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DBMS > Drizzle vs. Manticore Search vs. Pinecone vs. PouchDB

System Properties Comparison Drizzle vs. Manticore Search vs. Pinecone vs. PouchDB

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Editorial information provided by DB-Engines
NameDrizzle  Xexclude from comparisonManticore Search  Xexclude from comparisonPinecone  Xexclude from comparisonPouchDB  Xexclude from comparison
Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.
DescriptionMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.Multi-storage database for search, including full-text search.A managed, cloud-native vector databaseJavaScript DBMS with an API inspired by CouchDB
Primary database modelRelational DBMSSearch engineVector DBMSDocument store
Secondary database modelsTime Series DBMS infousing the Manticore Columnar Library
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.29
Rank#302  Overall
#21  Search engines
Score3.23
Rank#92  Overall
#3  Vector DBMS
Score2.34
Rank#112  Overall
#21  Document stores
Websitemanticoresearch.comwww.pinecone.iopouchdb.com
Technical documentationmanual.manticoresearch.comdocs.pinecone.io/­docs/­overviewpouchdb.com/­guides
DeveloperDrizzle project, originally started by Brian AkerManticore SoftwarePinecone Systems, IncApache Software Foundation
Initial release2008201720192012
Current release7.2.4, September 20126.0, February 20237.1.1, June 2019
License infoCommercial or Open SourceOpen Source infoGNU GPLOpen Source infoGPL version 2commercialOpen Source
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C++JavaScript
Server operating systemsFreeBSD
Linux
OS X
FreeBSD
Linux
macOS
Windows
hostedserver-less, requires a JavaScript environment (browser, Node.js)
Data schemeyesFixed schemaschema-free
Typing infopredefined data types such as float or dateyesInt, Bigint, Float, Timestamp, Bit, Int array, Bigint array, JSON, BooleanString, Number, 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.Can index from XMLnono
Secondary indexesyesyes infofull-text index on all search fieldsyes infovia views
SQL infoSupport of SQLyes infowith proprietary extensionsSQL-like query languagenono
APIs and other access methodsJDBCBinary API
RESTful HTTP/JSON API
RESTful HTTP/SQL API
SQL over MySQL
RESTful HTTP APIHTTP REST infoonly for PouchDB Server
JavaScript API
Supported programming languagesC
C++
Java
PHP
Elixir
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
PythonJavaScript
Server-side scripts infoStored proceduresnouser defined functionsView functions in JavaScript
Triggersno infohooks for callbacks inside the server can be used.noyes
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-lounge
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Synchronous replication based on Galera libraryMulti-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Foreign keys infoReferential integrityyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyes infoisolated transactions for atomic changes and binary logging for safe writesno
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.yesyes infoby using IndexedDB, WebSQL or LevelDB as backend
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlPluggable authentication mechanisms infoe.g. LDAP, HTTPnono

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More resources
DrizzleManticore SearchPineconePouchDB
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