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DBMS > DuckDB vs. Hazelcast vs. TypeDB vs. UniData,UniVerse

System Properties Comparison DuckDB vs. Hazelcast vs. TypeDB vs. UniData,UniVerse

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Editorial information provided by DB-Engines
NameDuckDB  Xexclude from comparisonHazelcast  Xexclude from comparisonTypeDB infoformerly named Grakn  Xexclude from comparisonUniData,UniVerse  Xexclude from comparison
DescriptionAn embeddable, in-process, column-oriented SQL OLAP RDBMSA widely adopted in-memory data gridTypeDB is a distributed, hyper-relational database for managing complex data that serves as a knowledge base for cognitive/AI systems.MultiValue database and application server with SQL mapping layer and meta database capabilities
Primary database modelRelational DBMSKey-value storeGraph DBMS
Relational DBMS infoOften described as a 'hyper-relational' database, since it implements the 'Entity-Relationship Paradigm' to manage complex data structures and ontologies.
Multivalue DBMS
Secondary database modelsDocument store infoJSON support with IMDG 3.12
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.18
Rank#291  Overall
#135  Relational DBMS
Score9.66
Rank#48  Overall
#6  Key-value stores
Score0.82
Rank#194  Overall
#18  Graph DBMS
#95  Relational DBMS
Score4.19
Rank#81  Overall
#2  Multivalue DBMS
Websiteduckdb.orghazelcast.comvaticle.comwww.rocketsoftware.com/­products/­rocket-u2
Technical documentationduckdb.org/­docshazelcast.org/­imdg/­docsdocs.vaticle.comwww.rocketsoftware.com/­products/­rocket-u2/­documentation
DeveloperHazelcastGrakn Labs / VaticleRocket Software
Initial release2018200820161985
Current release0.2, August 20204.2, March 20212.3, July 2021
License infoCommercial or Open SourceOpen Source infoMIT LicenseOpen Source infoApache Version 2; commercial licenses availableOpen Source infoGPL Version 3, commercial licenses availablecommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++JavaJavaC
Server operating systemsserver-lessAll OS with a Java VMLinux
OS X
Windows
AIX
HP-UX
Linux
Solaris
Windows
Data schemeyesschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyesyesoptional
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 strategyno
Secondary indexesyesyesyesyes
SQL infoSupport of SQLyesSQL-like query languagenoyes
APIs and other access methodsCLI Client
JDBC
JCache
JPA
Memcached protocol
RESTful HTTP API
console (shell)
gRPC protocol
Workbase (visualisation software)
Java API infoJPA
JDBC
ODBC
OLE DB
Proprietary protocol
RESTful HTTP API
SOAP-based API
Supported programming languagesC
C++
Go info3rd party driver
Java
Python
R
Ruby info3rd party driver
.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
All JVM based languages
Groovy
Java
JavaScript (Node.js)
Python
Scala
.Net
Basic infoU2 Basic
C
Java
Server-side scripts infoStored proceduresnoyes infoEvent Listeners, Executor Servicesnoyes
Triggersnoyes infoEventsnoyes infoU2 Basic
Partitioning methods infoMethods for storing different data on different nodesnoneShardingSharding infoby using Cassandranone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyes infoReplicated MapMulti-source replication infoby using CassandraSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyes infoby using Apache Kafka and Apache Zookeeperno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmImmediate Consistency
Foreign keys infoReferential integritynonono infosubstituted by the relationship featureno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDone or two-phase-commit; repeatable reads; read commitedACIDACID infoconfigurable
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyesyes
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 controlnoRole-based access controlyes infoat REST API level; other APIs in progressAccess rights according to SQL-standard and operating system based
More information provided by the system vendor
DuckDBHazelcastTypeDB infoformerly named GraknUniData,UniVerse
Specific characteristicsHazelcast is an in-memory computing platform that runs applications with extremely...
» more
TypeDB is a database technology that serves as the knowledge base foundation to intelligent...
» more
Competitive advantagesHazelcast has an optimized, multi-threaded architecture that enables the highest...
» more
Expressive and flexible data model: The meta-schema of TypeDB allows for modelling...
» more
Typical application scenariosHazelcast powers many types of large-scale, data processing applications. A sample...
» more
Life sciences : TypeDB makes working with biological data much easier and accelerates...
» more
Key customersHazelcast customers include 50 of the world’s largest financial services companies,...
» more
Licensing and pricing modelsHazelcast provides both open source and commercial software. The open source offering...
» more
AGPL and Commercial . The commercial license is priced based on cluster resources...
» more

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DuckDBHazelcastTypeDB infoformerly named GraknUniData,UniVerse
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