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DBMS > Greenplum vs. Hawkular Metrics vs. PouchDB vs. Quasardb

System Properties Comparison Greenplum vs. Hawkular Metrics vs. PouchDB vs. Quasardb

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Editorial information provided by DB-Engines
NameGreenplum  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonPouchDB  Xexclude from comparisonQuasardb  Xexclude from comparison
DescriptionAnalytic 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.JavaScript DBMS with an API inspired by CouchDBDistributed, high-performance timeseries database
Primary database modelRelational DBMSTime Series DBMSDocument storeTime Series DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score8.08
Rank#48  Overall
#31  Relational DBMS
Score0.08
Rank#366  Overall
#39  Time Series DBMS
Score2.34
Rank#112  Overall
#21  Document stores
Score0.21
Rank#322  Overall
#29  Time Series DBMS
Websitegreenplum.orgwww.hawkular.orgpouchdb.comquasar.ai
Technical documentationdocs.greenplum.orgwww.hawkular.org/­hawkular-metrics/­docs/­user-guidepouchdb.com/­guidesdoc.quasar.ai/­master
DeveloperPivotal Software Inc.Community supported by Red HatApache Software Foundationquasardb
Initial release2005201420122009
Current release7.0.0, September 20237.1.1, June 20193.14.1, January 2024
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache 2.0Open Sourcecommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licenses
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 languageJavaJavaScriptC++
Server operating systemsLinuxLinux
OS X
Windows
server-less, requires a JavaScript environment (browser, Node.js)BSD
Linux
OS X
Windows
Data schemeyesschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesnoyes infointeger and binary
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 infosince Version 4.2nonono
Secondary indexesyesnoyes infovia viewsyes infowith tags
SQL infoSupport of SQLyesnonoSQL-like query language
APIs and other access methodsJDBC
ODBC
HTTP RESTHTTP REST infoonly for PouchDB Server
JavaScript API
HTTP API
Supported programming languagesC
Java
Perl
Python
R
Go
Java
Python
Ruby
JavaScript.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Server-side scripts infoStored proceduresyesnoView functions in JavaScriptno
Triggersyesyes infovia Hawkular Alertingyesno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infobased on CassandraSharding infowith a proxy-based framework, named couchdb-loungeSharding infoconsistent hashing
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationselectable replication factor infobased on CassandraMulti-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
Source-replica replication with selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnoyeswith Hadoop integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Eventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnonono
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 persistentyesyesyes infoby using IndexedDB, WebSQL or LevelDB as backendyes infoby using LevelDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesyes infoTransient mode
User concepts infoAccess controlfine grained access rights according to SQL-standardnonoCryptographically strong user authentication and audit trail

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More resources
GreenplumHawkular MetricsPouchDBQuasardb
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