DBMS > Apache Druid vs. Manticore Search vs. SQL.JS vs. Trino vs. Yanza

System Properties Comparison Apache Druid vs. Manticore Search vs. SQL.JS vs. Trino vs. Yanza

Editorial information provided by DB-Engines

Name

Yanza seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.

Description

Open-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality data

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

Port of SQLite to JavaScript

Fast distributed SQL query engine for big data analytics. Forked from Presto and originally named PrestoSQL

Time Series DBMS for IoT Applications

Primary database model

Relational DBMS
Time Series DBMS

Search engine

Relational DBMS

Time Series DBMS

Secondary database models

Time Series DBMS

using the Manticore Columnar Library

Document store
Key-value store
Spatial DBMS
Search engine
Time Series DBMS
Wide column store

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

Score	2.70
Rank	#98	Overall
	#50	Relational DBMS
	#7	Time Series DBMS

Score	0.23
Rank	#300	Overall
	#21	Search engines

Score	0.49
Rank	#247	Overall
	#115	Relational DBMS

Score	5.35
Rank	#61	Overall
	#35	Relational DBMS

Website

yanza.com

Technical documentation

druid.apache.org/docs/latest/design

manual.manticoresearch.com

sql.js.org/documentation/index.html

trino.io/broadcast
trino.io/docs/current

Developer

Apache Software Foundation and contributors

Manticore Software

Alon Zakai

enhancements implemented by others

Trino Software Foundation

Yanza

Initial release

2012

2017

2012

2020 rebranded from PrestoSQL

2015

Current release

30.0.0, June 2024

6.0, February 2023

License

Commercial or Open Source

Open Source

Apache license v2

Open Source

GPL version 2

Open Source

Apache Version 2.0

commercial

free version available

Cloud-based only

Only available as a cloud service

but mainly used as a service provided by Yanza

DBaaS offerings (sponsored links)

Database as a Service

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

Implementation language

Java

C++

JavaScript

Java

Server operating systems

Linux
OS X
Unix

FreeBSD
Linux
macOS
Windows

server-less, requires a JavaScript environment (browser, Node.js)

Linux
macOS

for devlopment

Windows

Data scheme

yes

schema-less columns are supported

Fixed schema

yes

schema-free

Typing

predefined data types such as float or date

yes

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

depending on connected data-source

SQL

Support of SQL

SQL for querying

SQL-like query language

yes

SQL-92 is not fully supported

yes

APIs and other access methods

JDBC
RESTful HTTP/JSON API

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

JavaScript API

JDBC
RESTful HTTP API
Trino CLI

HTTP API

Supported programming languages

Clojure
JavaScript
PHP
Python
R
Ruby
Scala

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

JavaScript

Go
Java
JavaScript (Node.js)
Python
R
Ruby

any language that supports HTTP calls

Server-side scripts

Stored procedures

user defined functions

yes, depending on connected data-source

Triggers

yes

Timer and event based

Partitioning methods

Methods for storing different data on different nodes

Sharding

manual/auto, time-based

Sharding

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

none

depending on connected data-source

none

Replication methods

Methods for redundantly storing data on multiple nodes

yes, via HDFS, S3 or other storage engines

Synchronous replication based on Galera library

none

depending on connected data-source

none

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

none

depending on connected data-source

Immediate Consistency

Foreign keys

Referential integrity

yes

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

depending on connected data-source

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.

except by serializing a db to a file

depending on connected data-source

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

RBAC using LDAP or Druid internals for users and groups for read/write by datasource and system

SQL standard access control

More information provided by the system vendor

News

67: Extra speed with Exasol and Trino
30 October 2024

A glimpse at the summit
17 October 2024

A Kubernetes operator for Trino?
10 October 2024

SQL basecamps before Trino Summit
7 October 2024

23 is a go, keeping pace with Java
17 September 2024

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources

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