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DBMS > Apache Druid vs. HBase vs. Manticore Search vs. MonetDB

System Properties Comparison Apache Druid vs. HBase vs. Manticore Search vs. MonetDB

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Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonHBase  Xexclude from comparisonManticore Search  Xexclude from comparisonMonetDB  Xexclude from comparison
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataWide-column store based on Apache Hadoop and on concepts of BigTableMulti-storage database for search, including full-text search.A relational database management system that stores data in columns
Primary database modelRelational DBMS
Time Series DBMS
Wide column storeSearch engineRelational DBMS
Secondary database modelsTime Series DBMS infousing the Manticore Columnar LibraryDocument store
Spatial 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
Score31.25
Rank#26  Overall
#2  Wide column stores
Score0.23
Rank#317  Overall
#21  Search engines
Score1.72
Rank#148  Overall
#68  Relational DBMS
Websitedruid.apache.orghbase.apache.orgmanticoresearch.comwww.monetdb.org
Technical documentationdruid.apache.org/­docs/­latest/­designhbase.apache.org/­book.htmlmanual.manticoresearch.comwww.monetdb.org/­Documentation
DeveloperApache Software Foundation and contributorsApache Software Foundation infoApache top-level project, originally developed by PowersetManticore SoftwareMonetDB BV
Initial release2012200820172004
Current release29.0.1, April 20242.3.4, January 20216.0, February 2023Dec2023 (11.49), December 2023
License infoCommercial or Open SourceOpen Source infoApache license v2Open Source infoApache version 2Open Source infoGPL version 2Open Source infoMozilla Public License 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaC++C
Server operating systemsLinux
OS X
Unix
Linux
Unix
Windows infousing Cygwin
FreeBSD
Linux
macOS
Windows
FreeBSD
Linux
OS X
Solaris
Windows
Data schemeyes infoschema-less columns are supportedschema-free, schema definition possibleFixed schemayes
Typing infopredefined data types such as float or dateyesoptions to bring your own types, AVROInt, Bigint, Float, Timestamp, Bit, Int array, Bigint array, JSON, Booleanyes
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.nonoCan index from XML
Secondary indexesyesnoyes infofull-text index on all search fieldsyes
SQL infoSupport of SQLSQL for queryingnoSQL-like query languageyes infoSQL 2003 with some extensions
APIs and other access methodsJDBC
RESTful HTTP/JSON API
Java API
RESTful HTTP API
Thrift
Binary API
RESTful HTTP/JSON API
RESTful HTTP/SQL API
SQL over MySQL
JDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
C
C#
C++
Groovy
Java
PHP
Python
Scala
Elixir
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
C
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Server-side scripts infoStored proceduresnoyes infoCoprocessors in Javauser defined functionsyes, in SQL, C, R
Triggersnoyesnoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedShardingSharding infoPartitioning is done manually, search queries against distributed index is supportedSharding via remote tables
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesMulti-source replication
Source-replica replication
Synchronous replication based on Galera librarynone infoSource-replica replication available in experimental status
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoSingle row ACID (across millions of columns)yes infoisolated transactions for atomic changes and binary logging for safe writesACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoThe original contents of fields are not stored in the Manticore index.yes
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 systemAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACnofine grained access rights according to SQL-standard

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Apache DruidHBaseManticore SearchMonetDB
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