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DBMS > Apache Kylin vs. Manticore Search vs. Oracle vs. SQL.JS

System Properties Comparison Apache Kylin vs. Manticore Search vs. Oracle vs. SQL.JS

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Editorial information provided by DB-Engines
NameApache Kylin  Xexclude from comparisonManticore Search  Xexclude from comparisonOracle  Xexclude from comparisonSQL.JS  Xexclude from comparison
DescriptionA distributed analytics engine for big data, providing a SQL interface and multi-dimensional analysis (OLAP) and leveraging the Hadoop stackMulti-storage database for search, including full-text search.Widely used RDBMSPort of SQLite to JavaScript
Primary database modelRelational DBMSSearch engineRelational DBMSRelational DBMS
Secondary database modelsTime Series DBMS infousing the Manticore Columnar LibraryDocument store
Graph DBMS infowith Oracle Spatial and Graph
RDF store infowith Oracle Spatial and Graph
Spatial DBMS infowith Oracle Spatial and Graph
Vector DBMS infosince Oracle 23
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.18
Rank#172  Overall
#79  Relational DBMS
Score0.22
Rank#312  Overall
#21  Search engines
Score1236.29
Rank#1  Overall
#1  Relational DBMS
Score0.53
Rank#252  Overall
#116  Relational DBMS
Websitekylin.apache.orgmanticoresearch.comwww.oracle.com/­databasesql.js.org
Technical documentationkylin.apache.org/­docsmanual.manticoresearch.comdocs.oracle.com/­en/­databasesql.js.org/­documentation/­index.html
DeveloperApache Software Foundation, originally contributed from eBay IncManticore SoftwareOracleAlon Zakai infoenhancements implemented by others
Initial release2015201719802012
Current release3.1.0, July 20206.0, February 202323c, September 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoGPL version 2commercial inforestricted free version is availableOpen Source
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++C and C++JavaScript
Server operating systemsLinuxFreeBSD
Linux
macOS
Windows
AIX
HP-UX
Linux
OS X
Solaris
Windows
z/OS
server-less, requires a JavaScript environment (browser, Node.js)
Data schemeyesFixed schemayes infoSchemaless in JSON and XML columnsyes
Typing infopredefined data types such as float or dateyesInt, Bigint, Float, Timestamp, Bit, Int array, Bigint array, JSON, Booleanyesyes
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.noCan index from XMLyesno
Secondary indexesyesyes infofull-text index on all search fieldsyes
SQL infoSupport of SQLANSI SQL for queries (using Apache Calcite)SQL-like query languageyes infowith proprietary extensionsyes infoSQL-92 is not fully supported
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
Binary API
RESTful HTTP/JSON API
RESTful HTTP/SQL API
SQL over MySQL
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
JavaScript API
Supported programming languagesElixir
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
C
C#
C++
Clojure
Cobol
Delphi
Eiffel
Erlang
Fortran
Groovy
Haskell
Java
JavaScript
Lisp
Objective C
OCaml
Perl
PHP
Python
R
Ruby
Scala
Tcl
Visual Basic
JavaScript
Server-side scripts infoStored proceduresuser defined functionsPL/SQL infoalso stored procedures in Java possibleno
Triggersnoyesno
Partitioning methods infoMethods for storing different data on different nodesSharding infoPartitioning is done manually, search queries against distributed index is supportedSharding, horizontal partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesSynchronous replication based on Galera libraryMulti-source replication
Source-replica replication
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnono infocan be realized in PL/SQLno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistencynone
Foreign keys infoReferential integritynoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infoisolated transactions for atomic changes and binary logging for safe writesACID infoisolation level can be parameterizedACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyes infoThe original contents of fields are not stored in the Manticore index.yesno infoexcept by serializing a db to a file
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infoVersion 12c introduced the new option 'Oracle Database In-Memory'yes
User concepts infoAccess controlnofine grained access rights according to SQL-standardno

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