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DBMS > Google BigQuery vs. NCache vs. PostgreSQL vs. RocksDB

System Properties Comparison Google BigQuery vs. NCache vs. PostgreSQL vs. RocksDB

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Editorial information provided by DB-Engines
NameGoogle BigQuery  Xexclude from comparisonNCache  Xexclude from comparisonPostgreSQL  Xexclude from comparisonRocksDB  Xexclude from comparison
DescriptionLarge scale data warehouse service with append-only tablesOpen-Source and Enterprise in-memory Key-Value StoreWidely used open source RDBMS infoDeveloped as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQLEmbeddable persistent key-value store optimized for fast storage (flash and RAM)
Primary database modelRelational DBMSKey-value storeRelational DBMS infowith object oriented extensions, e.g.: user defined types/functions and inheritance. Handling of key/value pairs with hstore module.Key-value store
Secondary database modelsDocument store
Search engine infoUsing distributed Lucene
Document 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
Score52.67
Rank#19  Overall
#13  Relational DBMS
Score0.91
Rank#196  Overall
#29  Key-value stores
Score644.36
Rank#4  Overall
#4  Relational DBMS
Score2.84
Rank#97  Overall
#16  Key-value stores
Websitecloud.google.com/­bigquerywww.alachisoft.com/­ncachewww.postgresql.orgrocksdb.org
Technical documentationcloud.google.com/­bigquery/­docswww.alachisoft.com/­resources/­docswww.postgresql.org/­docsgithub.com/­facebook/­rocksdb/­wiki
DeveloperGoogleAlachisoftPostgreSQL Global Development Group infowww.postgresql.org/­developerFacebook, Inc.
Initial release201020051989 info1989: Postgres, 1996: PostgreSQL2013
Current release5.3.3, April 202416.4, August 20249.4.0, June 2024
License infoCommercial or Open SourcecommercialOpen Source infoEnterprise Edition availableOpen Source infoBSDOpen Source infoBSD
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC#, .NET, .NET Core, JavaCC++
Server operating systemshostedLinux
Windows
FreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows
Linux
Data schemeyesschema-freeyesschema-free
Typing infopredefined data types such as float or dateyespartial infoSupported data types are Lists, Queues, Hashsets, Dictionary and Counteryesno
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.nonoyes infospecific XML-type available, but no XML query functionality.no
Secondary indexesnoyesyesno
SQL infoSupport of SQLyesSQL-like query syntax and LINQ for searching the cache. Cache Synchronization with SQL Server using SQL dependency.yes infostandard with numerous extensionsno
APIs and other access methodsRESTful HTTP/JSON APIIDistributedCache
JCache
LINQ
Proprietary native API
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
C++ API
Java API
Supported programming languages.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
.Net
.Net Core
C#
Java
JavaScript (Node.js)
Python
Scala
.Net
C
C++
Delphi
Java infoJDBC
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C
C++
Go
Java
Perl
Python
Ruby
Server-side scripts infoStored proceduresuser defined functions infoin JavaScriptno infosupport for stored procedures with SQL-Server CLRuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.no
Triggersnoyes infoNotificationsyes
Partitioning methods infoMethods for storing different data on different nodesnoneyespartitioning by range, list and (since PostgreSQL 11) by hashhorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyes, with selectable consistency levelSource-replica replication infoother methods possible by using 3rd party extensionsyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency
Strong Eventual Consistency over WAN with Conflict Resolution using Bridge Topology
Immediate Consistency
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoSince BigQuery is designed for querying dataoptimistic locking and pessimistic lockingACIDyes
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesnoyes
User concepts infoAccess controlAccess privileges (owner, writer, reader) on dataset, table or view level infoGoogle Cloud Identity & Access Management (IAM)Authentication to access the cache via Active Directory/LDAP (possible roles: user, administrator)fine grained access rights according to SQL-standardno
More information provided by the system vendor
Google BigQueryNCachePostgreSQLRocksDB
Specific characteristicsNCache has been the market leader in .NET Distributed Caching since 2005 . NCache...
» more
Competitive advantagesNCache is 100% .NET/ .NET Core based which fully supports ASP.NET Core Sessions ,...
» more
Typical application scenariosNCache enables industries like retail, finance, banking IoT, travel, ecommerce, healthcare...
» more
Key customersBank of America, Citi, Natures Way, Charter Spectrum, Barclays, Henry Schein, GBM,...
» more
Market metricsMarket Leader in .NET Distributed Caching since 2005.
» more
Licensing and pricing modelsNCache Open Source is free on an as-is basis without any support. NCache Enterprise...
» more

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
Google BigQueryNCachePostgreSQLRocksDB
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