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DBMS > Brytlyt vs. FeatureBase vs. Oracle Berkeley DB vs. TimesTen

System Properties Comparison Brytlyt vs. FeatureBase vs. Oracle Berkeley DB vs. TimesTen

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Editorial information provided by DB-Engines
NameBrytlyt  Xexclude from comparisonFeatureBase  Xexclude from comparisonOracle Berkeley DB  Xexclude from comparisonTimesTen  Xexclude from comparison
DescriptionScalable GPU-accelerated RDBMS for very fast analytic and streaming workloads, leveraging PostgreSQLReal-time database platform that powers real-time analytics and machine learning applications by simultaneously executing low-latency, high-throughput, and highly concurrent workloads.Widely used in-process key-value storeAn in-memory SQL relational database that delivers microsecond response and high throughput for OLTP applications. TimesTen can be deployed as a standalone database or as a cache to a backend Oracle database.
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
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.27
Rank#292  Overall
#132  Relational DBMS
Score0.23
Rank#296  Overall
#134  Relational DBMS
Score1.88
Rank#130  Overall
#23  Key-value stores
#3  Native XML DBMS
Score1.26
Rank#164  Overall
#75  Relational DBMS
Websitebrytlyt.iowww.featurebase.comwww.oracle.com/­database/­technologies/­related/­berkeleydb.htmlwww.oracle.com/­database/­technologies/­related/­timesten.html
Technical documentationdocs.brytlyt.iodocs.featurebase.comdocs.oracle.com/­cd/­E17076_05/­html/­index.htmldocs.oracle.com/­en/­database/­other-databases/­timesten/­index.html
DeveloperBrytlytMolecula and Pilosa Open Source ContributorsOracle infooriginally developed by Sleepycat, which was acquired by OracleOracle infooriginally founded in HP Labs it was acquired by Oracle in 2005
Initial release2016201719941998
Current release5.0, August 20232022, May 202218.1.40, May 2020Release 22.1
License infoCommercial or Open SourcecommercialcommercialOpen 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 languageC, C++ and CUDAGoC, Java, C++ (depending on the Berkeley DB edition)
Server operating systemsLinux
OS X
Windows
Linux
macOS
AIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
IBM AIX Power PC 64-bit
Linux arm64
Linux x86-64
Solaris SPARC 64
Solaris SPARC/x86
Solaris x86-64
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 functionality.noyes infoonly with the Berkeley DB XML editionno
Secondary indexesyesnoyesyes
SQL infoSupport of SQLyesSQL queriesyes infoSQL interfaced based on SQLite is availableyes
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
gRPC
JDBC
Kafka Connector
ODBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Pro*C/C++ programming interfaces
SQL and PL/SQL via JDBC
Supported programming languages.Net
C
C++
Delphi
Java
Perl
Python
Tcl
Java
Python
.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
Node.js
PL/SQL
Python
Server-side scripts infoStored proceduresuser defined functions infoin PL/pgSQLnoPL/SQL
Triggersyesnoyes infoonly for the SQL APIno
Partitioning methods infoMethods for storing different data on different nodesShardingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyesSource-replica replicationMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integrityyesyesnoyes
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 persistentyesyes, using Linux fsyncyesyes 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.yesyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardnofine grained access rights according to SQL-standard

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More resources
BrytlytFeatureBaseOracle Berkeley DBTimesTen
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