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DBMS > KeyDB vs. Tarantool vs. Trafodion vs. WakandaDB

System Properties Comparison KeyDB vs. Tarantool vs. Trafodion vs. WakandaDB

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Editorial information provided by DB-Engines
NameKeyDB  Xexclude from comparisonTarantool  Xexclude from comparisonTrafodion  Xexclude from comparisonWakandaDB  Xexclude from comparison
Apache Trafodion has been retired in 2021. Therefore it is excluded from the DB-Engines Ranking.
DescriptionAn ultra-fast, open source Key-value store fully compatible with Redis API, modules, and protocolsIn-memory computing platform with a flexible data schema for efficiently building high-performance applicationsTransactional SQL-on-Hadoop DBMSWakandaDB is embedded in a server that provides a REST API and a server-side javascript engine to access data
Primary database modelKey-value storeDocument store
Key-value store
Relational DBMS
Relational DBMSObject oriented DBMS
Secondary database modelsSpatial DBMS infowith Tarantool/GIS extension
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.63
Rank#232  Overall
#32  Key-value stores
Score1.63
Rank#139  Overall
#25  Document stores
#24  Key-value stores
#65  Relational DBMS
Score0.03
Rank#364  Overall
#17  Object oriented DBMS
Websitegithub.com/­Snapchat/­KeyDB
keydb.dev
www.tarantool.iotrafodion.apache.orgwakanda.github.io
Technical documentationdocs.keydb.devwww.tarantool.io/­en/­doctrafodion.apache.org/­documentation.htmlwakanda.github.io/­doc
DeveloperEQ Alpha Technology Ltd.VKApache Software Foundation, originally developed by HPWakanda SAS
Initial release2019200820142012
Current release2.10.0, May 20222.3.0, February 20192.7.0 (April 29, 2019), April 2019
License infoCommercial or Open SourceOpen Source infoBSD-3Open Source infoBSD-2, source-available extensions (modules), commercial licenses for Tarantool EnterpriseOpen Source infoApache 2.0Open Source infoAGPLv3, extended commercial license available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C and C++C++, JavaC++, JavaScript
Server operating systemsLinuxBSD
Linux
macOS
LinuxLinux
OS X
Windows
Data schemeschema-freeFlexible data schema: relational definition for tables with ability to store json-like documents in columnsyesyes
Typing infopredefined data types such as float or datepartial infoSupported data types are strings, hashes, lists, sets and sorted sets, bit arrays, hyperloglogs and geospatial indexesstring, double, decimal, uuid, integer, blob, boolean, datetimeyesyes
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.nononono
Secondary indexesyes infoby using the Redis Search moduleyesyes
SQL infoSupport of SQLnoFull-featured ANSI SQL supportyesno
APIs and other access methodsProprietary protocol infoRESP - REdis Serialization ProtocoOpen binary protocolADO.NET
JDBC
ODBC
RESTful HTTP API
Supported programming languagesC
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
C
C#
C++
Erlang
Go
Java
JavaScript
Lua
Perl
PHP
Python
Rust
All languages supporting JDBC/ODBC/ADO.NetJavaScript
Server-side scripts infoStored proceduresLuaLua, C and SQL stored proceduresJava Stored Proceduresyes
Triggersnoyes, before/after data modification events, on replication events, client session eventsnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding, partitioned with virtual buckets by user defined affinity key. Live resharding for scale up and scale down without maintenance downtime.Shardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Asynchronous replication with multi-master option
Configurable replication topology (full-mesh, chain, star)
Synchronous quorum replication (with Raft)
yes, via HBasenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infovia user defined functions and HBaseno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Strong eventual consistency with CRDTs
Casual consistency across sharding partitions
Eventual consistency within replicaset partition infowhen using asyncronous replication
Immediate Consistency within single instance
Sequential consistency including linearizable read within replicaset partition infowhen using Raft
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataOptimistic locking, atomic execution of commands blocks and scriptsACID, with serializable isolation and linearizable read (within partition); Configurable MVCC (within partition); No cross-shard distributed transactionsACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes, cooperative multitaskingyesyes
Durability infoSupport for making data persistentyes infoConfigurable mechanisms for persistency via snapshots and/or operations logsyes, write ahead loggingyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes, full featured in-memory storage engine with persistencenono
User concepts infoAccess controlsimple password-based access control and ACLAccess Control Lists
Mutual TLS authentication for Tarantol Enterprise
Password based authentication
Role-based access control (RBAC) and LDAP for Tarantol Enterprise
Users and Roles
fine grained access rights according to SQL-standardyes

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More resources
KeyDBTarantoolTrafodionWakandaDB
DB-Engines blog posts

Data processing speed and reliability: in-memory synchronous replication
9 November 2021,  Vladimir Perepelytsya, Tarantool (sponsor) 

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