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DBMS > Riak KV vs. STSdb vs. Titan vs. Vitess

System Properties Comparison Riak KV vs. STSdb vs. Titan vs. Vitess

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Editorial information provided by DB-Engines
NameRiak KV  Xexclude from comparisonSTSdb  Xexclude from comparisonTitan  Xexclude from comparisonVitess  Xexclude from comparison
Titan has been decommisioned after the takeover by Datastax. It will be removed from the DB-Engines ranking. A fork has been open-sourced as JanusGraph.
DescriptionDistributed, fault tolerant key-value storeKey-Value Store with special method for indexing infooptimized for high performance using a special indexing methodTitan is a Graph DBMS optimized for distributed clusters.Scalable, distributed, cloud-native DBMS, extending MySQL
Primary database modelKey-value store infowith links between data sets and object tags for the creation of secondary indexesKey-value storeGraph DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.01
Rank#79  Overall
#9  Key-value stores
Score0.10
Rank#357  Overall
#51  Key-value stores
Score0.88
Rank#203  Overall
#95  Relational DBMS
Websitegithub.com/­STSSoft/­STSdb4github.com/­thinkaurelius/­titanvitess.io
Technical documentationwww.tiot.jp/­riak-docs/­riak/­kv/­latestgithub.com/­thinkaurelius/­titan/­wikivitess.io/­docs
DeveloperOpenSource, formerly Basho TechnologiesSTS Soft SCAurelius, owned by DataStaxThe Linux Foundation, PlanetScale
Initial release2009201120122013
Current release3.2.0, December 20224.0.8, September 201515.0.2, December 2022
License infoCommercial or Open SourceOpen Source infoApache version 2, commercial enterprise editionOpen Source infoGPLv2, commercial license availableOpen Source infoApache license, version 2.0Open 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 languageErlangC#JavaGo
Server operating systemsLinux
OS X
WindowsLinux
OS X
Unix
Windows
Docker
Linux
macOS
Data schemeschema-freeyesyesyes
Typing infopredefined data types such as float or datenoyes infoprimitive types and user defined types (classes)yesyes
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.no
Secondary indexesrestrictednoyesyes
SQL infoSupport of SQLnononoyes infowith proprietary extensions
APIs and other access methodsHTTP API
Native Erlang Interface
.NET Client APIJava API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
ADO.NET
JDBC
MySQL protocol
ODBC
Supported programming languagesC infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
C#
Java
Clojure
Java
Python
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 proceduresErlangnoyesyes infoproprietary syntax
Triggersyes infopre-commit hooks and post-commit hooksnoyesyes
Partitioning methods infoMethods for storing different data on different nodesSharding infono "single point of failure"noneyes infovia pluggable storage backendsSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factornoneyesMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnoyes infovia Faunus, a graph analytics engineno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual Consistency
Immediate Consistency
Eventual Consistency across shards
Immediate Consistency within a shard
Foreign keys infoReferential integrityno infolinks between data sets can be storednoyes infoRelationships in graphyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDACID at shard level
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infotable locks or row locks depending on storage engine
Durability infoSupport for making data persistentyesyesyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcastyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes
User concepts infoAccess controlyes, using Riak SecuritynoUser authentification and security via Rexster Graph ServerUsers with fine-grained authorization concept infono user groups or roles

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More resources
Riak KVSTSdbTitanVitess
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Recent citations in the news

Basho Revamps Riak Open-Source Database
22 September 2023, InformationWeek

A Critique of Resizable Hash Tables: Riak Core & Random Slicing
26 August 2018, InfoQ.com

Basho to Bolster Riak with DB Plug-Ins
5 May 2014, Datanami

Riak NoSQL snapped up by Bet365
12 September 2017, ComputerWeekly.com

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28 May 2015, DatacenterDynamics

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DataStax Acquires Aurelius and its TitanDB Graph Database
31 May 2024, Data Center Knowledge

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24 August 2015, AWS Blog

Titan Graph Database Integration with DynamoDB: World-class Performance, Availability, and Scale for New Workloads
20 August 2015, All Things Distributed

JanusGraph Picks Up Where TitanDB Left Off
13 January 2017, Datanami

DataStax acquires Aurelius, the startup behind the Titan graph database
3 February 2015, VentureBeat

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PlanetScale Unveils Distributed MySQL Database Service Based on Vitess
18 May 2021, Datanami

PlanetScale grabs YouTube-developed open-source tech, promises Vitess DBaaS with on-the-fly schema changes
18 May 2021, The Register

They scaled YouTube -- now they’ll shard everyone with PlanetScale
13 December 2018, TechCrunch

With Vitess 4.0, database vendor matures cloud-native platform
13 November 2019, TechTarget

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19 February 2019, InfoQ.com

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