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DBMS > Oracle Berkeley DB vs. QuestDB vs. RDFox

System Properties Comparison Oracle Berkeley DB vs. QuestDB vs. RDFox

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Editorial information provided by DB-Engines
NameOracle Berkeley DB  Xexclude from comparisonQuestDB  Xexclude from comparisonRDFox  Xexclude from comparison
DescriptionWidely used in-process key-value storeA high performance open source SQL database for time series dataHigh performance knowledge graph and semantic reasoning engine
Primary database modelKey-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
Time Series DBMSGraph DBMS
RDF store
Secondary database modelsRelational DBMSRelational 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
Score2.52
Rank#109  Overall
#9  Time Series DBMS
Score0.23
Rank#308  Overall
#25  Graph DBMS
#14  RDF stores
Websitewww.oracle.com/­database/­technologies/­related/­berkeleydb.htmlquestdb.iowww.oxfordsemantic.tech
Technical documentationdocs.oracle.com/­cd/­E17076_05/­html/­index.htmlquestdb.io/­docsdocs.oxfordsemantic.tech
DeveloperOracle infooriginally developed by Sleepycat, which was acquired by OracleQuestDB Technology IncOxford Semantic Technologies
Initial release199420142017
Current release18.1.40, May 20206.0, Septermber 2022
License infoCommercial or Open SourceOpen Source infocommercial license availableOpen Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC, Java, C++ (depending on the Berkeley DB edition)Java (Zero-GC), C++, RustC++
Server operating systemsAIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
Linux
macOS
Windows
Linux
macOS
Windows
Data schemeschema-freeyes infoschema-free via InfluxDB Line Protocolyes infoRDF schemas
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 editionno
Secondary indexesyesno
SQL infoSupport of SQLyes infoSQL interfaced based on SQLite is availableSQL with time-series extensionsno
APIs and other access methodsHTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
PostgreSQL wire protocol
RESTful HTTP API
SPARQL 1.1
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
C infoPostgreSQL driver
C++
Go
Java
JavaScript (Node.js)
Python
Rust infoover HTTP
C
Java
Server-side scripts infoStored proceduresnono
Triggersyes infoonly for the SQL APIno
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioning (by timestamps)
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationSource-replica replication with eventual consistencyreplication via a shared file system
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency in stand-alone mode, Eventual Consistency in replicated setups
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID for single-table writesACID
Concurrency infoSupport for concurrent manipulation of datayes
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 infothrough memory mapped filesyes
User concepts infoAccess controlnoRoles, resources, and access types
More information provided by the system vendor
Oracle Berkeley DBQuestDBRDFox
Specific characteristicsRelational model with native time series support Column-based storage and time partitioned...
» more
Competitive advantagesHigh ingestion throughput: peak of 4M rows/sec (TSBS Benchmark) Code optimizations...
» more
Typical application scenariosFinancial tick data Industrial IoT Application Metrics Monitoring
» more
Key customersBanks & Hedge funds, Yahoo, OKX, Airbus, Aquis Exchange, Net App, Cloudera, Airtel,...
» more
Licensing and pricing modelsOpen source Apache 2.0 QuestDB Enterprise QuestDB Cloud
» more
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