition
Secondary indexesyesyesno
SQL infoSupport of SQLSQL92, SQL-like TQL (Toshiba Query Language)yes infoSQL interfaced based on SQLite is availableyes
APIs and other access methodsJDBC
ODBC
Proprietary protocol
RESTful HTTP/JSON API
.Net
JDBC
ODBC
Supported programming languagesC
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
.Net infoFigaro is a .Net framework assembly that extends Berkeley DB XML into an embeddable database engine for .NET
others infoThird-party libraries to manipulate Berkeley DB files are available for many languages
C
C#
C++
Java
JavaScript (Node.js) info3rd party binding
Perl
Python
Tcl
C++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnonouser defined functions in Python
Triggersyesyes infoonly for the SQL APIno
Partitioning methods infoMethods for storing different data on different nodesShardingnonehorizontal and vertical partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsConnector for using GridDB as an input source and output destination for Hadoop MapReduce jobsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency within container, eventual consistency across containersImmediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID at container levelACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlAccess rights for users can be defined per databaseno
More information provided by the system vendor
GridDBOracle Berkeley DBSQream DB
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
GridDBOracle Berkeley DBSQream DB
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