DBMS > Couchbase vs. Databricks vs. SvectorDB

System Properties Comparison Couchbase vs. Databricks vs. SvectorDB

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Editorial information provided by DB-Engines

Name

Description

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

The Databricks Lakehouse Platform combines elements of data lakes and data warehouses to provide a unified view onto structured and unstructured data. It is based on Apache Spark.

Serverless cloud-native vector database

Primary database model

Document store
Vector DBMS

Document store
Relational 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	14.04
Rank	#38	Overall
	#5	Document stores
	#3	Vector DBMS

Score	99.29
Rank	#12	Overall
	#2	Document stores
	#8	Relational DBMS

Score	0.00
Rank	#382	Overall
	#21	Vector DBMS

Website

www.couchbase.com

www.databricks.com

svectordb.com

Technical documentation

docs.couchbase.com

docs.databricks.com

www.svectordb.com/docs

Developer

Couchbase, Inc.

Databricks

SvectorDB

Initial release

2011

2013

2023

Current release

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

License

Commercial or Open Source

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

C, C++, Go and Erlang

Server operating systems

Linux
OS X
Windows

hosted

server-less

Data scheme

schema-free

Flexible Schema (defined schema, partial schema, schema free)

Typing

predefined data types such as float or date

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.

yes

Secondary indexes

yes

SQL

Support of SQL

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

with Databricks SQL

APIs and other access methods

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

JDBC
ODBC
RESTful HTTP API

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

Supported programming languages

.Net
C
Go
Java
JavaScript

Node.js
Kotlin
PHP
Python
Ruby
Scala

Python
R
Scala

Server-side scripts

Stored procedures

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

user defined functions and aggregates

Triggers

yes

via the TAP protocol

Partitioning methods

Methods for storing different data on different nodes

Automatic Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

Multi-source replication

including cross data center replication
Source-replica replication

yes

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

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

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

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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

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PostgreSQL is the DBMS of the Year 2023
2 January 2024, Matthias Gelbmann, Paul Andlinger

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Recent citations in the news

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

Couchbase price target lowered to $16 from $22 at Piper Sandler
23 April 2025, TipRanks

Oppenheimer Adjusts Couchbase Price Target to $20 From $23, Maintains Outperform Rating
22 April 2025, marketscreener.com

Piper Sandler Adjusts Couchbase (BASE) Target Price Amid Industr
23 April 2025, GuruFocus

Deep Dive Into Couchbase Stock: Analyst Perspectives (10 Ratings)
9 April 2025, Benzinga

provided by Google News

Databricks to boost hiring, invest $250 million in India for AI expansion
24 April 2025, Reuters

Databricks Just Dropped $250M in India--Here's Why It Could Redefine the Global AI Race
24 April 2025, Yahoo Finance

Databricks to Hire Hundreds in India to Accelerate AI Boom
24 April 2025, Bloomberg.com

Databricks to Invest $250 Million in India to Boost AI Talent and R&D
24 April 2025, outlookbusiness.com

The Future of AI: Domain-Specific Agents
23 April 2025, TechCrunch

provided by Google News

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