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DBMS > Apache Druid vs. Netezza vs. Quasardb vs. RavenDB

System Properties Comparison Apache Druid vs. Netezza vs. Quasardb vs. RavenDB

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Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonQuasardb  Xexclude from comparisonRavenDB  Xexclude from comparison
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataData warehouse and analytics appliance part of IBM PureSystemsDistributed, high-performance timeseries databaseOpen Source Operational and Transactional Enterprise NoSQL Document Database
Primary database modelRelational DBMS
Time Series DBMS
Relational DBMSTime Series DBMSDocument store
Secondary database modelsGraph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.29
Rank#95  Overall
#49  Relational DBMS
#7  Time Series DBMS
Score10.18
Rank#46  Overall
#29  Relational DBMS
Score0.19
Rank#327  Overall
#30  Time Series DBMS
Score3.01
Rank#101  Overall
#17  Document stores
Websitedruid.apache.orgwww.ibm.com/­products/­netezzaquasar.airavendb.net
Technical documentationdruid.apache.org/­docs/­latest/­designdoc.quasar.ai/­masterravendb.net/­docs
DeveloperApache Software Foundation and contributorsIBMquasardbHibernating Rhinos
Initial release2012200020092010
Current release29.0.1, April 20243.14.1, January 20245.4, July 2022
License infoCommercial or Open SourceOpen Source infoApache license v2commercialcommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensesOpen Source infoAGPL version 3, commercial license available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++C#
Server operating systemsLinux
OS X
Unix
Linux infoincluded in applianceBSD
Linux
OS X
Windows
Linux
macOS
Raspberry Pi
Windows
Data schemeyes infoschema-less columns are supportedyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyes infointeger and binaryno
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.nono
Secondary indexesyesyesyes infowith tagsyes
SQL infoSupport of SQLSQL for queryingyesSQL-like query languageSQL-like query language (RQL)
APIs and other access methodsJDBC
RESTful HTTP/JSON API
JDBC
ODBC
OLE DB
HTTP API.NET Client API
F# Client API
Go Client API
Java Client API
NodeJS Client API
PHP Client API
Python Client API
RESTful HTTP API
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
C
C++
Fortran
Java
Lua
Perl
Python
R
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresnoyesnoyes
Triggersnononoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedShardingSharding infoconsistent hashingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesSource-replica replicationSource-replica replication with selectable replication factorMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyeswith Hadoop integrationyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyDefault ACID transactions on the local node (eventually consistent across the cluster). Atomic operations with cluster-wide ACID transactions. Eventual consistency for indexes and full-text search indexes.
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACID, Cluster-wide transaction available
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoby using LevelDByes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infoTransient mode
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemUsers with fine-grained authorization conceptCryptographically strong user authentication and audit trailAuthorization levels configured per client per database

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More resources
Apache DruidNetezza infoAlso called PureData System for Analytics by IBMQuasardbRavenDB
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