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DBMS > Apache Spark (SQL) vs. Interbase vs. Manticore Search

System Properties Comparison Apache Spark (SQL) vs. Interbase vs. Manticore Search

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Editorial information provided by DB-Engines
NameApache Spark (SQL)  Xexclude from comparisonInterbase  Xexclude from comparisonManticore Search  Xexclude from comparison
DescriptionApache Spark SQL is a component on top of 'Spark Core' for structured data processingLight-weight proven RDBMS infooriginally from BorlandMulti-storage database for search, including full-text search.
Primary database modelRelational DBMSRelational DBMSSearch engine
Secondary database modelsTime Series DBMS infousing the Manticore Columnar Library
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score16.73
Rank#35  Overall
#20  Relational DBMS
Score3.72
Rank#76  Overall
#40  Relational DBMS
Score0.22
Rank#304  Overall
#21  Search engines
Websitespark.apache.org/­sqlwww.embarcadero.com/­products/­interbasemanticoresearch.com
Technical documentationspark.apache.org/­docs/­latest/­sql-programming-guide.htmldocs.embarcadero.com/­products/­interbasemanual.manticoresearch.com
DeveloperApache Software FoundationEmbarcaderoManticore Software
Initial release201419842017
Current release3.5.0 ( 2.13), September 2023InterBase 2020, December 20196.0, February 2023
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialOpen Source infoGPL version 2
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageScalaCC++
Server operating systemsLinux
OS X
Windows
Android
iOS
Linux
OS X
Windows
FreeBSD
Linux
macOS
Windows
Data schemeyesyesFixed schema
Typing infopredefined data types such as float or dateyesyesInt, Bigint, Float, Timestamp, Bit, Int array, Bigint array, JSON, Boolean
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 infoexport as XML data possibleCan index from XML
Secondary indexesnoyesyes infofull-text index on all search fields
SQL infoSupport of SQLSQL-like DML and DDL statementsyesSQL-like query language
APIs and other access methodsJDBC
ODBC
ADO.NET
JDBC
ODBC
Binary API
RESTful HTTP/JSON API
RESTful HTTP/SQL API
SQL over MySQL
Supported programming languagesJava
Python
R
Scala
.Net
C
C++
Delphi
Java
Object Pascal
PHP
Ruby
Elixir
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Server-side scripts infoStored proceduresnoyes infoInterbase procedure and trigger languageuser defined functions
Triggersnoyesno
Partitioning methods infoMethods for storing different data on different nodesyes, utilizing Spark CorenoneSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesnoneInterbase Change ViewsSynchronous replication based on Galera library
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDyes infoisolated transactions for atomic changes and binary logging for safe writes
Concurrency infoSupport for concurrent manipulation of datayesyes infoMultiversion concurreny controlyes
Durability infoSupport for making data persistentyesyesyes infoThe original contents of fields are not stored in the Manticore index.
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlnofine grained access rights according to SQL-standardno

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More resources
Apache Spark (SQL)InterbaseManticore Search
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