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DBMS > Lovefield vs. Riak TS vs. Sphinx vs. Vitess

System Properties Comparison Lovefield vs. Riak TS vs. Sphinx vs. Vitess

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Editorial information provided by DB-Engines
NameLovefield  Xexclude from comparisonRiak TS  Xexclude from comparisonSphinx  Xexclude from comparisonVitess  Xexclude from comparison
DescriptionEmbeddable relational database for web apps written in pure JavaScriptRiak TS is a distributed NoSQL database optimized for time series data and based on Riak KVOpen source search engine for searching in data from different sources, e.g. relational databasesScalable, distributed, cloud-native DBMS, extending MySQL
Primary database modelRelational DBMSTime Series DBMSSearch engineRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.29
Rank#293  Overall
#133  Relational DBMS
Score0.20
Rank#319  Overall
#27  Time Series DBMS
Score5.98
Rank#56  Overall
#5  Search engines
Score0.82
Rank#209  Overall
#97  Relational DBMS
Websitegoogle.github.io/­lovefieldsphinxsearch.comvitess.io
Technical documentationgithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mdwww.tiot.jp/­riak-docs/­riak/­ts/­latestsphinxsearch.com/­docsvitess.io/­docs
DeveloperGoogleOpen Source, formerly Basho TechnologiesSphinx Technologies Inc.The Linux Foundation, PlanetScale
Initial release2014201520012013
Current release2.1.12, February 20173.0.0, September 20223.5.1, February 202315.0.2, December 2022
License infoCommercial or Open SourceOpen Source infoApache 2.0Open SourceOpen Source infoGPL version 2, commercial licence availableOpen 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 languageJavaScriptErlangC++Go
Server operating systemsserver-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, SafariLinux
OS X
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Docker
Linux
macOS
Data schemeyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesnonoyes
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.nono
Secondary indexesyesrestrictedyes infofull-text index on all search fieldsyes
SQL infoSupport of SQLSQL-like query language infovia JavaScript builder patternyes, limitedSQL-like query language (SphinxQL)yes infowith proprietary extensions
APIs and other access methodsHTTP API
Native Erlang Interface
Proprietary protocolADO.NET
JDBC
MySQL protocol
ODBC
Supported programming languagesJavaScriptC 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++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
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 proceduresnoErlangnoyes infoproprietary syntax
TriggersUsing read-only observersyes infopre-commit hooks and post-commit hooksnoyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingSharding infoPartitioning is done manually, search queries against distributed index is supportedSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneselectable replication factornoneMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual Consistency across shards
Immediate Consistency within a shard
Foreign keys infoReferential integrityyesno infolinks between datasets can be storednoyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoACID at shard level
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infotable locks or row locks depending on storage engine
Durability infoSupport for making data persistentyes, by using IndexedDB or the cloud service Firebase Realtime Databaseyesyes infoThe original contents of fields are not stored in the Sphinx index.yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infousing MemoryDByes
User concepts infoAccess controlnononoUsers with fine-grained authorization concept infono user groups or roles

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More resources
LovefieldRiak TSSphinxVitess
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