DBMS > atoti vs. Manticore Search vs. OushuDB vs. Sequoiadb

System Properties Comparison atoti vs. Manticore Search vs. OushuDB vs. Sequoiadb

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Editorial information provided by DB-Engines

Name

Description

An in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.

Multi-storage database for search, including full-text search.

A data warehouse powered by Apache HAWQ supporting descriptive analysis and advanced machine learning

NewSQL database with distributed OLTP and SQL

Primary database model

Object oriented DBMS

Search engine

Relational DBMS

Document store
Relational DBMS

Secondary database models

Time Series DBMS

using the Manticore Columnar Library

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

Score	0.61
Rank	#243	Overall
	#10	Object oriented DBMS

Score	0.29
Rank	#302	Overall
	#21	Search engines

Score	0.10
Rank	#355	Overall
	#154	Relational DBMS

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

Website

atoti.io

manticoresearch.com

www.oushu.com/product/oushuDB

www.sequoiadb.com

Technical documentation

docs.atoti.io

manual.manticoresearch.com

www.oushu.com/documentation

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

Developer

ActiveViam

Manticore Software

Oushu

Sequoiadb Ltd.

Initial release

2017

2013

Current release

6.0, February 2023

4.0.1, August 2020

License

Commercial or Open Source

commercial

free versions available

Open Source

GPL version 2

commercial

Open Source

Server: AGPL; Client: Apache V2

Cloud-based only

Only available as a cloud service

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

FreeBSD
Linux
macOS
Windows

Linux

Data scheme

Fixed schema

yes

schema-free

Typing

predefined data types such as float or date

Int, Bigint, Float, Timestamp, Bit, Int array, Bigint array, JSON, Boolean

yes

oid, date, timestamp, binary, regex

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.

Can index from XML

Secondary indexes

yes

full-text index on all search fields

yes

SQL

Support of SQL

Multidimensional Expressions (MDX)

SQL-like query language

Full-featured ANSI SQL support

SQL-like query language

APIs and other access methods

Binary API
RESTful HTTP/JSON API
RESTful HTTP/SQL API
SQL over MySQL

JDBC
ODBC

proprietary protocol using JSON

Supported programming languages

Elixir
Go
Java
JavaScript (Node.js)
Perl
PHP
Python

C
C++

.Net
C++
Java
PHP
Python

Server-side scripts

Stored procedures

Python

user defined functions

yes

JavaScript

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

Sharding, horizontal partitioning

Sharding

Partitioning is done manually, search queries against distributed index is supported

yes

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

Synchronous replication based on Galera library

Source-replica replication

MapReduce

Offers an API for user-defined Map/Reduce methods

Hadoop integration

Consistency concepts

Methods to ensure consistency in a distributed system

Eventual Consistency

Foreign keys

Referential integrity

Transaction concepts

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

yes

isolated transactions for atomic changes and binary logging for safe writes

ACID

Document is locked during a transaction

Concurrency

Support for concurrent manipulation of data

yes, multi-version concurrency control (MVCC)

yes

Durability

Support for making data persistent

yes

The original contents of fields are not stored in the Manticore index.

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

Kerberos, SSL and role based access

simple password-based access control

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