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DBMS > Quasardb vs. Sphinx vs. TerarkDB vs. VoltDB

System Properties Comparison Quasardb vs. Sphinx vs. TerarkDB vs. VoltDB

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Editorial information provided by DB-Engines
NameQuasardb  Xexclude from comparisonSphinx  Xexclude from comparisonTerarkDB  Xexclude from comparisonVoltDB  Xexclude from comparison
DescriptionDistributed, high-performance timeseries databaseOpen source search engine for searching in data from different sources, e.g. relational databasesA key-value store forked from RocksDB with advanced compression algorithms. It can be used standalone or as a storage engine for MySQL and MongoDBDistributed In-Memory NewSQL RDBMS infoUsed for OLTP applications with a high frequency of relatively simple transactions, that can hold all their data in memory
Primary database modelTime Series DBMSSearch engineKey-value storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.14
Rank#332  Overall
#29  Time Series DBMS
Score5.98
Rank#56  Overall
#5  Search engines
Score0.00
Rank#383  Overall
#60  Key-value stores
Score1.44
Rank#158  Overall
#73  Relational DBMS
Websitequasar.aisphinxsearch.comgithub.com/­bytedance/­terarkdbwww.voltdb.com
Technical documentationdoc.quasar.ai/­mastersphinxsearch.com/­docsbytedance.larkoffice.com/­docs/­doccnZmYFqHBm06BbvYgjsHHcKcdocs.voltdb.com
DeveloperquasardbSphinx Technologies Inc.ByteDance, originally TerarkVoltDB Inc.
Initial release2009200120162010
Current release3.14.1, January 20243.5.1, February 202311.3, April 2022
License infoCommercial or Open Sourcecommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensesOpen Source infoGPL version 2, commercial licence availablecommercial inforestricted open source version availableOpen Source infoAGPL for Community Edition, commercial license for Enterprise, AWS, and Pro Editions
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C++C++Java, C++
Server operating systemsBSD
Linux
OS X
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Linux
OS X infofor development
Data schemeschema-freeyesschema-freeyes
Typing infopredefined data types such as float or dateyes infointeger and binarynonoyes
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 indexesyes infowith tagsyes infofull-text index on all search fieldsnoyes
SQL infoSupport of SQLSQL-like query languageSQL-like query language (SphinxQL)noyes infoonly a subset of SQL 99
APIs and other access methodsHTTP APIProprietary protocolC++ API
Java API
Java API
JDBC
RESTful HTTP/JSON API
Supported programming languages.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
C++
Java
C#
C++
Erlang infonot officially supported
Go
Java
JavaScript infoNode.js
PHP
Python
Server-side scripts infoStored proceduresnononoJava
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesSharding infoconsistent hashingSharding infoPartitioning is done manually, search queries against distributed index is supportednoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication with selectable replication factornonenoneMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodswith Hadoop integrationnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integritynononono infoFOREIGN KEY constraints are not supported
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoACID infoTransactions are executed single-threaded within stored procedures
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infoData access is serialized by the server
Durability infoSupport for making data persistentyes infoby using LevelDByes infoThe original contents of fields are not stored in the Sphinx index.yesyes infoSnapshots and command logging
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoTransient modeyes
User concepts infoAccess controlCryptographically strong user authentication and audit trailnonoUsers and roles with access to stored procedures

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QuasardbSphinxTerarkDBVoltDB
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