DBMS > HBase vs. SQL.JS vs. TimesTen vs. YTsaurus

System Properties Comparison HBase vs. SQL.JS vs. TimesTen vs. YTsaurus

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Editorial information provided by DB-Engines

Name

Description

Wide-column store based on Apache Hadoop and on concepts of BigTable

Port of SQLite to JavaScript

In-Memory RDBMS compatible to Oracle

YTsaurus is an open source platform for distributed storage and processing.

Primary database model

Wide column store

Relational DBMS

Document store
Key-value store

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

Score	27.97
Rank	#26	Overall
	#2	Wide column stores

Score	0.63
Rank	#241	Overall
	#112	Relational DBMS

Score	1.36
Rank	#161	Overall
	#75	Relational DBMS

Score	0.21
Rank	#324	Overall
	#45	Document stores
	#48	Key-value stores

Website

hbase.apache.org

sql.js.org

www.oracle.com/database/technologies/related/timesten.html

ytsaurus.tech

Technical documentation

hbase.apache.org/book.html

sql.js.org/documentation/index.html

docs.oracle.com/database/timesten-18.1

ytsaurus.tech/docs/en

Developer

Apache Software Foundation

Apache top-level project, originally developed by Powerset

Alon Zakai

enhancements implemented by others

Oracle, TimesTen Performance Software, HP

originally founded in HP Labs it was acquired by Oracle in 2005

Yandex

Initial release

2008

2012

1998

2023

Current release

2.3.4, January 2021

11 Release 2 (11.2.2.8.0)

License

Commercial or Open Source

Open Source

Apache version 2

Open Source

commercial

Open Source

Apache License, Version 2.0

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

JavaScript

C++

Server operating systems

Linux
Unix
Windows

using Cygwin

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

AIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows

Ubuntu

Data scheme

schema-free, schema definition possible

yes

Typing

predefined data types such as float or date

options to bring your own types, AVRO

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

SQL-92 is not fully supported

yes

YQL, an SQL-based language, is supported

APIs and other access methods

Java API
RESTful HTTP API
Thrift

JavaScript API

JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)

Supported programming languages

C
C#
C++
Groovy
Java
PHP
Python
Scala

JavaScript

C
C++
Java
PL/SQL

C++
Go
Java
JavaScript
Python

Server-side scripts

Stored procedures

yes

Coprocessors in Java

PL/SQL

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

Sharding

none

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

Multi-source replication
Source-replica replication

none

Multi-source replication
Source-replica replication

yes

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

none

Immediate Consistency or Eventual Consistency depending on configuration

Foreign keys

Referential integrity

yes

Transaction concepts

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

Single row ACID (across millions of columns)

ACID

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

yes

except by serializing a db to a file

yes

by means of logfiles and checkpoints

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

Access Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC

fine grained access rights according to SQL-standard

Access Control Lists

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More resources

DB-Engines blog posts

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1 December 2014, Matthias Gelbmann

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