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DBMS > Apache Pinot vs. Brytlyt vs. Oracle Berkeley DB vs. Prometheus

System Properties Comparison Apache Pinot vs. Brytlyt vs. Oracle Berkeley DB vs. Prometheus

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Editorial information provided by DB-Engines
NameApache Pinot  Xexclude from comparisonBrytlyt  Xexclude from comparisonOracle Berkeley DB  Xexclude from comparisonPrometheus  Xexclude from comparison
DescriptionRealtime distributed OLAP datastore, designed to answer OLAP queries with low latencyScalable GPU-accelerated RDBMS for very fast analytic and streaming workloads, leveraging PostgreSQLWidely used in-process key-value storeOpen-source Time Series DBMS and monitoring system
Primary database modelRelational DBMSRelational DBMSKey-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.38
Rank#275  Overall
#126  Relational DBMS
Score0.38
Rank#276  Overall
#127  Relational DBMS
Score2.01
Rank#126  Overall
#21  Key-value stores
#3  Native XML DBMS
Score7.69
Rank#50  Overall
#3  Time Series DBMS
Websitepinot.apache.orgbrytlyt.iowww.oracle.com/­database/­technologies/­related/­berkeleydb.htmlprometheus.io
Technical documentationdocs.pinot.apache.orgdocs.brytlyt.iodocs.oracle.com/­cd/­E17076_05/­html/­index.htmlprometheus.io/­docs
DeveloperApache Software Foundation and contributorsBrytlytOracle infooriginally developed by Sleepycat, which was acquired by Oracle
Initial release2015201619942015
Current release1.0.0, September 20235.0, August 202318.1.40, May 2020
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Source infocommercial license availableOpen Source infoApache 2.0
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 languageJavaC, C++ and CUDAC, Java, C++ (depending on the Berkeley DB edition)Go
Server operating systemsAll OS with a Java JDK11 or higherLinux
OS X
Windows
AIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
Linux
Windows
Data schemeyesyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesnoNumeric data only
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.yes infoonly with the Berkeley DB XML editionno infoImport of XML data possible
Secondary indexesyesyesno
SQL infoSupport of SQLSQL-like query languageyesyes infoSQL interfaced based on SQLite is availableno
APIs and other access methodsJDBCADO.NET
JDBC
native C library
ODBC
streaming API for large objects
RESTful HTTP/JSON API
Supported programming languagesGo
Java
Python
.Net
C
C++
Delphi
Java
Perl
Python
Tcl
.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
.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
Server-side scripts infoStored proceduresuser defined functions infoin PL/pgSQLnono
Triggersyesyes infoonly for the SQL APIno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationSource-replica replicationyes infoby Federation
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistencynone
Foreign keys infoReferential integrityyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyes
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.yesno
User concepts infoAccess controlfine grained access rights according to SQL-standardnono

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More resources
Apache PinotBrytlytOracle Berkeley DBPrometheus
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