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DBMS > Apache Druid vs. Datastax Enterprise vs. Quasardb

System Properties Comparison Apache Druid vs. Datastax Enterprise vs. Quasardb

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Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonDatastax Enterprise  Xexclude from comparisonQuasardb  Xexclude from comparison
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataDataStax Enterprise (DSE) is the always-on, scalable data platform built on Apache Cassandra and designed for hybrid Cloud. DSE integrates graph, search, analytics, administration, developer tooling, and monitoring into a unified platform.Distributed, high-performance timeseries database
Primary database modelRelational DBMS
Time Series DBMS
Wide column storeTime Series DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.81
Rank#100  Overall
#51  Relational DBMS
#6  Time Series DBMS
Score7.76
Rank#54  Overall
#4  Wide column stores
Score0.21
Rank#282  Overall
#22  Time Series DBMS
Websitedruid.apache.orgwww.datastax.com/­products/­datastax-enterprisequasardb.net
Technical documentationdruid.apache.org/­docs/­latest/­designdocs.datastax.comdoc.quasardb.net
DeveloperApache Software Foundation and contributorsDataStaxquasardb
Initial release201220112009
Current release0.21.0, April 20216.8, April 20203.1, January 2019
License infoCommercial or Open SourceOpen Source infoApache license v2commercialcommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licenses
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJavaC++
Server operating systemsLinux
OS X
Unix
Linux
OS X
BSD
Linux
OS X
Windows
Data schemeyes infoschema-less columns are supportedschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyes 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 indexesyesyesyes infowith tags
SQL infoSupport of SQLSQL for queryingSQL-like DML and DDL statements (CQL); Spark SQLSQL-like query language
APIs and other access methodsJDBC
RESTful HTTP/JSON API
Proprietary protocol infoCQL (Cassandra Query Language)
TinkerPop Gremlin infowith DSE Graph
HTTP API
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
C
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Server-side scripts infoStored proceduresnonono
Triggersnoyesno
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedSharding infono "single point of failure"Sharding infoconsistent hashing
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesconfigurable replication factor, datacenter aware, advanced replication for edge computingSource-replica replication with selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyeswith Hadoop integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Tunable Consistency infoconsistency level can be individually decided with each write operation
Immediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanono infoAtomicity and isolation are supported for single operationsACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes infoby using LevelDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes infoTransient mode
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemAccess rights for users can be defined per objectCryptographically strong user authentication and audit trail
More information provided by the system vendor
Apache DruidDatastax EnterpriseQuasardb
Specific characteristicsDataStax Enterprise is scale-out data infrastructure for enterprises that need to...
» more
High-performance , high-speed, fully integrated timeseries database Seamlessly combines...
» more
Competitive advantagesSupporting the following application requirements: Zero downtime - Built on Apache...
» more
High performance in a cost-effective small package Real-time results for even large...
» more
Typical application scenariosApplications that must be massively and linearly scalable with 100% uptime and able...
» more
Tick database Predictive maintenance Pre-deal checks Large scale monitoring
» more
Key customersCapital One, Cisco, Comcast, eBay, McDonald's, Microsoft, Safeway, Sony, UBS, and...
» more
Large EU investment banks US based hedge funds Orolia Tellmeplus
» more
Market metricsAmong the Forbes 100 Most Innovative Companies, DataStax is trusted by 5 of the top...
» more
Has been running in very demanding production environments since 2013 Rapid adoption...
» more
Licensing and pricing modelsAnnual subscription
» more
Community edition limited to 2 nodes and 16 GiB of storage per node available for...
» more

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Apache DruidDatastax EnterpriseQuasardb
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