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DBMS > FeatureBase vs. Manticore Search vs. Pinecone vs. PostgreSQL

System Properties Comparison FeatureBase vs. Manticore Search vs. Pinecone vs. PostgreSQL

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Editorial information provided by DB-Engines
NameFeatureBase  Xexclude from comparisonManticore Search  Xexclude from comparisonPinecone  Xexclude from comparisonPostgreSQL  Xexclude from comparison
DescriptionReal-time database platform that powers real-time analytics and machine learning applications by simultaneously executing low-latency, high-throughput, and highly concurrent workloads.Multi-storage database for search, including full-text search.A managed, cloud-native vector databaseWidely used open source RDBMS infoDeveloped as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQL
Primary database modelRelational DBMSSearch engineVector DBMSRelational DBMS infowith object oriented extensions, e.g.: user defined types/functions and inheritance. Handling of key/value pairs with hstore module.
Secondary database modelsTime Series DBMS infousing the Manticore Columnar LibraryDocument store
Graph DBMS infowith Apache Age
Spatial DBMS
Vector DBMS infowith pgvector extension
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.31
Rank#292  Overall
#135  Relational DBMS
Score0.29
Rank#302  Overall
#21  Search engines
Score3.23
Rank#92  Overall
#3  Vector DBMS
Score636.25
Rank#4  Overall
#4  Relational DBMS
Websitewww.featurebase.commanticoresearch.comwww.pinecone.iowww.postgresql.org
Technical documentationdocs.featurebase.commanual.manticoresearch.comdocs.pinecone.io/­docs/­overviewwww.postgresql.org/­docs
DeveloperMolecula and Pilosa Open Source ContributorsManticore SoftwarePinecone Systems, IncPostgreSQL Global Development Group infowww.postgresql.org/­developer
Initial release2017201720191989 info1989: Postgres, 1996: PostgreSQL
Current release2022, May 20226.0, February 202316.3, May 2024
License infoCommercial or Open SourcecommercialOpen Source infoGPL version 2commercialOpen Source infoBSD
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoC++C
Server operating systemsLinux
macOS
FreeBSD
Linux
macOS
Windows
hostedFreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows
Data schemeyesFixed schemayes
Typing infopredefined data types such as float or dateyesInt, Bigint, Float, Timestamp, Bit, Int array, Bigint array, JSON, BooleanString, Number, Booleanyes
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 XMLnoyes infospecific XML-type available, but no XML query functionality.
Secondary indexesnoyes infofull-text index on all search fieldsyes
SQL infoSupport of SQLSQL queriesSQL-like query languagenoyes infostandard with numerous extensions
APIs and other access methodsgRPC
JDBC
Kafka Connector
ODBC
Binary API
RESTful HTTP/JSON API
RESTful HTTP/SQL API
SQL over MySQL
RESTful HTTP APIADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesJava
Python
Elixir
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Python.Net
C
C++
Delphi
Java infoJDBC
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Server-side scripts infoStored proceduresuser defined functionsuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.
Triggersnonoyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoPartitioning is done manually, search queries against distributed index is supportedpartitioning by range, list and (since PostgreSQL 11) by hash
Replication methods infoMethods for redundantly storing data on multiple nodesyesSynchronous replication based on Galera librarySource-replica replication infoother methods possible by using 3rd party extensions
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integrityyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesyes infoisolated transactions for atomic changes and binary logging for safe writesACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes, using Linux fsyncyes infoThe original contents of fields are not stored in the Manticore index.yesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnono
User concepts infoAccess controlnofine grained access rights according to SQL-standard

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