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DBMS > Manticore Search vs. PostgreSQL vs. SurrealDB

System Properties Comparison Manticore Search vs. PostgreSQL vs. SurrealDB

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Editorial information provided by DB-Engines
NameManticore Search  Xexclude from comparisonPostgreSQL  Xexclude from comparisonSurrealDB  Xexclude from comparison
DescriptionMulti-storage database for search, including full-text search.Widely used open source RDBMS infoDeveloped as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQLA fully ACID transactional, developer-friendly, multi-model DBMS
Primary database modelSearch engineRelational DBMS infowith object oriented extensions, e.g.: user defined types/functions and inheritance. Handling of key/value pairs with hstore module.Document store
Graph DBMS
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
Score0.28
Rank#283  Overall
#21  Search engines
Score674.32
Rank#4  Overall
#4  Relational DBMS
Score1.08
Rank#176  Overall
#30  Document stores
#16  Graph DBMS
Websitemanticoresearch.comwww.postgresql.orgsurrealdb.com
Technical documentationmanual.manticoresearch.comwww.postgresql.org/­docssurrealdb.com/­docs
DeveloperManticore SoftwarePostgreSQL Global Development Group infowww.postgresql.org/­developerSurrealDB Ltd
Initial release20171989 info1989: Postgres, 1996: PostgreSQL2022
Current release6.0, February 202316.4, August 2024v1.5.0, May 2024
License infoCommercial or Open SourceOpen Source infoGPL version 2Open Source infoBSDOpen Source
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
PostgreSQL Flex @ STACKIT offers managed PostgreSQL Instances with adjustable CPU, RAM, storage amount and speed and several extensions available, in enterprise grade to perfectly match all application requirements. All 100% GDPR-compliant.
Implementation languageC++CRust
Server operating systemsFreeBSD
Linux
macOS
Windows
FreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows
Linux
macOS
Windows
Data schemeFixed schemayesschema-free
Typing infopredefined data types such as float or dateInt, Bigint, Float, Timestamp, Bit, Int array, Bigint array, JSON, Booleanyesyes
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 XMLyes infospecific XML-type available, but no XML query functionality.
Secondary indexesyes infofull-text index on all search fieldsyes
SQL infoSupport of SQLSQL-like query languageyes infostandard with numerous extensionsSQL-like query language
APIs and other access methodsBinary API
RESTful HTTP/JSON API
RESTful HTTP/SQL API
SQL over MySQL
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
GraphQL
RESTful HTTP API
WebSocket
Supported programming languagesElixir
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
.Net
C
C++
Delphi
Java infoJDBC
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Deno
Go
JavaScript (Node.js)
Rust
Server-side scripts infoStored proceduresuser defined functionsuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.
Triggersnoyes
Partitioning methods infoMethods for storing different data on different nodesSharding 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 nodesSynchronous 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 integritynoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infoisolated transactions for atomic changes and binary logging for safe writesACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyes 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.no
User concepts infoAccess controlnofine grained access rights according to SQL-standardyes, based on authentication and database rules

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More resources
Manticore SearchPostgreSQLSurrealDB
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