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DBMS > Sphinx vs. StarRocks vs. Teradata

System Properties Comparison Sphinx vs. StarRocks vs. Teradata

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Editorial information provided by DB-Engines
NameSphinx  Xexclude from comparisonStarRocks  Xexclude from comparisonTeradata  Xexclude from comparison
DescriptionOpen source search engine for searching in data from different sources, e.g. relational databasesAn open source, high-performance columnar analytical database that enables real-time, multi-dimensional, and highly concurrent data analytics infoForked from Apache DorisA hybrid cloud data analytics software platform (Teradata Vantage)
Primary database modelSearch engineRelational DBMSRelational DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score5.98
Rank#56  Overall
#5  Search engines
Score1.04
Rank#189  Overall
#88  Relational DBMS
Score45.33
Rank#21  Overall
#15  Relational DBMS
Websitesphinxsearch.comwww.starrocks.iowww.teradata.com
Technical documentationsphinxsearch.com/­docsdocs.starrocks.io/­en-us/­latest/­introduction/­StarRocks_introdocs.teradata.com
DeveloperSphinx Technologies Inc.The Linux Foundation infosince Feb 2023Teradata
Initial release200120201984
Current release3.5.1, February 20232.5.3, March 2023Teradata Vantage 1.0 MU2, January 2019
License infoCommercial or Open SourceOpen Source infoGPL version 2, commercial licence availableOpen Source infoApache Version 2.0commercial
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C++, Java
Server operating systemsFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Linuxhosted
Linux
Data schemeyesyesyes
Typing infopredefined data types such as float or datenoyesyes
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.noyes
Secondary indexesyes infofull-text index on all search fieldsyesyes infoJoin-index to prejoin tables, aggregate index, sparse index, hash index
SQL infoSupport of SQLSQL-like query language (SphinxQL)yesyes infoSQL 2016 + extensions
APIs and other access methodsProprietary protocolJDBC
MySQL protocol
.NET Client API
HTTP REST
JDBC
JMS Adapter
ODBC
OLE DB
Supported programming languagesC++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
JavaC
C++
Cobol
Java (JDBC-ODBC)
Perl
PL/1
Python
R
Ruby
Server-side scripts infoStored proceduresnouser defined functionsyes infoUDFs, stored procedures, table functions in parallel
Triggersnonoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infoPartitioning is done manually, search queries against distributed index is supportedhorizontal partitioning (by range and hash)Sharding infoHashing
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyes infoThe original contents of fields are not stored in the Sphinx index.yesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlnoRole based access control and fine grained access rightsfine grained access rights according to SQL-standard

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SphinxStarRocksTeradata
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