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DBMS > Dragonfly vs. Hazelcast vs. Kingbase vs. Teradata Aster

System Properties Comparison Dragonfly vs. Hazelcast vs. Kingbase vs. Teradata Aster

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Editorial information provided by DB-Engines
NameDragonfly  Xexclude from comparisonHazelcast  Xexclude from comparisonKingbase  Xexclude from comparisonTeradata Aster  Xexclude from comparison
Teradata Aster has been integrated into other Teradata systems and therefore will be removed from the DB-Engines ranking.
DescriptionA drop-in Redis replacement that scales vertically to support millions of operations per second and terabyte sized workloads, all on a single instanceA widely adopted in-memory data gridAn enterprise-class RDBMS compatible with PostgreSQL and Oracle and widely used in China.Platform for big data analytics on multistructured data sources and types
Primary database modelKey-value storeKey-value storeRelational DBMSRelational 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
Score0.41
Rank#266  Overall
#38  Key-value stores
Score5.97
Rank#57  Overall
#6  Key-value stores
Score0.45
Rank#262  Overall
#123  Relational DBMS
Websitegithub.com/­dragonflydb/­dragonfly
www.dragonflydb.io
hazelcast.comwww.kingbase.com.cn
Technical documentationwww.dragonflydb.io/­docshazelcast.org/­imdg/­docs
DeveloperDragonflyDB team and community contributorsHazelcastBeiJing KINGBASE Information technologies inc.Teradata
Initial release2023200819992005
Current release1.0, March 20235.3.6, November 2023V8.0, August 2021
License infoCommercial or Open SourceOpen Source infoBSL 1.1Open Source infoApache Version 2; commercial licenses availablecommercialcommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++JavaC and Java
Server operating systemsLinuxAll OS with a Java VMLinux
Windows
Linux
Data schemescheme-freeschema-freeyesFlexible Schema (defined schema, partial schema, schema free) infodefined schema within the relational store; partial schema or schema free in the Aster File Store
Typing infopredefined data types such as float or datestrings, hashes, lists, sets, sorted sets, bit arraysyesyesyes
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 strategyyesyes infoin Aster File Store
Secondary indexesnoyesyesyes
SQL infoSupport of SQLnoSQL-like query languageStandard with numerous extensionsyes
APIs and other access methodsProprietary protocol infoRESP - REdis Serialization ProtocolJCache
JPA
Memcached protocol
RESTful HTTP API
ADO.NET
gokb
JDBC
kdbndp
ODBC
PDI
PDO
Pro*C
psycopg2
QT
ADO.NET
JDBC
ODBC
OLE DB
Supported programming languagesC
C#
C++
Clojure
D
Dart
Elixir
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
Lua
Objective-C
Perl
PHP
Python
R
Ruby
Rust
Scala
Swift
Tcl
.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
.Net
C
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
C
C#
C++
Java
Python
R
Server-side scripts infoStored proceduresLuayes infoEvent Listeners, Executor Servicesuser defined functionsR packages
Triggerspublish/subscribe channels provide some trigger functionalityyes infoEventsyesno
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning (by range, list and hash) and vertical partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyes infoReplicated Mapyesyes infoDimension tables are replicated across all nodes in the cluster. The number of replicas for the file store can be configured.
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnoyes infoSQL Map-Reduce Framework
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of command blocks and scriptsone or two-phase-commit; repeatable reads; read commitedACIDACID
Concurrency infoSupport for concurrent manipulation of datayes, strict serializability by the serveryesyesyes
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.yesyesno
User concepts infoAccess controlPassword-based authenticationRole-based access controlfine grained access rights according to SQL-standardfine grained access rights according to SQL-standard

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More resources
DragonflyHazelcastKingbaseTeradata Aster
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