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DBMS > EXASOL vs. Manticore Search vs. PouchDB vs. Spark SQL vs. STSdb

System Properties Comparison EXASOL vs. Manticore Search vs. PouchDB vs. Spark SQL vs. STSdb

Editorial information provided by DB-Engines
NameEXASOL  Xexclude from comparisonManticore Search  Xexclude from comparisonPouchDB  Xexclude from comparisonSpark SQL  Xexclude from comparisonSTSdb  Xexclude from comparison
DescriptionHigh-performance, in-memory, MPP database specifically designed for in-memory analytics.Multi-storage database for search, including full-text search.JavaScript DBMS with an API inspired by CouchDBSpark SQL is a component on top of 'Spark Core' for structured data processingKey-Value Store with special method for indexing infooptimized for high performance using a special indexing method
Primary database modelRelational DBMSSearch engineDocument storeRelational DBMSKey-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
Score1.76
Rank#139  Overall
#62  Relational DBMS
Score0.29
Rank#302  Overall
#21  Search engines
Score2.34
Rank#112  Overall
#21  Document stores
Score18.04
Rank#33  Overall
#20  Relational DBMS
Score0.10
Rank#357  Overall
#51  Key-value stores
Websitewww.exasol.commanticoresearch.compouchdb.comspark.apache.org/­sqlgithub.com/­STSSoft/­STSdb4
Technical documentationwww.exasol.com/­resourcesmanual.manticoresearch.compouchdb.com/­guidesspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperExasolManticore SoftwareApache Software FoundationApache Software FoundationSTS Soft SC
Initial release20002017201220142011
Current release6.0, February 20237.1.1, June 20193.5.0 ( 2.13), September 20234.0.8, September 2015
License infoCommercial or Open SourcecommercialOpen Source infoGPL version 2Open SourceOpen Source infoApache 2.0Open Source infoGPLv2, commercial license available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++JavaScriptScalaC#
Server operating systemsFreeBSD
Linux
macOS
Windows
server-less, requires a JavaScript environment (browser, Node.js)Linux
OS X
Windows
Windows
Data schemeyesFixed schemaschema-freeyesyes
Typing infopredefined data types such as float or dateyesInt, Bigint, Float, Timestamp, Bit, Int array, Bigint array, JSON, Booleannoyesyes infoprimitive types and user defined types (classes)
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 XMLnono
Secondary indexesyesyes infofull-text index on all search fieldsyes infovia viewsnono
SQL infoSupport of SQLyesSQL-like query languagenoSQL-like DML and DDL statementsno
APIs and other access methods.Net
JDBC
ODBC
WebSocket
Binary API
RESTful HTTP/JSON API
RESTful HTTP/SQL API
SQL over MySQL
HTTP REST infoonly for PouchDB Server
JavaScript API
JDBC
ODBC
.NET Client API
Supported programming languagesJava
Lua
Python
R
Elixir
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
JavaScriptJava
Python
R
Scala
C#
Java
Server-side scripts infoStored proceduresuser defined functionsuser defined functionsView functions in JavaScriptnono
Triggersyesnoyesnono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoPartitioning is done manually, search queries against distributed index is supportedSharding infowith a proxy-based framework, named couchdb-loungeyes, utilizing Spark Corenone
Replication methods infoMethods for redundantly storing data on multiple nodesSynchronous replication based on Galera libraryMulti-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
nonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoHadoop integrationnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyesnononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyes infoisolated transactions for atomic changes and binary logging for safe writesnonono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infoThe original contents of fields are not stored in the Manticore index.yes infoby using IndexedDB, WebSQL or LevelDB as backendyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesno
User concepts infoAccess controlAccess rights for users, groups and roles according to SQL-standardnononono

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More resources
EXASOLManticore SearchPouchDBSpark SQLSTSdb
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