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DBMS > Citus vs. Databend vs. Oracle Berkeley DB vs. TimesTen

System Properties Comparison Citus vs. Databend vs. Oracle Berkeley DB vs. TimesTen

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Editorial information provided by DB-Engines
NameCitus  Xexclude from comparisonDatabend  Xexclude from comparisonOracle Berkeley DB  Xexclude from comparisonTimesTen  Xexclude from comparison
DescriptionScalable hybrid operational and analytics RDBMS for big data use cases based on PostgreSQLAn open-source, elastic, and workload-aware cloud data warehouse designed to meet businesses' massive-scale analytics needs at low cost and with low complexityWidely used in-process key-value storeIn-Memory RDBMS compatible to Oracle
Primary database modelRelational DBMSRelational DBMSKey-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
Relational DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.15
Rank#117  Overall
#56  Relational DBMS
Score0.34
Rank#283  Overall
#130  Relational DBMS
Score2.01
Rank#126  Overall
#21  Key-value stores
#3  Native XML DBMS
Score1.36
Rank#161  Overall
#75  Relational DBMS
Websitewww.citusdata.comgithub.com/­datafuselabs/­databend
www.databend.com
www.oracle.com/­database/­technologies/­related/­berkeleydb.htmlwww.oracle.com/­database/­technologies/­related/­timesten.html
Technical documentationdocs.citusdata.comdocs.databend.comdocs.oracle.com/­cd/­E17076_05/­html/­index.htmldocs.oracle.com/­database/­timesten-18.1
DeveloperDatabend LabsOracle infooriginally developed by Sleepycat, which was acquired by OracleOracle, TimesTen Performance Software, HP infooriginally founded in HP Labs it was acquired by Oracle in 2005
Initial release2010202119941998
Current release8.1, December 20181.0.59, April 202318.1.40, May 202011 Release 2 (11.2.2.8.0)
License infoCommercial or Open SourceOpen Source infoAGPL, commercial license also availableOpen Source infoApache Version 2.0Open Source infocommercial license availablecommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCRustC, Java, C++ (depending on the Berkeley DB edition)
Server operating systemsLinuxhosted
Linux
macOS
AIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
AIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Data schemeyesyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesnoyes
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 infospecific XML type available, but no XML query functionalitynoyes infoonly with the Berkeley DB XML editionno
Secondary indexesyesnoyesyes
SQL infoSupport of SQLyes infostandard, with numerous extensionsyesyes infoSQL interfaced based on SQLite is availableyes
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
CLI Client
JDBC
RESTful HTTP API
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Supported programming languages.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Go
Java
JavaScript (Node.js)
Python
Rust
.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
C++
Java
PL/SQL
Server-side scripts infoStored proceduresuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.nonoPL/SQL
Triggersyesnoyes infoonly for the SQL APIno
Partitioning methods infoMethods for storing different data on different nodesShardingnonenonenone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication infoother methods possible by using 3rd party extensionsnoneSource-replica replicationMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integrityyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyesACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoby means of logfiles and checkpoints
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardUsers with fine-grained authorization concept, user rolesnofine grained access rights according to SQL-standard

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More resources
CitusDatabendOracle Berkeley DBTimesTen
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