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DBMS > Apache Druid vs. BaseX vs. Hazelcast vs. Hypertable

System Properties Comparison Apache Druid vs. BaseX vs. Hazelcast vs. Hypertable

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Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonBaseX  Xexclude from comparisonHazelcast  Xexclude from comparisonHypertable  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataLight-weight Native XML DBMS with support for XQuery 3.0 and interactive GUI.A widely adopted in-memory data gridAn open source BigTable implementation based on distributed file systems such as Hadoop
Primary database modelRelational DBMS
Time Series DBMS
Native XML DBMSKey-value storeWide column store
Secondary database modelsDocument store infoJSON support with IMDG 3.12
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.25
Rank#90  Overall
#47  Relational DBMS
#7  Time Series DBMS
Score1.84
Rank#135  Overall
#4  Native XML DBMS
Score5.46
Rank#61  Overall
#7  Key-value stores
Websitedruid.apache.orgbasex.orghazelcast.com
Technical documentationdruid.apache.org/­docs/­latest/­designdocs.basex.orghazelcast.org/­imdg/­docs
DeveloperApache Software Foundation and contributorsBaseX GmbHHazelcastHypertable Inc.
Initial release2012200720082009
Current release29.0.1, April 202411.0, June 20245.3.6, November 20230.9.8.11, March 2016
License infoCommercial or Open SourceOpen Source infoApache license v2Open Source infoBSD licenseOpen Source infoApache Version 2; commercial licenses availableOpen Source infoGNU 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 languageJavaJavaJavaC++
Server operating systemsLinux
OS X
Unix
Linux
OS X
Windows
All OS with a Java VMLinux
OS X
Windows infoan inofficial Windows port is available
Data schemeyes infoschema-less columns are supportedschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyesno infoXQuery supports typesyesno
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.noyes infothe object must implement a serialization strategy
Secondary indexesyesyesyesrestricted infoonly exact value or prefix value scans
SQL infoSupport of SQLSQL for queryingnoSQL-like query languageno
APIs and other access methodsJDBC
RESTful HTTP/JSON API
Java API
RESTful HTTP API
RESTXQ
WebDAV
XML:DB
XQJ
JCache
JPA
Memcached protocol
RESTful HTTP API
C++ API
Thrift
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
Actionscript
C
C#
Haskell
Java
JavaScript infoNode.js
Lisp
Perl
PHP
Python
Qt
Rebol
Ruby
Scala
Visual Basic
.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
C++
Java
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresnoyesyes infoEvent Listeners, Executor Servicesno
Triggersnoyes infovia eventsyes infoEventsno
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basednoneShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesnoneyes infoReplicated Mapselectable replication factor on file system level
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmImmediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanomultiple readers, single writerone or two-phase-commit; repeatable reads; read commitedno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemUsers with fine-grained authorization concept on 4 levelsRole-based access controlno

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More resources
Apache DruidBaseXHazelcastHypertable
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