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DBMS > Oracle Berkeley DB vs. SiteWhere vs. Warp 10

System Properties Comparison Oracle Berkeley DB vs. SiteWhere vs. Warp 10

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Editorial information provided by DB-Engines
NameOracle Berkeley DB  Xexclude from comparisonSiteWhere  Xexclude from comparisonWarp 10  Xexclude from comparison
DescriptionWidely used in-process key-value storeM2M integration platform for persisting/querying time series dataTimeSeries DBMS specialized on timestamped geo data based on LevelDB or HBase
Primary database modelKey-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
Time Series DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.21
Rank#117  Overall
#20  Key-value stores
#3  Native XML DBMS
Score0.06
Rank#356  Overall
#35  Time Series DBMS
Score0.07
Rank#349  Overall
#32  Time Series DBMS
Websitewww.oracle.com/­database/­technologies/­related/­berkeleydb.htmlgithub.com/­sitewhere/­sitewherewww.warp10.io
Technical documentationdocs.oracle.com/­cd/­E17076_05/­html/­index.htmlsitewhere1.sitewhere.io/­index.htmlwww.warp10.io/­content/­02_Getting_started
DeveloperOracle infooriginally developed by Sleepycat, which was acquired by OracleSiteWhereSenX
Initial release199420102015
Current release18.1.40, May 2020
License infoCommercial or Open SourceOpen Source infocommercial license availableOpen Source infoCommon Public Attribution License Version 1.0Open Source infoApache License 2.0
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, Java, C++ (depending on the Berkeley DB edition)JavaJava
Server operating systemsAIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
Linux
OS X
Windows
Linux
OS X
Windows
Data schemeschema-freepredefined schemeschema-free
Typing infopredefined data types such as float or datenoyesyes
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.yes infoonly with the Berkeley DB XML editionnono
Secondary indexesyesnono
SQL infoSupport of SQLyes infoSQL interfaced based on SQLite is availablenono
APIs and other access methodsHTTP RESTHTTP API
Jupyter
WebSocket
Supported programming languages.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
Server-side scripts infoStored proceduresnoyes infoWarpScript
Triggersyes infoonly for the SQL APIno
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infobased on HBaseSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationselectable replication factor infobased on HBaseselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency infobased on HBase
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnono
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.yesnoyes
User concepts infoAccess controlnoUsers with fine-grained authorization conceptMandatory use of cryptographic tokens, containing fine-grained authorizations

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Oracle Berkeley DBSiteWhereWarp 10
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