DBMS > CouchDB vs. Google Cloud Spanner vs. Splunk

System Properties Comparison CouchDB vs. Google Cloud Spanner vs. Splunk

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Editorial information provided by DB-Engines

Name

Description

A native JSON - document store inspired by Lotus Notes, scalable from globally distributed server-clusters down to mobile phones.

A horizontally scalable, globally consistent, relational database service. It is the externalization of the core Google database that runs the biggest aspects of Google, like Ads and Google Play.

Analytics Platform for Big Data

Primary database model

Document store

Relational DBMS

Search engine

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

Score	15.62
Rank	#38	Overall
	#6	Document stores

Score	2.47
Rank	#110	Overall
	#54	Relational DBMS

Score	88.54
Rank	#13	Overall
	#2	Search engines

Website

couchdb.apache.org

cloud.google.com/spanner

www.splunk.com

Technical documentation

docs.couchdb.org/en/stable

cloud.google.com/spanner/docs

docs.splunk.com/Documentation/Splunk

Developer

Apache Software Foundation

Apache top-level project, originally developed by Damien Katz, a former Lotus Notes developer

Google

Splunk Inc.

Initial release

2005

2017

2003

Current release

3.1.1 , September 2020

License

Commercial or Open Source

Open Source

Apache version 2

commercial

Limited free edition and free developer edition available

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

Erlang

Server operating systems

Android
BSD
Linux
OS X
Solaris
Windows

hosted

Linux
OS X
Solaris
Windows

Data scheme

schema-free

yes

Typing

predefined data types such as float or date

yes

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

via views

yes

SQL

Support of SQL

yes

Query statements complying to ANSI 2011

Splunk Search Processing Language for search commands

APIs and other access methods

RESTful HTTP/JSON API

gRPC (using protocol buffers) API
JDBC

At present, JDBC supports read-only queries. No support for DDL or DML statements.
RESTful HTTP API

HTTP REST

Supported programming languages

C
C#
ColdFusion
Erlang
Haskell
Java
JavaScript
Lisp
Lua
Objective-C
OCaml
Perl
PHP
PL/SQL
Python
Ruby
Smalltalk

Go
Java
JavaScript (Node.js)
Python

C#
Java
JavaScript
PHP
Python
Ruby

Server-side scripts

Stored procedures

View functions in JavaScript

yes

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

Sharding

improved architecture with release 2.0

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

Multi-source replication
Source-replica replication

Multi-source replication with 3 replicas for regional instances.

Multi-source replication

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

using Google Cloud Dataflow

yes

Consistency concepts

Methods to ensure consistency in a distributed system

Eventual Consistency

Immediate Consistency

Eventual Consistency

Foreign keys

Referential integrity

yes

by using interleaved tables, this features focuses more on performance improvements than on referential integrity

Transaction concepts

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

atomic operations within a single document possible

ACID

Strict serializable isolation

A 'Transaction' in Splunk has a different meaning: grouping related events into a single one for later searching

Concurrency

Support for concurrent manipulation of data

yes

strategy: optimistic locking

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.

User concepts

Access control

Access rights for users can be defined per database

Access rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)

Access rights for users and roles

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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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Enterprise Search Engines almost double their popularity in the last 12 months
2 July 2014, Paul Andlinger

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Recent citations in the news

Apache CouchDB 3.0 NoSQL Database: A Major Milestone -- ADTmag
27 February 2020, ADT Magazine

NoSQL Software Market Demand, Booming Worldwide and Strategic Outlook to 2025 | MongoDB, OrientDB, Amazon, Azure Cosmos DB, Couchbase, ArangoDB, CouchDB, MarkLogic
11 February 2021, NeighborWebSJ

CouchDB 3.0 ends admin party era • DEVCLASS
27 February 2020, DevClass

Global Document Databases Software Market Latest Technological Advancements 2026: MongoDB, Amazon, ArangoDB, Azure Cosmos DB, Couchbase etc. – NeighborWebSJ
26 February 2021, NeighborWebSJ

IBM extends Call for Code for Racial Justice program
24 February 2021, TechTarget

provided by Google News

Google enhances Cloud Spanner and other databases
20 August 2020, TechTarget

Google Updates Cloud Spanner with New Features: Backup on Demand, Local Emulator, and More
1 May 2020, InfoQ.com

Google Releases Spanner Emulator
1 June 2020, iProgrammer

Google lays out HarbourBridge to tempt PostgreSQL users onto Cloud Spanner • DEVCLASS
13 February 2020, DevClass

Google’s Cloud Spanner database adds new features and regions
19 December 2018, TechCrunch

provided by Google News

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