DBMS > Manticore Search vs. OpenMLDB vs. SwayDB

System Properties Comparison Manticore Search vs. OpenMLDB vs. SwayDB

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Editorial information provided by DB-Engines

Name

Description

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

An open-source machine learning database that provides a feature platform for training and inference

An embeddable, non-blocking, type-safe key-value store for single or multiple disks and in-memory storage

Primary database model

Search engine

Time Series DBMS

Key-value store

Secondary database models

Time Series DBMS

using the Manticore Columnar Library

Relational DBMS

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

Score	0.22
Rank	#312	Overall
	#21	Search engines

Score	0.02
Rank	#367	Overall
	#37	Time Series DBMS

Score	0.00
Rank	#382	Overall
	#59	Key-value stores

Website

manticoresearch.com

openmldb.ai

swaydb.simer.au

Technical documentation

manual.manticoresearch.com

openmldb.ai/docs/zh/main

Developer

Manticore Software

4 Paradigm Inc.

Simer Plaha

Initial release

2017

2020

2018

Current release

6.0, February 2023

2024-2 February 2024

License

Commercial or Open Source

Open Source

GPL version 2

Open Source

GNU Affero GPL V3.0

Cloud-based only

Only available as a cloud service

DBaaS offerings (sponsored links)

Database as a Service

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Implementation language

C++

C++, Java, Scala

Scala

Server operating systems

FreeBSD
Linux
macOS
Windows

Linux

Data scheme

Fixed schema

schema-free

Typing

predefined data types such as float or date

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

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.

Can index from XML

Secondary indexes

yes

full-text index on all search fields

yes

SQL

Support of SQL

SQL-like query language

yes

APIs and other access methods

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

JDBC
SQLAlchemy

Supported programming languages

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

C++
Go
Java
Python
Scala

Java
Kotlin
Scala

Server-side scripts

Stored procedures

user defined functions

Triggers

Partitioning methods

Methods for storing different data on different nodes

Sharding

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

horizontal partitioning

none

Replication methods

Methods for redundantly storing data on multiple nodes

Synchronous replication based on Galera library

Source-replica replication

none

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate 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

Atomic execution of operations

Concurrency

Support for concurrent manipulation of data

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

fine grained access rights according to SQL-standard

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