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DBMS > DuckDB vs. GridGain vs. KeyDB vs. NuoDB vs. Sadas Engine

System Properties Comparison DuckDB vs. GridGain vs. KeyDB vs. NuoDB vs. Sadas Engine

Editorial information provided by DB-Engines
NameDuckDB  Xexclude from comparisonGridGain  Xexclude from comparisonKeyDB  Xexclude from comparisonNuoDB  Xexclude from comparisonSadas Engine  Xexclude from comparison
DescriptionAn embeddable, in-process, column-oriented SQL OLAP RDBMSGridGain is an in-memory computing platform, built on Apache IgniteAn ultra-fast, open source Key-value store fully compatible with Redis API, modules, and protocolsNuoDB is a webscale distributed database that supports SQL and ACID transactionsSADAS Engine is a columnar DBMS specifically designed for high performance in data warehouse environments
Primary database modelRelational DBMSKey-value store
Relational DBMS
Key-value storeRelational DBMSRelational 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
Score0.70
Rank#229  Overall
#32  Key-value stores
Score0.94
Rank#197  Overall
#92  Relational DBMS
Score0.07
Rank#373  Overall
#157  Relational DBMS
Websiteduckdb.orgwww.gridgain.comgithub.com/­Snapchat/­KeyDB
keydb.dev
www.3ds.com/­nuodb-distributed-sql-databasewww.sadasengine.com
Technical documentationduckdb.org/­docswww.gridgain.com/­docs/­index.htmldocs.keydb.devdoc.nuodb.comwww.sadasengine.com/­en/­sadas-engine-download-free-trial-and-documentation/­#documentation
DeveloperGridGain Systems, Inc.EQ Alpha Technology Ltd.Dassault Systèmes infooriginally NuoDB, Inc.SADAS s.r.l.
Initial release20182007201920132006
Current release1.0.0, June 2024GridGain 8.5.18.0
License infoCommercial or Open SourceOpen Source infoMIT LicensecommercialOpen Source infoBSD-3commercial infolimited edition freecommercial infofree trial version available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++Java, C++, .NetC++C++C++
Server operating systemsserver-lessLinux
OS X
Solaris
Windows
Linuxhosted infoAmazon EC2, Windows Azure, SoftLayer
Linux
OS X
Windows
AIX
Linux
Windows
Data schemeyesyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesyespartial infoSupported data types are strings, hashes, lists, sets and sorted sets, bit arrays, hyperloglogs and geospatial indexesyesyes
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.noyesnonono
Secondary indexesyesyesyes infoby using the Redis Search moduleyesyes
SQL infoSupport of SQLyesANSI-99 for query and DML statements, subset of DDLnoyesyes
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
Proprietary protocol infoRESP - REdis Serialization ProtocoADO.NET
JDBC
ODBC
JDBC
ODBC
Proprietary protocol
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
C#
C++
Clojure
Crystal
D
Dart
Elixir
Erlang
Fancy
Go
Haskell
Haxe
Java
JavaScript (Node.js)
Lisp
Lua
MatLab
Objective-C
OCaml
Pascal
Perl
PHP
Prolog
Pure Data
Python
R
Rebol
Ruby
Rust
Scala
Scheme
Smalltalk
Swift
Tcl
Visual Basic
.Net
C
C++
Go
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
.Net
C
C#
C++
Groovy
Java
PHP
Python
Server-side scripts infoStored proceduresnoyes (compute grid and cache interceptors can be used instead)LuaJava, SQLno
Triggersnoyes (cache interceptors and events)noyesno
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardingdata is dynamically stored/cached on the nodes where it is read/writtenhorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyes (replicated cache)Multi-source replication
Source-replica replication
yes infoManaged transparently by NuoDBnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes (compute grid and hadoop accelerator)nonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Strong eventual consistency with CRDTs
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDOptimistic locking, atomic execution of commands blocks and scriptsACID infotunable commit protocol
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyesyes infoMVCCyes
Durability infoSupport for making data persistentyesyesyes infoConfigurable mechanisms for persistency via snapshots and/or operations logsyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyesyes infoTemporary tableyes infomanaged by 'Learn by Usage'
User concepts infoAccess controlnoSecurity Hooks for custom implementationssimple password-based access control and ACLStandard SQL roles/ privileges, Administrative UsersAccess rights for users, groups and roles according to SQL-standard

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More resources
DuckDBGridGainKeyDBNuoDBSadas Engine
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