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DBMS > Drizzle vs. HarperDB vs. Newts vs. Quasardb

System Properties Comparison Drizzle vs. HarperDB vs. Newts vs. Quasardb

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Editorial information provided by DB-Engines
NameDrizzle  Xexclude from comparisonHarperDB  Xexclude from comparisonNewts  Xexclude from comparisonQuasardb  Xexclude from comparison
Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.
DescriptionMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.A distributed database focused on speed and ease of use. It has an intuitive REST API, and supports NoSQL and SQL including joins. HarperDB leverages standard interfaces, and users can be up and running in minutes.Time Series DBMS based on CassandraDistributed, high-performance timeseries database
Primary database modelRelational DBMSDocument storeTime Series DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.77
Rank#198  Overall
#31  Document stores
Score0.00
Rank#353  Overall
#34  Time Series DBMS
Score0.19
Rank#288  Overall
#23  Time Series DBMS
Websiteharperdb.ioopennms.github.io/­newtsquasardb.net
Technical documentationharperdb.io/­developers/­documentation/­overviewgithub.com/­OpenNMS/­newts/­wikidoc.quasardb.net
DeveloperDrizzle project, originally started by Brian AkerHarperDBOpenNMS Groupquasardb
Initial release2008201720142009
Current release7.2.4, September 20123.1, August 20213.1, January 2019
License infoCommercial or Open SourceOpen Source infoGNU GPLcommercial infofree community edition availableOpen Source infoApache 2.0commercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licenses
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
HarperDB Cloud: Get To Market Faster, For Less Money Using Our Built-in API.
Implementation languageC++Node.jsJavaC++
Server operating systemsFreeBSD
Linux
OS X
Linux
OS X
Linux
OS X
Windows
BSD
Linux
OS X
Windows
Data schemeyesdynamic schemaschema-freeschema-free
Typing infopredefined data types such as float or dateyesyes infoJSON data typesyesyes infointeger and binary
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.nonono
Secondary indexesyesyesnoyes infowith tags
SQL infoSupport of SQLyes infowith proprietary extensionsSQL-like data manipulation statementsnoSQL-like query language
APIs and other access methodsJDBCJDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
HTTP REST
Java API
HTTP API
Supported programming languagesC
C++
Java
PHP
.Net
C
C#
C++
ColdFusion
D
Dart
Delphi
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
MatLab
Objective C
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Rust
Scala
Swift
Java.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Server-side scripts infoStored proceduresnoCustom Functions infosince release 3.1nono
Triggersno infohooks for callbacks inside the server can be used.nonono
Partitioning methods infoMethods for storing different data on different nodesShardingA table resides as a whole on one (or more) nodes in a clusterSharding infobased on CassandraSharding infoconsistent hashing
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
yes infothe nodes on which a table resides can be definedselectable replication factor infobased on CassandraSource-replica replication with selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononowith Hadoop integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate Consistency
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic execution of specific operationsnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes, using LMDByesyes infoby using LevelDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes infoTransient mode
User concepts infoAccess controlPluggable authentication mechanisms infoe.g. LDAP, HTTPAccess rights for users and rolesnoCryptographically strong user authentication and audit trail
More information provided by the system vendor
DrizzleHarperDBNewtsQuasardb
Specific characteristicsHarperDB is the first distributed database with hybrid SQL & NoSQL functionality...
» more
High-performance , high-speed, fully integrated timeseries database Seamlessly combines...
» more
Competitive advantagesBy combining the functionality of the best SQL, NoSQL, and NewSQL products on the...
» more
High performance in a cost-effective small package Real-time results for even large...
» more
Typical application scenariosUse cases where HarperDB is a better fit than other solutions include: Rapid app...
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Tick database Predictive maintenance Pre-deal checks Large scale monitoring
» more
Key customersA few highlighted customers include: US Army, US Airforce, Chelan PUD, TATA, & Lumen....
» more
Large EU investment banks US based hedge funds Orolia Tellmeplus
» more
Market metrics6,800 + npm downloads 1,600 + on Docker Hub 2,600 + cloud & local signups
» more
Has been running in very demanding production environments since 2013 Rapid adoption...
» more
Licensing and pricing modelsHarperDB follows a freemium/premium model . A database is only as powerful as it...
» more
Community edition limited to 2 nodes and 16 GiB of storage per node available for...
» more

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DrizzleHarperDBNewtsQuasardb
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