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DBMS > atoti vs. Coveo vs. Google BigQuery vs. Immudb vs. PostgreSQL

System Properties Comparison atoti vs. Coveo vs. Google BigQuery vs. Immudb vs. PostgreSQL

Editorial information provided by DB-Engines
Nameatoti  Xexclude from comparisonCoveo  Xexclude from comparisonGoogle BigQuery  Xexclude from comparisonImmudb  Xexclude from comparisonPostgreSQL  Xexclude from comparison
DescriptionAn in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.AI-powered hosted search, recommendation and personalization platform providing tools for both low-code and full-code developmentLarge scale data warehouse service with append-only tablesAn open source immutable (append-only) database with cryptographic verification which makes it tamper-resistant and fully auditable.Widely used open source RDBMS infoDeveloped as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQL
Primary database modelObject oriented DBMSSearch engineRelational DBMSKey-value storeRelational DBMS infowith object oriented extensions, e.g.: user defined types/functions and inheritance. Handling of key/value pairs with hstore module.
Secondary database modelsRelational DBMSDocument 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
Score2.28
Rank#114  Overall
#11  Search engines
Score60.38
Rank#19  Overall
#13  Relational DBMS
Score0.24
Rank#305  Overall
#43  Key-value stores
Score645.54
Rank#4  Overall
#4  Relational DBMS
Websiteatoti.iowww.coveo.comcloud.google.com/­bigquerygithub.com/­codenotary/­immudb
immudb.io
www.postgresql.org
Technical documentationdocs.atoti.iodocs.coveo.comcloud.google.com/­bigquery/­docsdocs.immudb.iowww.postgresql.org/­docs
DeveloperActiveViamCoveoGoogleCodenotaryPostgreSQL Global Development Group infowww.postgresql.org/­developer
Initial release2012201020201989 info1989: Postgres, 1996: PostgreSQL
Current release1.2.3, April 202216.3, May 2024
License infoCommercial or Open Sourcecommercial infofree versions availablecommercialcommercialOpen Source infoApache Version 2.0Open Source infoBSD
Cloud-based only infoOnly available as a cloud servicenoyesyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
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Implementation languageJavaGoC
Server operating systemshostedhostedBSD
Linux
macOS
Solaris
Windows
z/OS
FreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows
Data schemehybrid - fields need to be configured prior to indexing, but relationships can be exploited at query time without pre-configurationyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyes
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 indexesyesnoyesyes
SQL infoSupport of SQLMultidimensional Expressions (MDX)noyesSQL-like syntaxyes infostandard with numerous extensions
APIs and other access methodsRESTful HTTP APIRESTful HTTP/JSON APIgRPC protocol
PostgreSQL wire protocol
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesC#
Java
JavaScript
Python
.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
.Net
Go
Java
JavaScript (Node.js)
Python
.Net
C
C++
Delphi
Java infoJDBC
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Server-side scripts infoStored proceduresPythonnouser defined functions infoin JavaScriptnouser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.
Triggersyesnonoyes
Partitioning methods infoMethods for storing different data on different nodesSharding, horizontal partitioningyesnoneShardingpartitioning by range, list and (since PostgreSQL 11) by hash
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-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 ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesno 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.yesnonono
User concepts infoAccess controlgranular access controls, API key management, content filtersAccess privileges (owner, writer, reader) on dataset, table or view level infoGoogle Cloud Identity & Access Management (IAM)fine grained access rights according to SQL-standard

More information provided by the system vendor

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More resources
atotiCoveoGoogle BigQueryImmudbPostgreSQL
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