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DBMS > Citus vs. DolphinDB vs. Hazelcast vs. Quasardb

System Properties Comparison Citus vs. DolphinDB vs. Hazelcast vs. Quasardb

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Editorial information provided by DB-Engines
NameCitus  Xexclude from comparisonDolphinDB  Xexclude from comparisonHazelcast  Xexclude from comparisonQuasardb  Xexclude from comparison
DescriptionScalable hybrid operational and analytics RDBMS for big data use cases based on PostgreSQLDolphinDB is a high performance Time Series DBMS. It is integrated with an easy-to-use fully featured programming language and a high-volume high-velocity streaming analytics system. It offers operational simplicity, scalability, fault tolerance, and concurrency.A widely adopted in-memory data gridDistributed, high-performance timeseries database
Primary database modelRelational DBMSTime Series DBMS
Vector DBMS
Key-value storeTime Series DBMS
Secondary database modelsDocument storeRelational DBMSDocument store infoJSON support with IMDG 3.12
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.13
Rank#117  Overall
#56  Relational DBMS
Score2.72
Rank#100  Overall
#8  Time Series DBMS
#5  Vector DBMS
Score5.72
Rank#59  Overall
#6  Key-value stores
Score0.13
Rank#332  Overall
#28  Time Series DBMS
Websitewww.citusdata.comwww.dolphindb.comhazelcast.comquasar.ai
Technical documentationdocs.citusdata.comdocs.dolphindb.cn/­en/­help200/­index.htmlhazelcast.org/­imdg/­docsdoc.quasar.ai/­master
DeveloperDolphinDB, IncHazelcastquasardb
Initial release2010201820082009
Current release8.1, December 2018v2.00.4, January 20225.3.6, November 20233.14.1, January 2024
License infoCommercial or Open SourceOpen Source infoAGPL, commercial license also availablecommercial infofree community version availableOpen Source infoApache Version 2; commercial licenses availablecommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licenses
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCC++JavaC++
Server operating systemsLinuxLinux
Windows
All OS with a Java VMBSD
Linux
OS X
Windows
Data schemeyesyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyesyes infointeger and binary
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.yes infospecific XML type available, but no XML query functionalitynoyes infothe object must implement a serialization strategyno
Secondary indexesyesyesyesyes infowith tags
SQL infoSupport of SQLyes infostandard, with numerous extensionsSQL-like query languageSQL-like query languageSQL-like query language
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
JDBC
JSON over HTTP
Kafka
MQTT (Message Queue Telemetry Transport)
ODBC
OPC DA
OPC UA
RabbitMQ
WebSocket
JCache
JPA
Memcached protocol
RESTful HTTP API
HTTP API
Supported programming languages.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C#
C++
Go
Java
JavaScript
MatLab
Python
R
Rust
.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Server-side scripts infoStored proceduresuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.yesyes infoEvent Listeners, Executor Servicesno
Triggersyesnoyes infoEventsno
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioningShardingSharding infoconsistent hashing
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication infoother methods possible by using 3rd party extensionsyesyes infoReplicated MapSource-replica replication with selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyeswith Hadoop integration
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 integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyesone or two-phase-commit; repeatable reads; read commitedACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoby using LevelDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesyes infoTransient mode
User concepts infoAccess controlfine grained access rights according to SQL-standardAdministrators, Users, GroupsRole-based access controlCryptographically strong user authentication and audit trail

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More resources
CitusDolphinDBHazelcastQuasardb
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