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DBMS > Apache Druid vs. DuckDB vs. Hazelcast vs. Kingbase

System Properties Comparison Apache Druid vs. DuckDB vs. Hazelcast vs. Kingbase

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Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonDuckDB  Xexclude from comparisonHazelcast  Xexclude from comparisonKingbase  Xexclude from comparison
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataAn embeddable, in-process, column-oriented SQL OLAP RDBMSA widely adopted in-memory data gridAn enterprise-class RDBMS compatible with PostgreSQL and Oracle and widely used in China.
Primary database modelRelational DBMS
Time Series DBMS
Relational DBMSKey-value storeRelational DBMS
Secondary database modelsDocument store infoJSON support with IMDG 3.12Document store
Spatial 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
Score4.57
Rank#74  Overall
#40  Relational DBMS
Score5.97
Rank#57  Overall
#6  Key-value stores
Score0.45
Rank#262  Overall
#123  Relational DBMS
Websitedruid.apache.orgduckdb.orghazelcast.comwww.kingbase.com.cn
Technical documentationdruid.apache.org/­docs/­latest/­designduckdb.org/­docshazelcast.org/­imdg/­docs
DeveloperApache Software Foundation and contributorsHazelcastBeiJing KINGBASE Information technologies inc.
Initial release2012201820081999
Current release29.0.1, April 20240.10, February 20245.3.6, November 2023V8.0, August 2021
License infoCommercial or Open SourceOpen Source infoApache license v2Open Source infoMIT LicenseOpen Source infoApache Version 2; commercial licenses availablecommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++JavaC and Java
Server operating systemsLinux
OS X
Unix
server-lessAll OS with a Java VMLinux
Windows
Data schemeyes infoschema-less columns are supportedyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesyes
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.nonoyes infothe object must implement a serialization strategyyes
Secondary indexesyesyesyesyes
SQL infoSupport of SQLSQL for queryingyesSQL-like query languageStandard with numerous extensions
APIs and other access methodsJDBC
RESTful HTTP/JSON API
Arrow Database Connectivity (ADBC)
CLI Client
JDBC
ODBC
JCache
JPA
Memcached protocol
RESTful HTTP API
ADO.NET
gokb
JDBC
kdbndp
ODBC
PDI
PDO
Pro*C
psycopg2
QT
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
C
C# info3rd party driver
C++
Crystal info3rd party driver
Go info3rd party driver
Java
Lisp info3rd party driver
Python
R
Ruby info3rd party driver
Rust
Swift
Zig info3rd party driver
.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
.Net
C
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Server-side scripts infoStored proceduresnonoyes infoEvent Listeners, Executor Servicesuser defined functions
Triggersnonoyes infoEventsyes
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basednoneShardinghorizontal partitioning (by range, list and hash) and vertical partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesnoneyes infoReplicated Mapyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmImmediate Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDone or two-phase-commit; repeatable reads; read commitedACID
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyes
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 systemnoRole-based access controlfine grained access rights according to SQL-standard

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More resources
Apache DruidDuckDBHazelcastKingbase
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