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DBMS > Hypertable vs. NSDb vs. OrigoDB vs. SQL.JS

System Properties Comparison Hypertable vs. NSDb vs. OrigoDB vs. SQL.JS

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Editorial information provided by DB-Engines

Name

Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.

Description

An open source BigTable implementation based on distributed file systems such as Hadoop

Scalable, High-performance Time Series DBMS designed for Real-time Analytics on top of Kubernetes

A fully ACID in-memory object graph database

Port of SQLite to JavaScript

Primary database model

Wide column store

Time Series DBMS

Document store
Object oriented DBMS

Relational DBMS

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

Score	0.08
Rank	#369	Overall
	#40	Time Series DBMS

Score	0.06
Rank	#380	Overall
	#50	Document stores
	#19	Object oriented DBMS

Score	0.63
Rank	#241	Overall
	#112	Relational DBMS

Website

Technical documentation

nsdb.io/Architecture

origodb.com/docs

sql.js.org/documentation/index.html

Developer

Hypertable Inc.

Robert Friberg et al

Alon Zakai

enhancements implemented by others

Initial release

2009

2017

2009

under the name LiveDB

2012

Current release

0.9.8.11, March 2016

License

Commercial or Open Source

Open Source

GNU version 3. Commercial license available

Open Source

Apache Version 2.0

Open Source

Open Source

Cloud-based only

Only available as a cloud service

no

no

no

no

DBaaS offerings (sponsored links)

Database as a Service

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

Implementation language

C++

Java, Scala

C#

JavaScript

Server operating systems

Linux
OS X
Windows

an inofficial Windows port is available

Linux
macOS

Linux
Windows

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

Data scheme

schema-free

yes

yes

Typing

predefined data types such as float or date

no

yes: int, bigint, decimal, string

User defined using .NET types and collections

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.

no

no

can be achieved using .NET

no

Secondary indexes

restricted

only exact value or prefix value scans

all fields are automatically indexed

yes

SQL

Support of SQL

no

SQL-like query language

no

yes

SQL-92 is not fully supported

APIs and other access methods

C++ API
Thrift

gRPC
HTTP REST
WebSocket

.NET Client API
HTTP API
LINQ

JavaScript API

Supported programming languages

C++
Java
Perl
PHP
Python
Ruby

Java
Scala

.Net

JavaScript

Server-side scripts

Stored procedures

no

no

yes

no

Triggers

no

yes

Domain Events

no

Partitioning methods

Methods for storing different data on different nodes

Sharding

Sharding

horizontal partitioning

client side managed; servers are not synchronized

none

Replication methods

Methods for redundantly storing data on multiple nodes

selectable replication factor on file system level

Source-replica replication

none

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

no

no

no

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Eventual Consistency

none

Foreign keys

Referential integrity

no

no

depending on model

yes

Transaction concepts

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

no

no

ACID

ACID

Concurrency

Support for concurrent manipulation of data

yes

yes

yes

Durability

Support for making data persistent

yes

Using Apache Lucene

yes

Write ahead log

no

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

yes

User concepts

Access control

no

Role based authorization

no

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More resources

DB-Engines blog posts

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