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DBMS > Google BigQuery vs. Manticore Search vs. PostgreSQL vs. PouchDB vs. SAP HANA

System Properties Comparison Google BigQuery vs. Manticore Search vs. PostgreSQL vs. PouchDB vs. SAP HANA

Editorial information provided by DB-Engines
NameGoogle BigQuery  Xexclude from comparisonManticore Search  Xexclude from comparisonPostgreSQL  Xexclude from comparisonPouchDB  Xexclude from comparisonSAP HANA  Xexclude from comparison
DescriptionLarge scale data warehouse service with append-only tablesMulti-storage database for search, including full-text search.Widely used open source RDBMS infoDeveloped as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQLJavaScript DBMS with an API inspired by CouchDBIn-memory, column based data store. Available as appliance or cloud service
Primary database modelRelational DBMSSearch engineRelational DBMS infowith object oriented extensions, e.g.: user defined types/functions and inheritance. Handling of key/value pairs with hstore module.Document storeRelational DBMS
Secondary database modelsTime Series DBMS infousing the Manticore Columnar LibraryDocument store
Graph DBMS infowith Apache Age
Spatial DBMS
Vector DBMS infowith pgvector extension
Document store
Graph DBMS infowith SAP Hana, Enterprise Edition
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score60.38
Rank#19  Overall
#13  Relational DBMS
Score0.22
Rank#312  Overall
#21  Search engines
Score645.54
Rank#4  Overall
#4  Relational DBMS
Score2.28
Rank#115  Overall
#21  Document stores
Score44.69
Rank#22  Overall
#16  Relational DBMS
Websitecloud.google.com/­bigquerymanticoresearch.comwww.postgresql.orgpouchdb.comwww.sap.com/­products/­hana.html
Technical documentationcloud.google.com/­bigquery/­docsmanual.manticoresearch.comwww.postgresql.org/­docspouchdb.com/­guideshelp.sap.com/­hana
DeveloperGoogleManticore SoftwarePostgreSQL Global Development Group infowww.postgresql.org/­developerApache Software FoundationSAP
Initial release201020171989 info1989: Postgres, 1996: PostgreSQL20122010
Current release6.0, February 202316.3, May 20247.1.1, June 20192.0 SPS07 (April 4, 2023), April 2023
License infoCommercial or Open SourcecommercialOpen Source infoGPL version 2Open Source infoBSDOpen Sourcecommercial
Cloud-based only infoOnly available as a cloud serviceyesnononono infoalso available as a cloud based service
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++CJavaScript
Server operating systemshostedFreeBSD
Linux
macOS
Windows
FreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows
server-less, requires a JavaScript environment (browser, Node.js)Appliance or cloud-service
Data schemeyesFixed schemayesschema-freeyes
Typing infopredefined data types such as float or dateyesInt, Bigint, Float, Timestamp, Bit, Int array, Bigint array, JSON, Booleanyesnoyes
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 infospecific XML-type available, but no XML query functionality.nono
Secondary indexesnoyes infofull-text index on all search fieldsyesyes infovia viewsyes
SQL infoSupport of SQLyesSQL-like query languageyes infostandard with numerous extensionsnoyes
APIs and other access methodsRESTful HTTP/JSON APIBinary API
RESTful HTTP/JSON API
RESTful HTTP/SQL API
SQL over MySQL
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
HTTP REST infoonly for PouchDB Server
JavaScript API
JDBC
ODBC
Supported programming languages.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
Elixir
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
.Net
C
C++
Delphi
Java infoJDBC
JavaScript (Node.js)
Perl
PHP
Python
Tcl
JavaScript
Server-side scripts infoStored proceduresuser defined functions infoin JavaScriptuser defined functionsuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.View functions in JavaScriptSQLScript, R
Triggersnonoyesyesyes
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infoPartitioning is done manually, search queries against distributed index is supportedpartitioning by range, list and (since PostgreSQL 11) by hashSharding infowith a proxy-based framework, named couchdb-loungeyes
Replication methods infoMethods for redundantly storing data on multiple nodesSynchronous replication based on Galera librarySource-replica replication infoother methods possible by using 3rd party extensionsMulti-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoSince BigQuery is designed for querying datayes infoisolated transactions for atomic changes and binary logging for safe writesACIDnoACID
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.yesyes infoby using IndexedDB, WebSQL or LevelDB as backendyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesyes
User concepts infoAccess controlAccess privileges (owner, writer, reader) on dataset, table or view level infoGoogle Cloud Identity & Access Management (IAM)nofine grained access rights according to SQL-standardnoyes

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Google BigQueryManticore SearchPostgreSQLPouchDBSAP HANA
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