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DBMS > Oracle Berkeley DB vs. QuestDB vs. STSdb vs. TerminusDB

System Properties Comparison Oracle Berkeley DB vs. QuestDB vs. STSdb vs. TerminusDB

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Editorial information provided by DB-Engines
NameOracle Berkeley DB  Xexclude from comparisonQuestDB  Xexclude from comparisonSTSdb  Xexclude from comparisonTerminusDB infoformer name was DataChemist  Xexclude from comparison
DescriptionWidely used in-process key-value storeA high performance open source SQL database for time series dataKey-Value Store with special method for indexing infooptimized for high performance using a special indexing methodScalable Graph Database platform making enterprise data available by exploiting inferred entities and relationships
Primary database modelKey-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
Time Series DBMSKey-value storeGraph DBMS
Secondary database modelsRelational DBMSDocument store
RDF store
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
Score0.04
Rank#360  Overall
#52  Key-value stores
Score0.17
Rank#325  Overall
#29  Graph DBMS
Websitewww.oracle.com/­database/­technologies/­related/­berkeleydb.htmlquestdb.iogithub.com/­STSSoft/­STSdb4terminusdb.com
Technical documentationdocs.oracle.com/­cd/­E17076_05/­html/­index.htmlquestdb.io/­docsterminusdb.github.io/­terminusdb/­#
DeveloperOracle infooriginally developed by Sleepycat, which was acquired by OracleQuestDB Technology IncSTS Soft SCDataChemist Ltd.
Initial release1994201420112018
Current release18.1.40, May 20204.0.8, September 201511.0.0, January 2023
License infoCommercial or Open SourceOpen Source infocommercial license availableOpen Source infoApache 2.0Open Source infoGPLv2, commercial license availableOpen Source infoGPL V3
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, Java, C++ (depending on the Berkeley DB edition)Java (Zero-GC), C++, RustC#Prolog, Rust
Server operating systemsAIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
Linux
macOS
Windows
WindowsLinux
Data schemeschema-freeyes infoschema-free via InfluxDB Line Protocolyesyes
Typing infopredefined data types such as float or datenoyesyes infoprimitive types and user defined types (classes)yes
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 availableSQL with time-series extensionsnoSQL-like query language (WOQL)
APIs and other access methodsHTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
PostgreSQL wire protocol
.NET Client APIOWL
RESTful HTTP API
WOQL (Web Object Query Language)
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
JavaScript
Python
Server-side scripts infoStored proceduresnononoyes
Triggersyes infoonly for the SQL APInonoyes
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioning (by timestamps)noneGraph Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationSource-replica replication with eventual consistencynoneJournaling Streams
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID for single-table writesnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoin-memory journaling
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infothrough memory mapped files
User concepts infoAccess controlnonoRole-based access control
More information provided by the system vendor
Oracle Berkeley DBQuestDBSTSdbTerminusDB infoformer name was DataChemist
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...
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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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