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DBMS > DuckDB vs. GridGain vs. Hyprcubd vs. Kinetica vs. MarkLogic

System Properties Comparison DuckDB vs. GridGain vs. Hyprcubd vs. Kinetica vs. MarkLogic

Editorial information provided by DB-Engines
NameDuckDB  Xexclude from comparisonGridGain  Xexclude from comparisonHyprcubd  Xexclude from comparisonKinetica  Xexclude from comparisonMarkLogic  Xexclude from comparison
Hyprcubd seems to be discontinued. Therefore it is excluded from the DB-Engines ranking.
DescriptionAn embeddable, in-process, column-oriented SQL OLAP RDBMSGridGain is an in-memory computing platform, built on Apache IgniteServerless Time Series DBMSFully vectorized database across both GPUs and CPUsOperational and transactional Enterprise NoSQL database
Primary database modelRelational DBMSKey-value store
Relational DBMS
Time Series DBMSRelational DBMSDocument store
Native XML DBMS
RDF store infoas of version 7
Search engine
Secondary database modelsSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.63
Rank#69  Overall
#37  Relational DBMS
Score1.55
Rank#150  Overall
#26  Key-value stores
#70  Relational DBMS
Score0.66
Rank#234  Overall
#107  Relational DBMS
Score5.18
Rank#63  Overall
#11  Document stores
#1  Native XML DBMS
#1  RDF stores
#7  Search engines
Websiteduckdb.orgwww.gridgain.comhyprcubd.com (offline)www.kinetica.comwww.progress.com/­marklogic
Technical documentationduckdb.org/­docswww.gridgain.com/­docs/­index.htmldocs.kinetica.comwww.progress.com/­marklogic/­documentation
DeveloperGridGain Systems, Inc.Hyprcubd, Inc.KineticaMarkLogic Corp.
Initial release2018200720122001
Current release1.0.0, June 2024GridGain 8.5.17.1, August 202111.0, December 2022
License infoCommercial or Open SourceOpen Source infoMIT Licensecommercialcommercialcommercialcommercial inforestricted free version is available
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++Java, C++, .NetGoC, C++C++
Server operating systemsserver-lessLinux
OS X
Solaris
Windows
hostedLinuxLinux
OS X
Windows
Data schemeyesyesyesyesschema-free infoSchema can be enforced
Typing infopredefined data types such as float or dateyesyesyes infotime, int, uint, float, stringyesyes
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.noyesnonoyes
Secondary indexesyesyesnoyesyes
SQL infoSupport of SQLyesANSI-99 for query and DML statements, subset of DDLSQL-like query languageSQL-like DML and DDL statementsyes infoSQL92
APIs and other access methodsArrow Database Connectivity (ADBC)
CLI Client
JDBC
ODBC
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
gRPC (https)JDBC
ODBC
RESTful HTTP API
Java API
Node.js Client API
ODBC
proprietary Optic API infoProprietary Query API, introduced with version 9
RESTful HTTP API
SPARQL
WebDAV
XDBC
XQuery
XSLT
Supported programming languagesC
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
C#
C++
Java
PHP
Python
Ruby
Scala
C++
Java
JavaScript (Node.js)
Python
C
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresnoyes (compute grid and cache interceptors can be used instead)nouser defined functionsyes infovia XQuery or JavaScript
Triggersnoyes (cache interceptors and events)noyes infotriggers when inserted values for one or more columns fall within a specified rangeyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyes (replicated cache)Source-replica replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes (compute grid and hadoop accelerator)nonoyes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobs
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integritynononoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnonoACID infocan act as a resource manager in an XA/JTA transaction
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesnoyesyes
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.yesyesnoyes infoGPU vRAM or System RAMyes, with Range Indexes
User concepts infoAccess controlnoSecurity Hooks for custom implementationstoken accessAccess rights for users and roles on table levelRole-based access control at the document and subdocument levels

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More resources
DuckDBGridGainHyprcubdKineticaMarkLogic
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