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DBMS > atoti vs. Galaxybase vs. Google BigQuery vs. PostgreSQL vs. SwayDB

System Properties Comparison atoti vs. Galaxybase vs. Google BigQuery vs. PostgreSQL vs. SwayDB

Editorial information provided by DB-Engines
Nameatoti  Xexclude from comparisonGalaxybase  Xexclude from comparisonGoogle BigQuery  Xexclude from comparisonPostgreSQL  Xexclude from comparisonSwayDB  Xexclude from comparison
DescriptionAn in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.Scalable, ACID-compliant native distributed parallel graph platformLarge scale data warehouse service with append-only tablesWidely used open source RDBMS infoDeveloped as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQLAn embeddable, non-blocking, type-safe key-value store for single or multiple disks and in-memory storage
Primary database modelObject oriented DBMSGraph DBMSRelational DBMSRelational 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
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
Score0.00
Rank#383  Overall
#39  Graph DBMS
Score60.38
Rank#19  Overall
#13  Relational DBMS
Score645.54
Rank#4  Overall
#4  Relational DBMS
Score0.00
Rank#382  Overall
#59  Key-value stores
Websiteatoti.iogalaxybase.comcloud.google.com/­bigquerywww.postgresql.orgswaydb.simer.au
Technical documentationdocs.atoti.iocloud.google.com/­bigquery/­docswww.postgresql.org/­docs
DeveloperActiveViamChuanglin(Createlink) Technology Co., Ltd 浙江创邻科技有限公司GooglePostgreSQL Global Development Group infowww.postgresql.org/­developerSimer Plaha
Initial release201720101989 info1989: Postgres, 1996: PostgreSQL2018
Current releaseNov 20, November 202116.3, May 2024
License infoCommercial or Open Sourcecommercial infofree versions availablecommercialcommercialOpen Source infoBSDOpen Source infoGNU Affero GPL V3.0
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC and JavaCScala
Server operating systemsLinuxhostedFreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows
Data schemeStrong typed schemayesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesno
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 indexesyesnoyesno
SQL infoSupport of SQLMultidimensional Expressions (MDX)noyesyes infostandard with numerous extensionsno
APIs and other access methodsBrowser interface
console (shell)
Graph API (Gremlin)
OpenCypher
Proprietary native API
RESTful HTTP/JSON APIADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesGo
Java
Python
.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
.Net
C
C++
Delphi
Java infoJDBC
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Java
Kotlin
Scala
Server-side scripts infoStored proceduresPythonuser defined procedures and functionsuser defined functions infoin JavaScriptuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.no
Triggersnoyesno
Partitioning methods infoMethods for storing different data on different nodesSharding, horizontal partitioningShardingnonepartitioning by range, list and (since PostgreSQL 11) by hashnone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication infoother methods possible by using 3rd party extensionsnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoRelationships in graphsnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno infoSince BigQuery is designed for querying dataACIDAtomic execution of operations
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.yesyesnonoyes
User concepts infoAccess controlRole-based access controlAccess privileges (owner, writer, reader) on dataset, table or view level infoGoogle Cloud Identity & Access Management (IAM)fine grained access rights according to SQL-standardno

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More resources
atotiGalaxybaseGoogle BigQueryPostgreSQLSwayDB
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