DBMS > Alibaba Cloud TSDB vs. Hypertable vs. LokiJS vs. RRDtool

System Properties Comparison Alibaba Cloud TSDB vs. Hypertable vs. LokiJS vs. RRDtool

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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

A stable, reliable, and cost-effective online high-performance time series database service

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

In-memory JavaScript DBMS

Industry standard data logging and graphing tool for time series data. RRD is an acronym for round-robin database.

The data is stored in a circular buffer, thus the system storage footprint remains constant over time.

Primary database model

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

Score	0.29
Rank	#301	Overall
	#26	Time Series DBMS

Score	0.49
Rank	#260	Overall
	#42	Document stores

Score	1.90
Rank	#132	Overall
	#11	Time Series DBMS

Website

www.alibabacloud.com/product/hitsdb

github.com/techfort/LokiJS

oss.oetiker.ch/rrdtool

Technical documentation

www.alibabacloud.com/help/en/time-series-database/latest/what-is-tsdb

techfort.github.io/LokiJS

oss.oetiker.ch/rrdtool/doc

Developer

Alibaba

Hypertable Inc.

Tobias Oetiker

Initial release

2009

2014

1999

Current release

0.9.8.11, March 2016

1.8.0, 2022

License

Commercial or Open Source

commercial

Open Source

GNU version 3. Commercial license available

Open Source

GPL V2 and FLOSS

Cloud-based only

Only available as a cloud service

yes

DBaaS offerings (sponsored links)

Database as a Service

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

Implementation language

C++

JavaScript

Implementations in Java (e.g. RRD4J) and C# available

Server operating systems

hosted

Linux
OS X
Windows

an inofficial Windows port is available

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

HP-UX
Linux

Data scheme

schema-free

yes

Typing

predefined data types such as float or date

Numeric data and Strings

Numeric data only

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.

Exporting into and restoring from XML files possible

Secondary indexes

restricted

only exact value or prefix value scans

yes

via views

SQL

Support of SQL

APIs and other access methods

HTTP REST

C++ API
Thrift

JavaScript API

in-process shared library
Pipes

Supported programming languages

Java

C++
Java
Perl
PHP
Python
Ruby

JavaScript

with librrd library
C#

with a different implementation of RRDTool
Java

with a different implementation of RRDTool
JavaScript (Node.js)

with a different implementation of RRDTool
Lua
Perl
PHP

with a wrapper library
Python
Ruby

Server-side scripts

Stored procedures

View functions in JavaScript

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

Sharding

none

Replication methods

Methods for redundantly storing data on multiple nodes

selectable replication factor on file system level

none

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

none

Foreign keys

Referential integrity

Transaction concepts

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

atomic operations within a single collection possible

Concurrency

Support for concurrent manipulation of data

yes

by using the rrdcached daemon

Durability

Support for making data persistent

yes

Serialization of a DB in a Node.JS/Cordova/PhoneGap environment. Usage of the IndexedDB-API in a browser.

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 managed on TSDB instance level

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More resources

DB-Engines blog posts

New kids on the block: database management systems implemented in JavaScript
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Time Series DBMS are the database category with the fastest increase in popularity
4 July 2016, Matthias Gelbmann

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1 June 2015, Paul Andlinger

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