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DBMS > Firebase Realtime Database vs. Greenplum vs. Hawkular Metrics vs. Kinetica vs. Oracle Berkeley DB

System Properties Comparison Firebase Realtime Database vs. Greenplum vs. Hawkular Metrics vs. Kinetica vs. Oracle Berkeley DB

Editorial information provided by DB-Engines
NameFirebase Realtime Database  Xexclude from comparisonGreenplum  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonKinetica  Xexclude from comparisonOracle Berkeley DB  Xexclude from comparison
DescriptionCloud-hosted realtime document store. iOS, Android, and JavaScript clients share one Realtime Database instance and automatically receive updates with the newest data.Analytic Database platform built on PostgreSQL. Full name is Pivotal Greenplum Database infoA logical database in Greenplum is an array of individual PostgreSQL databases working together to present a single database image.Hawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.Fully vectorized database across both GPUs and CPUsWidely used in-process key-value store
Primary database modelDocument storeRelational DBMSTime Series DBMSRelational DBMSKey-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
Secondary database modelsDocument store
Spatial DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score14.29
Rank#39  Overall
#6  Document stores
Score8.37
Rank#48  Overall
#30  Relational DBMS
Score0.00
Rank#379  Overall
#40  Time Series DBMS
Score0.64
Rank#236  Overall
#109  Relational DBMS
Score2.21
Rank#117  Overall
#20  Key-value stores
#3  Native XML DBMS
Websitefirebase.google.com/­products/­realtime-databasegreenplum.orgwww.hawkular.orgwww.kinetica.comwww.oracle.com/­database/­technologies/­related/­berkeleydb.html
Technical documentationfirebase.google.com/­docs/­databasedocs.greenplum.orgwww.hawkular.org/­hawkular-metrics/­docs/­user-guidedocs.kinetica.comdocs.oracle.com/­cd/­E17076_05/­html/­index.html
DeveloperGoogle infoacquired by Google 2014Pivotal Software Inc.Community supported by Red HatKineticaOracle infooriginally developed by Sleepycat, which was acquired by Oracle
Initial release20122005201420121994
Current release7.0.0, September 20237.1, August 202118.1.40, May 2020
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open Source infoApache 2.0commercialOpen Source infocommercial license available
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC, C++C, Java, C++ (depending on the Berkeley DB edition)
Server operating systemshostedLinuxLinux
OS X
Windows
LinuxAIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
Data schemeschema-freeyesschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyesno
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.noyes infosince Version 4.2nonoyes infoonly with the Berkeley DB XML edition
Secondary indexesyesyesnoyesyes
SQL infoSupport of SQLnoyesnoSQL-like DML and DDL statementsyes infoSQL interfaced based on SQLite is available
APIs and other access methodsAndroid
iOS
JavaScript API
RESTful HTTP API
JDBC
ODBC
HTTP RESTJDBC
ODBC
RESTful HTTP API
Supported programming languagesJava
JavaScript
Objective-C
C
Java
Perl
Python
R
Go
Java
Python
Ruby
C++
Java
JavaScript (Node.js)
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
Server-side scripts infoStored procedureslimited functionality with using 'rules'yesnouser defined functionsno
TriggersCallbacks are triggered when data changesyesyes infovia Hawkular Alertingyes infotriggers when inserted values for one or more columns fall within a specified rangeyes infoonly for the SQL API
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infobased on CassandraShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationselectable replication factor infobased on CassandraSource-replica replicationSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Immediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynoyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACIDnonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes infoGPU vRAM or System RAMyes
User concepts infoAccess controlyes, based on authentication and database rulesfine grained access rights according to SQL-standardnoAccess rights for users and roles on table levelno

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More resources
Firebase Realtime DatabaseGreenplumHawkular MetricsKineticaOracle Berkeley DB
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