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DBMS > Apache Pinot vs. LokiJS vs. Manticore Search vs. Oracle Berkeley DB

System Properties Comparison Apache Pinot vs. LokiJS vs. Manticore Search vs. Oracle Berkeley DB

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Editorial information provided by DB-Engines
NameApache Pinot  Xexclude from comparisonLokiJS  Xexclude from comparisonManticore Search  Xexclude from comparisonOracle Berkeley DB  Xexclude from comparison
DescriptionRealtime distributed OLAP datastore, designed to answer OLAP queries with low latencyIn-memory JavaScript DBMSMulti-storage database for search, including full-text search.Widely used in-process key-value store
Primary database modelRelational DBMSDocument storeSearch engineKey-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
Secondary database modelsTime Series DBMS infousing the Manticore Columnar Library
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.38
Rank#275  Overall
#126  Relational DBMS
Score0.49
Rank#260  Overall
#42  Document stores
Score0.29
Rank#302  Overall
#21  Search engines
Score2.01
Rank#126  Overall
#21  Key-value stores
#3  Native XML DBMS
Websitepinot.apache.orggithub.com/­techfort/­LokiJSmanticoresearch.comwww.oracle.com/­database/­technologies/­related/­berkeleydb.html
Technical documentationdocs.pinot.apache.orgtechfort.github.io/­LokiJSmanual.manticoresearch.comdocs.oracle.com/­cd/­E17076_05/­html/­index.html
DeveloperApache Software Foundation and contributorsManticore SoftwareOracle infooriginally developed by Sleepycat, which was acquired by Oracle
Initial release2015201420171994
Current release1.0.0, September 20236.0, February 202318.1.40, May 2020
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open SourceOpen Source infoGPL version 2Open Source infocommercial license available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaScriptC++C, Java, C++ (depending on the Berkeley DB edition)
Server operating systemsAll OS with a Java JDK11 or higherserver-less, requires a JavaScript environment (browser, Node.js)FreeBSD
Linux
macOS
Windows
AIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
Data schemeyesschema-freeFixed schemaschema-free
Typing infopredefined data types such as float or dateyesnoInt, Bigint, Float, Timestamp, Bit, Int array, Bigint array, JSON, Booleanno
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 XMLyes infoonly with the Berkeley DB XML edition
Secondary indexesyes infovia viewsyes infofull-text index on all search fieldsyes
SQL infoSupport of SQLSQL-like query languagenoSQL-like query languageyes infoSQL interfaced based on SQLite is available
APIs and other access methodsJDBCJavaScript APIBinary API
RESTful HTTP/JSON API
RESTful HTTP/SQL API
SQL over MySQL
Supported programming languagesGo
Java
Python
JavaScriptElixir
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
.Net infoFigaro is a .Net framework assembly that extends Berkeley DB XML into an embeddable database engine for .NET
others infoThird-party libraries to manipulate Berkeley DB files are available for many languages
C
C#
C++
Java
JavaScript (Node.js) info3rd party binding
Perl
Python
Tcl
Server-side scripts infoStored proceduresView functions in JavaScriptuser defined functionsno
Triggersyesnoyes infoonly for the SQL API
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningnoneSharding infoPartitioning is done manually, search queries against distributed index is supportednone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSynchronous replication based on Galera librarySource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemnone
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoatomic operations within a single collection possibleyes infoisolated transactions for atomic changes and binary logging for safe writesACID
Concurrency infoSupport for concurrent manipulation of datayes
Durability infoSupport for making data persistentyes infoSerialization of a DB in a Node.JS/Cordova/PhoneGap environment. Usage of the IndexedDB-API in a browser.yes infoThe original contents of fields are not stored in the Manticore index.yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlnonono

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More resources
Apache PinotLokiJSManticore SearchOracle Berkeley DB
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