DBMS > Couchbase vs. KairosDB vs. Vertica

System Properties Comparison Couchbase vs. KairosDB vs. Vertica

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines

Name

Description

JSON-based document store derived from CouchDB with a Memcached-compatible interface

Distributed Time Series DBMS based on Cassandra or H2

Columnar relational DBMS designed to handle modern analytic workloads, enabling fast query performance

Primary database model

Document store

Time Series DBMS

Relational DBMS

Secondary database models

Key-value store info

originating from the former Membase product and supporting the Memcached protocol

Document store

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

Score	31.49
Rank	#23	Overall
	#3	Document stores

Score	0.56
Rank	#201	Overall
	#11	Time Series DBMS

Score	22.17
Rank	#30	Overall
	#18	Relational DBMS

Website

www.couchbase.com

github.com/kairosdb/kairosdb

www.vertica.com

Technical documentation

docs.couchbase.com

kairosdb.github.io

www.vertica.com/documentation/vertica

Developer

Couchbase, Inc.

Vertica / Micro Focus info

prior to that Hewlett Packard

Initial release

2011

2013

2005

Current release

Server: 6.0, October 2018; Mobile: 2.5, May 2019; Couchbase Autonomous Operator: 1.2, May 2019

1.2.2, November 2018

Vertica Analytics Platform 9.2.x, March 2019

License

Commercial or Open Source

Open Source info

Apache version 2; Commercial licenses also available

Open Source info

Apache 2.0

commercial info

Limited community edition free

Cloud-based only info

Only available as a cloud service

available on Amazon AWS and Microsoft Azure

DBaaS offerings (sponsored links) info

Database as a Service

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

Implementation language

C, C++, Go and Erlang

Java

Server operating systems

Linux
OS X
Windows

Linux

Data scheme

schema-free

yes

Unstructured data can be stored in specific Flex-Tables

Typing

predefined data types such as float or date

yes

String, Boolean, Number

yes

XML support info

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

The concept of 'projections' can be used instead of indexes.

SQL

Support of SQL

Declarative query language (N1QL) that extends ANSI SQL to JSON. First commercial implementation of SQL++.

yes

nearly full SQL99 without support for indexes and triggers

APIs and other access methods

Native language bindings for CRUD, Query, Search and Analytics APIs

Graphite protocol
HTTP REST
Telnet API

ADO.NET
JDBC
Kafka
ODBC
Proprietary protocol
RESTful HTTP API

Supported programming languages

.Net
C
Clojure
ColdFusion
Erlang
Go
Java
JavaScript info

Node.js
Perl
PHP
Python
Ruby
Scala
Tcl

Java
JavaScript info

Node.js
PHP
Python

C++
Java
Perl
Python
R

Server-side scripts info

Stored procedures

Functions and timers in JavaScript

yes

Triggers

yes

via the TAP protocol

Partitioning methods info

Methods for storing different data on different nodes

Sharding

based on Cassandra

Sharding

Segmentation, Projection Segmentation, Hash Segmentation

Replication methods info

Methods for redundantly storing data on multiple nodes

Master-master replication info

including cross data center replication
Master-slave replication

selectable replication factor info

based on Cassandra

Master-master replication info

Cluster level and Object level replication

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

with Vertica Connector for Hadoop

Consistency concepts info

Methods to ensure consistency in a distributed system

Eventual Consistency
Immediate Consistency info

selectable on a per-operation basis

Eventual Consistency info

based on Cassandra
Immediate Consistency info

based on Cassandra

Immediate Consistency

Foreign keys info

Referential integrity

yes

Transaction concepts info

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

Single-document ACID transactions

ACID

Concurrency info

Support for concurrent manipulation of data

yes

Durability info

Support for making data persistent

yes

In-memory capabilities info

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

yes

Ephemeral buckets

User concepts info

Access control

User and Administrator separation with password-based and LDAP integrated Authentication

simple password-based access control

fine grained access rights according to SQL-standard; supports Kerberos, LDAP, Ident and hash

More information provided by the system vendor

Specific characteristics

Developed as an alternative to traditionally inflexible relational databases, Couchbase...
» more

Columnar storage, MPP, Hybrid storage model, Aggressive data compression, High availability,...
» more

Competitive advantages

Couchbase was architected with several differentiated capabilities: Shared-nothing,...
» more

Performance at exabyte scale, Deploy anywhere, Open source innovation, Analysis in...
» more

Typical application scenarios

Customer 360 for user profile, session store and data aggregation (Comcast, Equifax,...
» more

Communication and network analytics, Embedded analytics, Fraud monitoring and Risk...
» more

Key customers

Amadeus, AT&T, BD (Becton, Dickinson and Company), Carrefour, Cisco, Comcast, Disney,...
» more

Abiba Systems, Adform, adMarketplace, AmeriPride, Anritsu, AOL, Avito, Auckland Transport,...
» more

Market metrics

Named a leader in the Forrester Wave™: Big Data NoSQL, Q1 2019 Over 10M downloads...
» more

Licensing and pricing models

The Community Edition (CE) of Couchbase Server and Couchbase Mobile are available...
» more

Cost-based models and subscription-based models are available
» more

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.