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DBMS > atoti vs. Google BigQuery vs. openGauss vs. Pinecone vs. PostgreSQL

System Properties Comparison atoti vs. Google BigQuery vs. openGauss vs. Pinecone vs. PostgreSQL

Editorial information provided by DB-Engines
Nameatoti  Xexclude from comparisonGoogle BigQuery  Xexclude from comparisonopenGauss  Xexclude from comparisonPinecone  Xexclude from comparisonPostgreSQL  Xexclude from comparison
DescriptionAn in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.Large scale data warehouse service with append-only tablesAn enterprise-class RDBMS compatible with high-performance, high-availability and high-performance originally developed by HuaweiA managed, cloud-native vector databaseWidely used open source RDBMS infoDeveloped as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQL
Primary database modelObject oriented DBMSRelational DBMSRelational DBMSVector DBMSRelational DBMS infowith object oriented extensions, e.g.: user defined types/functions and inheritance. Handling of key/value pairs with hstore module.
Secondary database modelsDocument store
Spatial DBMS
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
Score0.56
Rank#245  Overall
#10  Object oriented DBMS
Score60.38
Rank#19  Overall
#13  Relational DBMS
Score1.08
Rank#183  Overall
#84  Relational DBMS
Score3.16
Rank#95  Overall
#2  Vector DBMS
Score645.54
Rank#4  Overall
#4  Relational DBMS
Websiteatoti.iocloud.google.com/­bigquerygitee.com/­opengauss
opengauss.org
www.pinecone.iowww.postgresql.org
Technical documentationdocs.atoti.iocloud.google.com/­bigquery/­docsdocs.opengauss.org/­en
gitee.com/­opengauss/­docs
docs.pinecone.io/­docs/­overviewwww.postgresql.org/­docs
DeveloperActiveViamGoogleHuawei and openGauss communityPinecone Systems, IncPostgreSQL Global Development Group infowww.postgresql.org/­developer
Initial release2010201920191989 info1989: Postgres, 1996: PostgreSQL
Current release3.0, March 202216.3, May 2024
License infoCommercial or Open Sourcecommercial infofree versions availablecommercialOpen SourcecommercialOpen Source infoBSD
Cloud-based only infoOnly available as a cloud servicenoyesnoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC, C++, JavaC
Server operating systemshostedLinuxhostedFreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows
Data schemeyesyesyes
Typing infopredefined data types such as float or dateyesyesString, 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.nononoyes infospecific XML-type available, but no XML query functionality.
Secondary indexesnoyesyes
SQL infoSupport of SQLMultidimensional Expressions (MDX)yesANSI SQL 2011noyes infostandard with numerous extensions
APIs and other access methodsRESTful HTTP/JSON APIJDBC
ODBC
RESTful HTTP APIADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languages.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
C
C++
Java
Python.Net
C
C++
Delphi
Java infoJDBC
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Server-side scripts infoStored proceduresPythonuser defined functions infoin JavaScriptyesuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.
Triggersnoyesyes
Partitioning methods infoMethods for storing different data on different nodesSharding, horizontal partitioningnonehorizontal partitioning (by range, list and hash)partitioning by range, list and (since PostgreSQL 11) by hash
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationSource-replica replication infoother methods possible by using 3rd party extensions
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoSince BigQuery is designed for querying dataACIDACID
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyesyesyes
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.yesnononono
User concepts infoAccess controlAccess privileges (owner, writer, reader) on dataset, table or view level infoGoogle Cloud Identity & Access Management (IAM)Access rights for users, groups and roles according to SQL-standardfine grained access rights according to SQL-standard

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More resources
atotiGoogle BigQueryopenGaussPineconePostgreSQL
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