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DBMS > Apache Druid vs. Hazelcast vs. Kinetica vs. Oracle Rdb vs. Sadas Engine

System Properties Comparison Apache Druid vs. Hazelcast vs. Kinetica vs. Oracle Rdb vs. Sadas Engine

Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonHazelcast  Xexclude from comparisonKinetica  Xexclude from comparisonOracle Rdb  Xexclude from comparisonSadas Engine  Xexclude from comparison
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataA widely adopted in-memory data gridFully vectorized database across both GPUs and CPUsSADAS Engine is a columnar DBMS specifically designed for high performance in data warehouse environments
Primary database modelRelational DBMS
Time Series DBMS
Key-value storeRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument store infoJSON support with IMDG 3.12Spatial DBMS
Time Series DBMS
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
Score5.97
Rank#57  Overall
#6  Key-value stores
Score0.64
Rank#236  Overall
#109  Relational DBMS
Score1.08
Rank#184  Overall
#85  Relational DBMS
Score0.00
Rank#383  Overall
#158  Relational DBMS
Websitedruid.apache.orghazelcast.comwww.kinetica.comwww.oracle.com/­database/­technologies/­related/­rdb.htmlwww.sadasengine.com
Technical documentationdruid.apache.org/­docs/­latest/­designhazelcast.org/­imdg/­docsdocs.kinetica.comwww.oracle.com/­database/­technologies/­related/­rdb-doc.htmlwww.sadasengine.com/­en/­sadas-engine-download-free-trial-and-documentation/­#documentation
DeveloperApache Software Foundation and contributorsHazelcastKineticaOracle, originally developed by Digital Equipment Corporation (DEC)SADAS s.r.l.
Initial release20122008201219842006
Current release29.0.1, April 20245.3.6, November 20237.1, August 20217.4.1.1, 20218.0
License infoCommercial or Open SourceOpen Source infoApache license v2Open Source infoApache Version 2; commercial licenses availablecommercialcommercialcommercial infofree trial version available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJavaC, C++C++
Server operating systemsLinux
OS X
Unix
All OS with a Java VMLinuxHP Open VMSAIX
Linux
Windows
Data schemeyes infoschema-less columns are supportedschema-freeyesFlexible Schema (defined schema, partial schema, schema free)yes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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 strategynonono
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLSQL for queryingSQL-like query languageSQL-like DML and DDL statementsyesyes
APIs and other access methodsJDBC
RESTful HTTP/JSON API
JCache
JPA
Memcached protocol
RESTful HTTP API
JDBC
ODBC
RESTful HTTP API
JDBC
ODBC
Proprietary protocol
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
C++
Java
JavaScript (Node.js)
Python
.Net
C
C#
C++
Groovy
Java
PHP
Python
Server-side scripts infoStored proceduresnoyes infoEvent Listeners, Executor Servicesuser defined functionsno
Triggersnoyes infoEventsyes infotriggers when inserted values for one or more columns fall within a specified rangeno
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedShardingShardinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesyes infoReplicated MapSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoone or two-phase-commit; repeatable reads; read commitednoyes, on a single node
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes infoGPU vRAM or System RAMnoyes infomanaged by 'Learn by Usage'
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemRole-based access controlAccess rights for users and roles on table levelAccess rights for users, groups and roles according to SQL-standard

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More resources
Apache DruidHazelcastKineticaOracle RdbSadas Engine
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