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DBMS > Couchbase vs. Faircom DB vs. PostgreSQL vs. RavenDB vs. SAP Adaptive Server

System Properties Comparison Couchbase vs. Faircom DB vs. PostgreSQL vs. RavenDB vs. SAP Adaptive Server

Editorial information provided by DB-Engines
NameCouchbase infoOriginally called Membase  Xexclude from comparisonFaircom DB infoformerly c-treeACE  Xexclude from comparisonPostgreSQL  Xexclude from comparisonRavenDB  Xexclude from comparisonSAP Adaptive Server infoformer name: Sybase ASE  Xexclude from comparison
DescriptionA distributed document store with integrated cache, a powerful search engine, in-built operational and analytical capabilities, and an embedded mobile databaseNative high-speed multi-model DBMS for relational and key-value store data simultaneously accessible through SQL and NoSQL APIs.Widely used open source RDBMS infoDeveloped as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQLOpen Source Operational and Transactional Enterprise NoSQL Document DatabaseThe SAP (Sybase) Adaptive Server Enterprise (ASE) is an enterprise-class RDBMS
Primary database modelDocument storeKey-value store
Relational DBMS
Relational DBMS infowith object oriented extensions, e.g.: user defined types/functions and inheritance. Handling of key/value pairs with hstore module.Document storeRelational DBMS
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
Graph DBMS
Spatial DBMS
Time Series DBMS
Spatial DBMS infowith Boeing's Spatial Query Server
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score16.59
Rank#36  Overall
#5  Document stores
Score0.29
Rank#304  Overall
#43  Key-value stores
#136  Relational DBMS
Score636.25
Rank#4  Overall
#4  Relational DBMS
Score2.84
Rank#101  Overall
#18  Document stores
Score35.09
Rank#25  Overall
#17  Relational DBMS
Websitewww.couchbase.comwww.faircom.com/­products/­faircom-dbwww.postgresql.orgravendb.netwww.sap.com/­products/­technology-platform/­sybase-ase.html
Technical documentationdocs.couchbase.comdocs.faircom.com/­docs/­en/­UUID-7446ae34-a1a7-c843-c894-d5322e395184.htmlwww.postgresql.org/­docsravendb.net/­docshelp.sap.com/­docs/­SAP_ASE
DeveloperCouchbase, Inc.FairCom CorporationPostgreSQL Global Development Group infowww.postgresql.org/­developerHibernating RhinosSAP, Sybase
Initial release201119791989 info1989: Postgres, 1996: PostgreSQL20101987
Current releaseServer: 7.2, June 2023; Mobile: 3.1, March 2022; Couchbase Capella (DBaaS), June 2023V12, November 202016.3, May 20245.4, July 202216.0
License infoCommercial or Open SourceOpen Source infoBusiness Source License (BSL 1.1); Commercial licenses also availablecommercial infoRestricted, free version availableOpen Source infoBSDOpen Source infoAGPL version 3, commercial license availablecommercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++, Go and ErlangANSI C, C++CC#C and C++
Server operating systemsLinux
OS X
Windows
AIX
FreeBSD
HP-UX
Linux
NetBSD
OS X
QNX
SCO
Solaris
VxWorks
Windows infoeasily portable to other OSs
FreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows
Linux
macOS
Raspberry Pi
Windows
AIX
HP-UX
Linux
Solaris
Unix
Windows
Data schemeschema-freeschema free, schema optional, schema required, partial schema,yesschema-freeyes
Typing infopredefined data types such as float or dateyesyes, ANSI SQL Types, JSON, typed binary structuresyesnoyes
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 infospecific XML-type available, but no XML query functionality.no
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLSQL++, extends ANSI SQL to JSON for operational, transactional, and analytic use casesyes, ANSI SQL with proprietary extensionsyes infostandard with numerous extensionsSQL-like query language (RQL)yes
APIs and other access methodsCLI Client
HTTP REST
Kafka Connector
Native language bindings for CRUD, Query, Search and Analytics APIs
Spark Connector
Spring Data
ADO.NET
Direct SQL
JDBC
JPA
ODBC
RESTful HTTP/JSON API
RESTful MQTT/JSON API
RPC
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
.NET Client API
F# Client API
Go Client API
Java Client API
NodeJS Client API
PHP Client API
Python Client API
RESTful HTTP API
ADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
Supported programming languages.Net
C
Go
Java
JavaScript infoNode.js
Kotlin
PHP
Python
Ruby
Scala
.Net
C
C#
C++
Java
JavaScript (Node.js and browser)
PHP
Python
Visual Basic
.Net
C
C++
Delphi
Java infoJDBC
JavaScript (Node.js)
Perl
PHP
Python
Tcl
.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C
C++
Cobol
Java
Java
Perl
PHP
Python
Server-side scripts infoStored proceduresFunctions and timers in JavaScript and UDFs in Java, Python, SQL++yes info.Net, JavaScript, C/C++user defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.yesJava and Transact-SQL
Triggersyes infovia the TAP protocolyesyesyesyes
Partitioning methods infoMethods for storing different data on different nodesAutomatic ShardingFile partitioning, horizontal partitioning, sharding infoCustomizable business rules for table partitioningpartitioning by range, list and (since PostgreSQL 11) by hashShardinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication infoincluding cross data center replication
Source-replica replication
yes, configurable to be parallel or serial, synchronous or asynchronous, uni-directional or bi-directional, ACID-consistent or eventually consistent (with custom conflict resolution).Source-replica replication infoother methods possible by using 3rd party extensionsMulti-source replicationMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infoselectable on a per-operation basis
Eventual Consistency
Immediate Consistency
Tunable consistency per server, database, table, and transaction
Immediate ConsistencyDefault ACID transactions on the local node (eventually consistent across the cluster). Atomic operations with cluster-wide ACID transactions. Eventual consistency for indexes and full-text search indexes.Immediate Consistency
Foreign keys infoReferential integritynoyesyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDtunable from ACID to Eventually ConsistentACIDACID, Cluster-wide transaction availableACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesYes, tunable from durable to delayed durability to in-memoryyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoEphemeral bucketsyesno
User concepts infoAccess controlUser and Administrator separation with password-based and LDAP integrated Authentication. Role-base access control.Fine grained access rights according to SQL-standard with additional protections for filesfine grained access rights according to SQL-standardAuthorization levels configured per client per databasefine grained access rights according to SQL-standard

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Couchbase infoOriginally called MembaseFaircom DB infoformerly c-treeACEPostgreSQLRavenDBSAP Adaptive Server infoformer name: Sybase ASE
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