DBMS > Atos Standard Common Repository vs. Rockset vs. Sequoiadb vs. Splunk

System Properties Comparison Atos Standard Common Repository vs. Rockset vs. Sequoiadb vs. Splunk

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Editorial information provided by DB-Engines

Name

This system has been discontinued and will be removed from the DB-Engines ranking.

Description

Highly scalable database system, designed for managing session and subscriber data in modern mobile communication networks

A scalable, reliable search and analytics service in the cloud, built on RocksDB

NewSQL database with distributed OLTP and SQL

Analytics Platform for Big Data

Primary database model

Document store
Key-value store

Document store

Document store
Relational DBMS

Search engine

Secondary database models

Relational DBMS
Search engine

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

Score	0.82
Rank	#212	Overall
	#36	Document stores

Score	0.50
Rank	#258	Overall
	#41	Document stores
	#120	Relational DBMS

Score	89.10
Rank	#14	Overall
	#2	Search engines

Website

atos.net/en/convergence-creators/portfolio/standard-common-repository

rockset.com

www.sequoiadb.com

www.splunk.com

Technical documentation

docs.rockset.com

www.sequoiadb.com/en/index.php?m=Files&a=index

docs.splunk.com/Documentation/Splunk

Developer

Atos Convergence Creators

Rockset

Sequoiadb Ltd.

Splunk Inc.

Initial release

2016

2019

2013

2003

Current release

1703

License

Commercial or Open Source

commercial

Open Source

Server: AGPL; Client: Apache V2

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

Java

C++

Server operating systems

Linux

hosted

Linux

Linux
OS X
Solaris
Windows

Data scheme

Schema and schema-less with LDAP views

schema-free

yes

Typing

predefined data types such as float or date

optional

dynamic typing

yes

oid, date, timestamp, binary, regex

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

ingestion from XML files supported

yes

Secondary indexes

yes

all fields are automatically indexed

yes

SQL

Support of SQL

Read-only SQL queries, including JOINs

SQL-like query language

Splunk Search Processing Language for search commands

APIs and other access methods

LDAP

HTTP REST

proprietary protocol using JSON

HTTP REST

Supported programming languages

All languages with LDAP bindings

Go
Java
JavaScript (Node.js)
Python

.Net
C++
Java
PHP
Python

C#
Java
JavaScript
PHP
Python
Ruby

Server-side scripts

Stored procedures

JavaScript

yes

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

Sharding

cell division

Automatic sharding

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

yes

Source-replica replication

Multi-source replication

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency or Eventual Consistency depending on configuration

Eventual Consistency

Foreign keys

Referential integrity

Transaction concepts

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

Atomic execution of specific operations

Document is locked during a transaction

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

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

User concepts

Access control

LDAP bind authentication

Access rights for users and organizations can be defined via Rockset console

simple password-based access control

Access rights for users and roles

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More resources

DB-Engines blog posts

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

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