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DBMS > Fauna vs. Tarantool vs. Tkrzw

System Properties Comparison Fauna vs. Tarantool vs. Tkrzw

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Editorial information provided by DB-Engines
NameFauna infopreviously named FaunaDB  Xexclude from comparisonTarantool  Xexclude from comparisonTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet  Xexclude from comparison
DescriptionFauna provides a web-native interface, with support for GraphQL and custom business logic that integrates seamlessly with the rest of the serverless ecosystem. The underlying globally distributed storage and compute platform is fast, consistent, and reliable, with a modern security infrastructure.In-memory computing platform with a flexible data schema for efficiently building high-performance applicationsA concept of libraries, allowing an application program to store and query key-value pairs in a file. Successor of Tokyo Cabinet and Kyoto Cabinet
Primary database modelDocument store
Graph DBMS
Relational DBMS
Time Series DBMS
Document store
Key-value store
Relational DBMS
Key-value store
Secondary database modelsSpatial DBMS infowith Tarantool/GIS extension
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.48
Rank#145  Overall
#25  Document stores
#13  Graph DBMS
#66  Relational DBMS
#13  Time Series DBMS
Score1.44
Rank#149  Overall
#26  Document stores
#25  Key-value stores
#67  Relational DBMS
Score0.00
Rank#392  Overall
#63  Key-value stores
Websitefauna.comwww.tarantool.iodbmx.net/­tkrzw
Technical documentationdocs.fauna.comwww.tarantool.io/­en/­doc
DeveloperFauna, Inc.VKMikio Hirabayashi
Initial release201420082020
Current release2.10.0, May 20220.9.3, August 2020
License infoCommercial or Open SourcecommercialOpen Source infoBSD-2, source-available extensions (modules), commercial licenses for Tarantool EnterpriseOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud serviceyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageScalaC and C++C++
Server operating systemshostedBSD
Linux
macOS
Linux
macOS
Data schemeschema-freeFlexible data schema: relational definition for tables with ability to store json-like documents in columnsschema-free
Typing infopredefined data types such as float or datenostring, double, decimal, uuid, integer, blob, boolean, datetimeno
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.nonono
Secondary indexesyesyes
SQL infoSupport of SQLnoFull-featured ANSI SQL supportno
APIs and other access methodsRESTful HTTP APIOpen binary protocol
Supported programming languagesC#
Go
Java
JavaScript
Python
Ruby
Scala
Swift
C
C#
C++
Erlang
Go
Java
JavaScript
Lua
Perl
PHP
Python
Rust
C++
Java
Python
Ruby
Server-side scripts infoStored proceduresuser defined functionsLua, C and SQL stored proceduresno
Triggersnoyes, before/after data modification events, on replication events, client session eventsno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning infoconsistent hashingSharding, partitioned with virtual buckets by user defined affinity key. Live resharding for scale up and scale down without maintenance downtime.none
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationAsynchronous replication with multi-master option
Configurable replication topology (full-mesh, chain, star)
Synchronous quorum replication (with Raft)
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyCasual 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 Consistency
Foreign keys infoReferential integrityyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID, with serializable isolation and linearizable read (within partition); Configurable MVCC (within partition); No cross-shard distributed transactions
Concurrency infoSupport for concurrent manipulation of datayesyes, cooperative multitaskingyes
Durability infoSupport for making data persistentyesyes, write ahead loggingyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes, full featured in-memory storage engine with persistenceyes infousing specific database classes
User concepts infoAccess controlIdentity management, authentication, and access controlAccess Control Lists
Mutual TLS authentication for Tarantol Enterprise
Password based authentication
Role-based access control (RBAC) and LDAP for Tarantol Enterprise
Users and Roles
no

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More resources
Fauna infopreviously named FaunaDBTarantoolTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet
DB-Engines blog posts

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

show all

Recent citations in the news

Fauna Adds Declarative Tool to Update Namesake Database
1 July 2024, DevOps.com

New Innovative Schema Features Expand Capabilities of Fauna’s Document-Relational Database
20 June 2024, GlobeNewswire

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8 November 2024, Utah Division of Wildlife Resources

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Fauna Launches Distributed Document-Relational Database On Google Cloud Marketplace
21 March 2024, GlobeNewswire

provided by Google News

VShard — horizontal scaling in Tarantool
7 March 2019, Хабр

provided by Google News



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