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DBMS > Apache Druid vs. GridGain vs. MonetDB vs. YottaDB

System Properties Comparison Apache Druid vs. GridGain vs. MonetDB vs. YottaDB

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Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonGridGain  Xexclude from comparisonMonetDB  Xexclude from comparisonYottaDB  Xexclude from comparison
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataGridGain is an in-memory computing platform, built on Apache IgniteA relational database management system that stores data in columnsA fast and solid embedded Key-value store
Primary database modelRelational DBMS
Time Series DBMS
Key-value store
Relational DBMS
Relational DBMSKey-value store
Secondary database modelsDocument store
Spatial DBMS
Relational DBMS infousing the Octo plugin
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.34
Rank#88  Overall
#48  Relational DBMS
#7  Time Series DBMS
Score1.47
Rank#154  Overall
#26  Key-value stores
#72  Relational DBMS
Score1.72
Rank#145  Overall
#67  Relational DBMS
Score0.20
Rank#317  Overall
#47  Key-value stores
Websitedruid.apache.orgwww.gridgain.comwww.monetdb.orgyottadb.com
Technical documentationdruid.apache.org/­docs/­latest/­designwww.gridgain.com/­docs/­index.htmlwww.monetdb.org/­Documentationyottadb.com/­resources/­documentation
DeveloperApache Software Foundation and contributorsGridGain Systems, Inc.MonetDB BVYottaDB, LLC
Initial release2012200720042001
Current release29.0.1, April 2024GridGain 8.5.1Dec2023 (11.49), December 2023
License infoCommercial or Open SourceOpen Source infoApache license v2commercialOpen Source infoMozilla Public License 2.0Open Source infoAGPL 3.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJava, C++, .NetCC
Server operating systemsLinux
OS X
Unix
Linux
OS X
Solaris
Windows
FreeBSD
Linux
OS X
Solaris
Windows
Docker
Linux
Data schemeyes infoschema-less columns are supportedyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesno
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.noyesno
Secondary indexesyesyesyesno
SQL infoSupport of SQLSQL for queryingANSI-99 for query and DML statements, subset of DDLyes infoSQL 2003 with some extensionsby using the Octo plugin
APIs and other access methodsJDBC
RESTful HTTP/JSON API
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
JDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
PostgreSQL wire protocol infousing the Octo plugin
Proprietary protocol
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
C#
C++
Java
PHP
Python
Ruby
Scala
C
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
C
Go
JavaScript (Node.js)
Lua
M
Perl
Python
Rust
Server-side scripts infoStored proceduresnoyes (compute grid and cache interceptors can be used instead)yes, in SQL, C, R
Triggersnoyes (cache interceptors and events)yes
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedShardingSharding via remote tables
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesyes (replicated cache)none infoSource-replica replication available in experimental statusyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes (compute grid and hadoop accelerator)nono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDoptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyesyes
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.noyesyes
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemSecurity Hooks for custom implementationsfine grained access rights according to SQL-standardUsers and groups based on OS-security mechanisms

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More resources
Apache DruidGridGainMonetDBYottaDB
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