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

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

Editorial information provided by DB-Engines
NameFirebase Realtime Database  Xexclude from comparisonGreenplum  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonKinetica  Xexclude from comparisonOracle NoSQL  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 CPUsA multi-model, scalable, distributed NoSQL database, designed to provide highly reliable, flexible, and available data management across a configurable set of storage nodes
Primary database modelDocument storeRelational DBMSTime Series DBMSRelational DBMSDocument store
Key-value store
Relational DBMS
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
Score2.95
Rank#100  Overall
#17  Document stores
#17  Key-value stores
#50  Relational DBMS
Websitefirebase.google.com/­products/­realtime-databasegreenplum.orgwww.hawkular.orgwww.kinetica.comwww.oracle.com/­database/­nosql/­technologies/­nosql
Technical documentationfirebase.google.com/­docs/­databasedocs.greenplum.orgwww.hawkular.org/­hawkular-metrics/­docs/­user-guidedocs.kinetica.comdocs.oracle.com/­en/­database/­other-databases/­nosql-database/­index.html
DeveloperGoogle infoacquired by Google 2014Pivotal Software Inc.Community supported by Red HatKineticaOracle
Initial release20122005201420122011
Current release7.0.0, September 20237.1, August 202123.3, December 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open Source infoApache 2.0commercialOpen Source infoProprietary for Enterprise Edition (Oracle Database EE license has Oracle NoSQL database EE covered: details)
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++Java
Server operating systemshostedLinuxLinux
OS X
Windows
LinuxLinux
Solaris SPARC/x86
Data schemeschema-freeyesschema-freeyesSupport Fixed schema and Schema-less deployment with the ability to interoperate between them.
Typing infopredefined data types such as float or dateyesyesyesyesoptional
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 4.2nonono
Secondary indexesyesyesnoyesyes
SQL infoSupport of SQLnoyesnoSQL-like DML and DDL statementsSQL-like DML and DDL statements
APIs and other access methodsAndroid
iOS
JavaScript API
RESTful HTTP API
JDBC
ODBC
HTTP RESTJDBC
ODBC
RESTful HTTP API
RESTful HTTP API
Supported programming languagesJava
JavaScript
Objective-C
C
Java
Perl
Python
R
Go
Java
Python
Ruby
C++
Java
JavaScript (Node.js)
Python
C
C#
Go
Java
JavaScript (Node.js)
Python
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 rangeno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infobased on CassandraShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationselectable replication factor infobased on CassandraSource-replica replicationElectable source-replica replication per shard. Support distributed global deployment with Multi-region table feature
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnonowith Hadoop integration
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 configurationEventual Consistency
Immediate Consistency infodepending on configuration
Foreign keys infoReferential integritynoyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACIDnonoconfigurable infoACID within a storage node (=shard)
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
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 infooff heap cache
User concepts infoAccess controlyes, based on authentication and database rulesfine grained access rights according to SQL-standardnoAccess rights for users and roles on table levelAccess rights for users and roles

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More resources
Firebase Realtime DatabaseGreenplumHawkular MetricsKineticaOracle NoSQL
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