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Quasardb System Properties

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Editorial information provided by DB-Engines

Name

Description

Distributed, high-performance timeseries database

Primary database model

Time Series DBMS

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

Score	0.19
Rank	#285	Overall
	#22	Time Series DBMS

Website

quasardb.net

Technical documentation

doc.quasardb.net

Developer

quasardb

Initial release

2009

Current release

3.1, January 2019

License

Commercial or Open Source

commercial

Free community edition, Non-profit organizations and non-commercial usage are eligible for free licenses

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++

Server operating systems

BSD
Linux
OS X
Windows

Data scheme

schema-free

Typing

predefined data types such as float or date

yes

integer and binary

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

with tags

SQL

Support of SQL

SQL-like query language

APIs and other access methods

HTTP API

Supported programming languages

.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R

Server-side scripts

Stored procedures

Triggers

Partitioning methods

Methods for storing different data on different nodes

Sharding

consistent hashing

Replication methods

Methods for redundantly storing data on multiple nodes

Source-replica replication with selectable replication factor

MapReduce

Offers an API for user-defined Map/Reduce methods

with Hadoop integration

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Foreign keys

Referential integrity

Transaction concepts

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

ACID

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

yes

by using LevelDB

In-memory capabilities

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

yes

Transient mode

User concepts

Access control

Cryptographically strong user authentication and audit trail

More information provided by the system vendor

Specific characteristics

High-performance, high-speed, fully integrated timeseries database
Seamlessly combines in-memory capabilities with reliable storage
Very high ingress capabilities
Horizontal and vertical scaling for virtually limitless storage without performance loss
Adaptive compression for efficient storage usage
Easy data access through APIs or SQL-like query language
Direct to data approach for easy outbound integration
Runs on premises and in the cloud

Competitive advantages

High performance in a cost-effective small package
Real-time results for even large requests or computations
Very low operational complexity
Efficient and scalable disk storage
Offered at varying price points

Typical application scenarios

Tick database
Predictive maintenance
Pre-deal checks
Large scale monitoring

Key customers

Large EU investment banks
US based hedge funds
Orolia
Tellmeplus

Market metrics

Has been running in very demanding production environments since 2013
Rapid adoption in the US market

Licensing and pricing models

Community edition limited to 2 nodes and 16 GiB of storage per node available for free
Licensing based on RAM usage - nodes, cores, and disk storage are unlimited

Related products and services

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources

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