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DBMS > Brytlyt vs. etcd vs. Kdb vs. Oracle Berkeley DB

System Properties Comparison Brytlyt vs. etcd vs. Kdb vs. Oracle Berkeley DB

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Editorial information provided by DB-Engines
NameBrytlyt  Xexclude from comparisonetcd  Xexclude from comparisonKdb  Xexclude from comparisonOracle Berkeley DB  Xexclude from comparison
DescriptionScalable GPU-accelerated RDBMS for very fast analytic and streaming workloads, leveraging PostgreSQLA distributed reliable key-value storeHigh performance Time Series DBMSWidely used in-process key-value store
Primary database modelRelational DBMSKey-value storeTime Series DBMS
Vector DBMS
Key-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.29
Rank#288  Overall
#131  Relational DBMS
Score7.25
Rank#54  Overall
#5  Key-value stores
Score7.55
Rank#53  Overall
#3  Time Series DBMS
#1  Vector DBMS
Score2.21
Rank#117  Overall
#20  Key-value stores
#3  Native XML DBMS
Websitebrytlyt.ioetcd.io
github.com/­etcd-io/­etcd
kx.comwww.oracle.com/­database/­technologies/­related/­berkeleydb.html
Technical documentationdocs.brytlyt.ioetcd.io/­docs
github.com/­etcd-io/­etcd/­tree/­master/­Documentation
code.kx.comdocs.oracle.com/­cd/­E17076_05/­html/­index.html
DeveloperBrytlytKx Systems, a division of First Derivatives plcOracle infooriginally developed by Sleepycat, which was acquired by Oracle
Initial release20162000 infokdb was released 2000, kdb+ in 20031994
Current release5.0, August 20233.4, August 20193.6, May 201818.1.40, May 2020
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0commercial infofree 32-bit versionOpen Source infocommercial license available
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 CUDAGoqC, Java, C++ (depending on the Berkeley DB edition)
Server operating systemsLinux
OS X
Windows
FreeBSD
Linux
Windows infoexperimental
Linux
OS X
Solaris
Windows
AIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
Data schemeyesschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesnoyesno
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.noyesyes infoonly with the Berkeley DB XML edition
Secondary indexesyesnoyes infotable attribute 'grouped'yes
SQL infoSupport of SQLyesnoSQL-like query language (q)yes infoSQL interfaced based on SQLite is available
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
gRPC
JSON over HTTP
HTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket
Supported programming languages.Net
C
C++
Delphi
Java
Perl
Python
Tcl
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Rust
Scala
Tcl
C
C#
C++
Go
J
Java
JavaScript
Lua
MatLab
Perl
PHP
Python
R
Scala
.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 proceduresuser defined functions infoin PL/pgSQLnouser defined functionsno
Triggersyesyes, watching key changesyes infowith viewsyes infoonly for the SQL API
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationUsing Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas.Source-replica replicationSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono infosimilar paradigm used for internal processingno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyesyes
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-standardnorights management via user accountsno
More information provided by the system vendor
BrytlytetcdKdbOracle Berkeley DB
Specific characteristicsIntegrated columnar database & programming system for streaming, real time and historical...
» more
Competitive advantagesprovides seamless scalability; runs on industry standard server platforms; is top-ranked...
» more
Typical application scenariostick database streaming sensor data massive intelligence applications oil and gas...
» more
Key customersGoldman Sachs Morgan Stanley Merrill Lynch J.P. Morgan Deutsche Bank IEX Securities...
» more
Market metricskdb+ performance and reliability proven by our customers in critical infrastructure...
» more
Licensing and pricing modelsupon request
» more

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BrytlytetcdKdbOracle Berkeley DB
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