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DBMS > Couchbase vs. Hawkular Metrics vs. Newts vs. PostgreSQL

System Properties Comparison Couchbase vs. Hawkular Metrics vs. Newts vs. PostgreSQL

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Editorial information provided by DB-Engines
NameCouchbase infoOriginally called Membase  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonNewts  Xexclude from comparisonPostgreSQL  Xexclude from comparison
DescriptionA distributed document store with integrated cache, a powerful search engine, in-built operational and analytical capabilities, and an embedded mobile databaseHawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.Time Series DBMS based on CassandraWidely used open source RDBMS infoDeveloped as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQL
Primary database modelDocument storeTime Series DBMSTime Series DBMSRelational DBMS infowith object oriented extensions, e.g.: user defined types/functions and inheritance. Handling of key/value pairs with hstore module.
Secondary database modelsKey-value store infooriginating from the former Membase product and supporting the Memcached protocol
Spatial DBMS infousing the Geocouch extension
Search engine
Time Series DBMS
Vector DBMS
Document store
Graph DBMS infowith Apache Age
Spatial DBMS
Vector DBMS infowith pgvector extension
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score16.74
Rank#33  Overall
#5  Document stores
Score0.01
Rank#377  Overall
#39  Time Series DBMS
Score0.00
Rank#385  Overall
#40  Time Series DBMS
Score644.36
Rank#4  Overall
#4  Relational DBMS
Websitewww.couchbase.comwww.hawkular.orgopennms.github.io/­newtswww.postgresql.org
Technical documentationdocs.couchbase.comwww.hawkular.org/­hawkular-metrics/­docs/­user-guidegithub.com/­OpenNMS/­newts/­wikiwww.postgresql.org/­docs
DeveloperCouchbase, Inc.Community supported by Red HatOpenNMS GroupPostgreSQL Global Development Group infowww.postgresql.org/­developer
Initial release2011201420141989 info1989: Postgres, 1996: PostgreSQL
Current releaseServer: 7.2, June 2023; Mobile: 3.1, March 2022; Couchbase Capella (DBaaS), June 202316.4, August 2024
License infoCommercial or Open SourceOpen Source infoBusiness Source License (BSL 1.1); Commercial licenses also availableOpen Source infoApache 2.0Open Source infoApache 2.0Open Source infoBSD
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.
PostgreSQL Flex @ STACKIT offers managed PostgreSQL Instances with adjustable CPU, RAM, storage amount and speed and several extensions available, in enterprise grade to perfectly match all application requirements. All 100% GDPR-compliant.
Implementation languageC, C++, Go and ErlangJavaJavaC
Server operating systemsLinux
OS X
Windows
Linux
OS X
Windows
Linux
OS X
Windows
FreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows
Data schemeschema-freeschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesyes
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 infospecific XML-type available, but no XML query functionality.
Secondary indexesyesnonoyes
SQL infoSupport of SQLSQL++, extends ANSI SQL to JSON for operational, transactional, and analytic use casesnonoyes infostandard with numerous extensions
APIs and other access methodsCLI Client
HTTP REST
Kafka Connector
Native language bindings for CRUD, Query, Search and Analytics APIs
Spark Connector
Spring Data
HTTP RESTHTTP REST
Java API
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languages.Net
C
Go
Java
JavaScript infoNode.js
Kotlin
PHP
Python
Ruby
Scala
Go
Java
Python
Ruby
Java.Net
C
C++
Delphi
Java infoJDBC
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Server-side scripts infoStored proceduresFunctions and timers in JavaScript and UDFs in Java, Python, SQL++nonouser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.
Triggersyes infovia the TAP protocolyes infovia Hawkular Alertingnoyes
Partitioning methods infoMethods for storing different data on different nodesAutomatic ShardingSharding infobased on CassandraSharding infobased on Cassandrapartitioning by range, list and (since PostgreSQL 11) by hash
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication infoincluding cross data center replication
Source-replica replication
selectable replication factor infobased on Cassandraselectable replication factor infobased on CassandraSource-replica replication infoother methods possible by using 3rd party extensions
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infoselectable on a per-operation basis
Eventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Eventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoACID
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.yes infoEphemeral bucketsnonono
User concepts infoAccess controlUser and Administrator separation with password-based and LDAP integrated Authentication. Role-base access control.nonofine grained access rights according to SQL-standard

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More resources
Couchbase infoOriginally called MembaseHawkular MetricsNewtsPostgreSQL
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