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DBMS > AgensGraph vs. Apache Pinot vs. Firebase Realtime Database vs. Greenplum vs. Kdb

System Properties Comparison AgensGraph vs. Apache Pinot vs. Firebase Realtime Database vs. Greenplum vs. Kdb

Editorial information provided by DB-Engines
NameAgensGraph  Xexclude from comparisonApache Pinot  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparisonGreenplum  Xexclude from comparisonKdb  Xexclude from comparison
DescriptionMulti-model database supporting relational and graph data models and built upon PostgreSQLRealtime distributed OLAP datastore, designed to answer OLAP queries with low latencyCloud-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.High performance Time Series DBMS
Primary database modelGraph DBMS
Relational DBMS
Relational DBMSDocument storeRelational DBMSTime Series DBMS
Vector DBMS
Secondary database modelsDocument store
Spatial DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.17
Rank#320  Overall
#29  Graph DBMS
#143  Relational DBMS
Score0.35
Rank#274  Overall
#128  Relational DBMS
Score13.60
Rank#39  Overall
#6  Document stores
Score7.71
Rank#46  Overall
#29  Relational DBMS
Score7.73
Rank#45  Overall
#2  Time Series DBMS
#1  Vector DBMS
Websitebitnine.net/­agensgraphpinot.apache.orgfirebase.google.com/­products/­realtime-databasegreenplum.orgkx.com
Technical documentationbitnine.net/­documentationdocs.pinot.apache.orgfirebase.google.com/­docs/­databasedocs.greenplum.orgcode.kx.com
DeveloperBitnine Global Inc.Apache Software Foundation and contributorsGoogle infoacquired by Google 2014Pivotal Software Inc.Kx Systems, a division of First Derivatives plc
Initial release20162015201220052000 infokdb was released 2000, kdb+ in 2003
Current release2.1, December 20181.0.0, September 20237.0.0, September 20233.6, May 2018
License infoCommercial or Open SourceOpen Source infoApache License 2.0Open Source infoApache Version 2.0commercialOpen Source infoApache 2.0commercial infofree 32-bit version
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCJavaq
Server operating systemsLinux
OS X
Windows
All OS with a Java JDK11 or higherhostedLinuxLinux
OS X
Solaris
Windows
Data schemedepending on used data modelyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.nonoyes infosince Version 4.2yes
Secondary indexesyesyesyesyes infotable attribute 'grouped'
SQL infoSupport of SQLyesSQL-like query languagenoyesSQL-like query language (q)
APIs and other access methodsCypher Query Language
JDBC
JDBCAndroid
iOS
JavaScript API
RESTful HTTP API
JDBC
ODBC
HTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket
Supported programming languagesC
Java
JavaScript
Python
Go
Java
Python
Java
JavaScript
Objective-C
C
Java
Perl
Python
R
C
C#
C++
Go
J
Java
JavaScript
Lua
MatLab
Perl
PHP
Python
R
Scala
Server-side scripts infoStored proceduresyeslimited functionality with using 'rules'yesuser defined functions
TriggersnoCallbacks are triggered when data changesyesyes infowith views
Partitioning methods infoMethods for storing different data on different nodesno, but can be realized using table inheritancehorizontal partitioningShardinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationSource-replica replicationSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno infosimilar paradigm used for internal processing
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyesACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.nonoyes
User concepts infoAccess controlfine grained access rights according to SQL-standardyes, based on authentication and database rulesfine grained access rights according to SQL-standardrights management via user accounts
More information provided by the system vendor
AgensGraphApache PinotFirebase Realtime DatabaseGreenplumKdb
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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More resources
AgensGraphApache PinotFirebase Realtime DatabaseGreenplumKdb
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