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DBMS > Manticore Search vs. Sadas Engine vs. Spark SQL vs. Sphinx vs. Tkrzw

System Properties Comparison Manticore Search vs. Sadas Engine vs. Spark SQL vs. Sphinx vs. Tkrzw

Editorial information provided by DB-Engines
NameManticore Search  Xexclude from comparisonSadas Engine  Xexclude from comparisonSpark SQL  Xexclude from comparisonSphinx  Xexclude from comparisonTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet  Xexclude from comparison
DescriptionMulti-storage database for search, including full-text search.SADAS Engine is a columnar DBMS specifically designed for high performance in data warehouse environmentsSpark SQL is a component on top of 'Spark Core' for structured data processingOpen source search engine for searching in data from different sources, e.g. relational databasesA concept of libraries, allowing an application program to store and query key-value pairs in a file. Successor of Tokyo Cabinet and Kyoto Cabinet
Primary database modelSearch engineRelational DBMSRelational DBMSSearch engineKey-value store
Secondary database modelsTime Series DBMS infousing the Manticore Columnar Library
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.22
Rank#312  Overall
#21  Search engines
Score0.00
Rank#383  Overall
#158  Relational DBMS
Score18.96
Rank#33  Overall
#20  Relational DBMS
Score5.98
Rank#56  Overall
#5  Search engines
Score0.00
Rank#383  Overall
#60  Key-value stores
Websitemanticoresearch.comwww.sadasengine.comspark.apache.org/­sqlsphinxsearch.comdbmx.net/­tkrzw
Technical documentationmanual.manticoresearch.comwww.sadasengine.com/­en/­sadas-engine-download-free-trial-and-documentation/­#documentationspark.apache.org/­docs/­latest/­sql-programming-guide.htmlsphinxsearch.com/­docs
DeveloperManticore SoftwareSADAS s.r.l.Apache Software FoundationSphinx Technologies Inc.Mikio Hirabayashi
Initial release20172006201420012020
Current release6.0, February 20238.03.5.0 ( 2.13), September 20233.5.1, February 20230.9.3, August 2020
License infoCommercial or Open SourceOpen Source infoGPL version 2commercial infofree trial version availableOpen Source infoApache 2.0Open Source infoGPL version 2, commercial licence availableOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C++ScalaC++C++
Server operating systemsFreeBSD
Linux
macOS
Windows
AIX
Linux
Windows
Linux
OS X
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Linux
macOS
Data schemeFixed schemayesyesyesschema-free
Typing infopredefined data types such as float or dateInt, Bigint, Float, Timestamp, Bit, Int array, Bigint array, JSON, Booleanyesyesnono
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.Can index from XMLnonono
Secondary indexesyes infofull-text index on all search fieldsyesnoyes infofull-text index on all search fields
SQL infoSupport of SQLSQL-like query languageyesSQL-like DML and DDL statementsSQL-like query language (SphinxQL)no
APIs and other access methodsBinary API
RESTful HTTP/JSON API
RESTful HTTP/SQL API
SQL over MySQL
JDBC
ODBC
Proprietary protocol
JDBC
ODBC
Proprietary protocol
Supported programming languagesElixir
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
.Net
C
C#
C++
Groovy
Java
PHP
Python
Java
Python
R
Scala
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
C++
Java
Python
Ruby
Server-side scripts infoStored proceduresuser defined functionsnononono
Triggersnonononono
Partitioning methods infoMethods for storing different data on different nodesSharding infoPartitioning is done manually, search queries against distributed index is supportedhorizontal partitioningyes, utilizing Spark CoreSharding infoPartitioning is done manually, search queries against distributed index is supportednone
Replication methods infoMethods for redundantly storing data on multiple nodesSynchronous replication based on Galera librarynonenonenonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infoisolated transactions for atomic changes and binary logging for safe writesnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyes infoThe original contents of fields are not stored in the Manticore index.yesyesyes 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 infomanaged by 'Learn by Usage'noyes infousing specific database classes
User concepts infoAccess controlnoAccess rights for users, groups and roles according to SQL-standardnonono

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More resources
Manticore SearchSadas EngineSpark SQLSphinxTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet
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