DBMS > BaseX vs. Couchbase vs. SvectorDB

System Properties Comparison BaseX vs. Couchbase vs. SvectorDB

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines

Name

Description

Light-weight Native XML DBMS with support for XQuery 3.0 and interactive GUI.

A distributed document store with integrated cache, a powerful search engine, in-built operational and analytical capabilities, and an embedded mobile database

Serverless cloud-native vector database

Primary database model

Native XML DBMS

Document store
Vector DBMS

Vector DBMS

Secondary database models

Key-value store

originating from the former Membase product and supporting the Memcached protocol
Spatial DBMS

using the Geocouch extension
Search engine
Time Series DBMS
Vector DBMS
Wide column store

DB-Engines Ranking measures the popularity of database management systems
Trend Chart

Score	1.43
Rank	#147	Overall
	#4	Native XML DBMS

Score	13.82
Rank	#38	Overall
	#5	Document stores
	#3	Vector DBMS

Score	0.00
Rank	#385	Overall
	#21	Vector DBMS

Website

basex.org

www.couchbase.com

svectordb.com

Technical documentation

docs.basex.org

docs.couchbase.com

www.svectordb.com/docs

Developer

BaseX GmbH

Couchbase, Inc.

SvectorDB

Initial release

2007

2011

2023

Current release

11.2, August 2024

Server: 7.6, March 2024; Mobile: 3.3, August 2024; Couchbase Capella (DBaaS), September 2024

License

Commercial or Open Source

Open Source

BSD license

Open Source

Business Source License (BSL 1.1); Commercial licenses also available

commercial

Cloud-based only

Only available as a cloud service

yes

DBaaS offerings (sponsored links)

Database as a Service

Providers of DBaaS offerings, please contact us to be listed.

Implementation language

Java

C, C++, Go and Erlang

Server operating systems

Linux
OS X
Windows

server-less

Data scheme

schema-free

Typing

predefined data types such as float or date

XQuery supports types

yes

string, double, vector

XML support

Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.

Secondary indexes

yes

SQL

Support of SQL

SQL++, extends ANSI SQL to JSON for operational, transactional, and analytic use cases

APIs and other access methods

Java API
RESTful HTTP API
RESTXQ
WebDAV
XML:DB
XQJ

CLI Client
HTTP REST
Kafka Connector
Native language bindings for CRUD, Query, Search and Analytics APIs
Spark Connector
Spring Data

OpenAPI 3.0, RESTful HTTP API, Python SDK, JavaScript / TypeScript SDK

Supported programming languages

Actionscript
C
C#
Haskell
Java
JavaScript

Node.js
Lisp
Perl
PHP
Python
Qt
Rebol
Ruby
Scala
Visual Basic

.Net
C
Go
Java
JavaScript

Node.js
Kotlin
PHP
Python
Ruby
Scala

Server-side scripts

Stored procedures

yes

Functions and timers in JavaScript and UDFs in Java, Python, SQL++

Triggers

yes

via events

yes

via the TAP protocol

Partitioning methods

Methods for storing different data on different nodes

none

Automatic Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

none

Multi-source replication

including cross data center replication
Source-replica replication

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

Consistency concepts

Methods to ensure consistency in a distributed system

Eventual Consistency
Immediate Consistency

selectable on a per-operation basis

Immediate Consistency

Foreign keys

Referential integrity

Transaction concepts

Support to ensure data integrity after non-atomic manipulations of data

multiple readers, single writer

ACID

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

yes

In-memory capabilities

Is there an option to define some or all structures to be held in-memory only.

yes

Ephemeral buckets

User concepts

Access control

Users with fine-grained authorization concept on 4 levels

User and Administrator separation with password-based and LDAP integrated Authentication. Role-base access control.

More information provided by the system vendor

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources

DB-Engines blog posts

Couchbase climbs up the DB-Engines Ranking, increasing its popularity by 10% every month
2 June 2014, Matthias Gelbmann

show all

Recent citations in the news

Fig. 7. XQuery with FLWOR expression
23 October 2024, ResearchGate

9 Skills You Need to Become a Data Engineer
2 November 2022, KDnuggets

Figure 2: Screenshot of BaseX user interface
14 April 2018, ResearchGate

Figure 2.7: Class diagram: extended architecture for database construction
27 July 2018, ResearchGate

Figure 1: (a) A row in a table of an SQL database (b) NoSQL document in...
16 November 2023, ResearchGate

provided by Google News

Irenic snaps up a stake in Couchbase. Here are two tracks the firm can take to create value
17 May 2025, CNBC

Activist Investor Irenic Capital Builds Stake in Software Maker Couchbase
30 April 2025, Bloomberg

Couchbase Sets Q1 Earnings Date: AI-Focused Data Platform Provider to Report June 3
14 May 2025, Stock Titan

Couchbase Announces Date of First Quarter Fiscal 2026 Financial Results Conference Call
14 May 2025, WV News

Couchbase Unveils Edge Server to Help Organizations Solve Real-World Edge Application Challenges
4 March 2025, PR Newswire

provided by Google News

Share this page