DBMS > Drizzle vs. Splice Machine vs. SQL.JS

System Properties Comparison Drizzle vs. Splice Machine vs. SQL.JS

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Editorial information provided by DB-Engines

Name

Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.

Description

MySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.

Open-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark

Port of SQLite to JavaScript

Primary database model

Relational DBMS

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

Score	0.88
Rank	#181	Overall
	#92	Relational DBMS

Score	0.81
Rank	#185	Overall
	#94	Relational DBMS

Website

splicemachine.com

sql.js.org

Technical documentation

doc.splicemachine.com

sql.js.org/documentation/index.html

Developer

Drizzle project, originally started by Brian Aker

Splice Machine

Alon Zakai

enhancements implemented by others

Initial release

2008

2014

2012

Current release

7.2.4, September 2012

2.0

License

Commercial or Open Source

Open Source

GNU GPL

Open Source

AGPL 3.0, commercial license available

Open Source

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

C++

Java

JavaScript

Server operating systems

FreeBSD
Linux
OS X

Linux
OS X
Solaris
Windows

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

Data scheme

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.

Secondary indexes

yes

SQL

Support of SQL

yes

with proprietary extensions

yes

SQL-92 is not fully supported

APIs and other access methods

JDBC

JDBC
Native Spark Datasource
ODBC

JavaScript API

Supported programming languages

C
C++
Java
PHP

C#
C++
Java
JavaScript (Node.js)
Python
R
Scala

JavaScript

Server-side scripts

Stored procedures

yes

Java

Triggers

hooks for callbacks inside the server can be used.

yes

Partitioning methods

Methods for storing different data on different nodes

Sharding

Shared Nothhing Auto-Sharding, Columnar Partitioning

none

Replication methods

Methods for redundantly storing data on multiple nodes

Multi-source replication
Source-replica replication

none

MapReduce

Offers an API for user-defined Map/Reduce methods

Yes, via Full Spark Integration

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

none

Foreign keys

Referential integrity

yes

Transaction concepts

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

ACID

Concurrency

Support for concurrent manipulation of data

yes

yes, multi-version concurrency control (MVCC)

Durability

Support for making data persistent

yes

except by serializing a db to a file

In-memory capabilities

Is there an option to define some or all structures to be held in-memory only.

yes

User concepts

Access control

Pluggable authentication mechanisms

e.g. LDAP, HTTP

Access rights for users, groups and roles according to SQL-standard

More information provided by the system vendor

Specific characteristics

THE ONLY SCALE-OUT SQL RDBMS WITH BUILT-IN MACHINE LEARNING For data-rich, real-time...
» more

Competitive advantages

Operational Workloads: Full ACID support with high performance at scale Multi-row...
» more

Typical application scenarios

New AI/ML and IoT Applications Data Warehouse Offloads Application Modernization...
» more

Licensing and pricing models

Kubernetes Community Edition: https://hub.helm.sh/charts/splicemachine/splice-helm...
» more

News

Three Ways to Talk Machine Learning with Splice Machine in January
6 January 2021

How To Get Real-Time Analytics By Consolidating Databases
21 May 2020

How to Cut Costs and Digitally Transform
1 May 2020

How To Migrate A Legacy SQL Application To The Cloud With AI
10 March 2020

Building Production-Ready Machine Learning Models
4 March 2020

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

Related products and services

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More resources

DB-Engines blog posts

MySQL won the April ranking; did its forks follow?
1 April 2015, Paul Andlinger

Has MySQL finally lost its mojo?
1 July 2013, Matthias Gelbmann

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New kids on the block: database management systems implemented in JavaScript
1 December 2014, Matthias Gelbmann

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Recent citations in the news

How Splice Machine's Data Platform for Intelligent Apps Works
29 September 2020, eWeek

Big Data Analytics in Banking Market Outlook 2021, Global Industry Overview by Manufacturers – Splice Machine, HP, VMware, Alteryx, Hitachi Data Systems, Google, Splunk Enterprise, IBM, Teradata, Tableau, Alation, Amazon AWS, SAP SE, New Relic, Microsoft, Oracle
15 January 2021, NeighborWebSJ

Splice Machine Announces Livewire, the Operational AI Platform Designed for Industrial Use Cases
4 November 2020, PRNewswire

Splice Machine Announces 3.0 Version of its Intelligent, Distributed SQL Data Platform, Available in Q1 2020
15 January 2020, PRNewswire

Splice Machine Leans on Kubernetes to Manage DBs
3 August 2020, Container Journal

provided by Google News

Meet AlaSQL, a speedy SQL database for JavaScript
15 January 2019, JAXenter

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27 December 2018, DevOps.com

LokiJS - A JavaScript Database
18 November 2014, iProgrammer

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17 October 2019, Gamasutra

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