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DBMS > Badger vs. SwayDB vs. Tarantool vs. Vitess

System Properties Comparison Badger vs. SwayDB vs. Tarantool vs. Vitess

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Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonSwayDB  Xexclude from comparisonTarantool  Xexclude from comparisonVitess  Xexclude from comparison
DescriptionAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.An embeddable, non-blocking, type-safe key-value store for single or multiple disks and in-memory storageIn-memory computing platform with a flexible data schema for efficiently building high-performance applicationsScalable, distributed, cloud-native DBMS, extending MySQL
Primary database modelKey-value storeKey-value storeDocument store
Key-value store
Relational DBMS
Relational DBMS
Secondary database modelsSpatial DBMS infowith Tarantool/GIS extensionDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.14
Rank#331  Overall
#49  Key-value stores
Score0.00
Rank#382  Overall
#59  Key-value stores
Score1.72
Rank#144  Overall
#25  Document stores
#25  Key-value stores
#66  Relational DBMS
Score0.82
Rank#209  Overall
#97  Relational DBMS
Websitegithub.com/­dgraph-io/­badgerswaydb.simer.auwww.tarantool.iovitess.io
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgerwww.tarantool.io/­en/­docvitess.io/­docs
DeveloperDGraph LabsSimer PlahaVKThe Linux Foundation, PlanetScale
Initial release2017201820082013
Current release2.10.0, May 202215.0.2, December 2022
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoGNU Affero GPL V3.0Open Source infoBSD-2, source-available extensions (modules), commercial licenses for Tarantool EnterpriseOpen Source infoApache Version 2.0, commercial licenses available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoScalaC and C++Go
Server operating systemsBSD
Linux
OS X
Solaris
Windows
BSD
Linux
macOS
Docker
Linux
macOS
Data schemeschema-freeschema-freeFlexible data schema: relational definition for tables with ability to store json-like documents in columnsyes
Typing infopredefined data types such as float or datenonostring, double, decimal, uuid, integer, blob, boolean, datetimeyes
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 indexesnonoyesyes
SQL infoSupport of SQLnonoFull-featured ANSI SQL supportyes infowith proprietary extensions
APIs and other access methodsOpen binary protocolADO.NET
JDBC
MySQL protocol
ODBC
Supported programming languagesGoJava
Kotlin
Scala
C
C#
C++
Erlang
Go
Java
JavaScript
Lua
Perl
PHP
Python
Rust
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresnonoLua, C and SQL stored proceduresyes infoproprietary syntax
Triggersnonoyes, before/after data modification events, on replication events, client session eventsyes
Partitioning methods infoMethods for storing different data on different nodesnonenoneSharding, partitioned with virtual buckets by user defined affinity key. Live resharding for scale up and scale down without maintenance downtime.Sharding
Replication methods infoMethods for redundantly storing data on multiple nodesnonenoneAsynchronous replication with multi-master option
Configurable replication topology (full-mesh, chain, star)
Synchronous quorum replication (with Raft)
Multi-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate 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
Eventual Consistency across shards
Immediate Consistency within a shard
Foreign keys infoReferential integritynonoyesyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoAtomic execution of operationsACID, with serializable isolation and linearizable read (within partition); Configurable MVCC (within partition); No cross-shard distributed transactionsACID at shard level
Concurrency infoSupport for concurrent manipulation of datayesyesyes, cooperative multitaskingyes infotable locks or row locks depending on storage engine
Durability infoSupport for making data persistentyesyesyes, write ahead loggingyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes, full featured in-memory storage engine with persistenceyes
User concepts infoAccess controlnonoAccess Control Lists
Mutual TLS authentication for Tarantol Enterprise
Password based authentication
Role-based access control (RBAC) and LDAP for Tarantol Enterprise
Users and Roles
Users with fine-grained authorization concept infono user groups or roles

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More resources
BadgerSwayDBTarantoolVitess
DB-Engines blog posts

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

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