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DBMS > BigObject vs. Ingres vs. PostgreSQL vs. Qdrant

System Properties Comparison BigObject vs. Ingres vs. PostgreSQL vs. Qdrant

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Editorial information provided by DB-Engines
NameBigObject  Xexclude from comparisonIngres  Xexclude from comparisonPostgreSQL  Xexclude from comparisonQdrant  Xexclude from comparison
DescriptionAnalytic DBMS for real-time computations and queriesWell established RDBMSWidely used open source RDBMS infoDeveloped as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQLA high-performance vector database with neural network or semantic-based matching
Primary database modelRelational DBMS infoa hierachical model (tree) can be imposedRelational DBMSRelational DBMS infowith object oriented extensions, e.g.: user defined types/functions and inheritance. Handling of key/value pairs with hstore module.Vector DBMS
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
Score0.13
Rank#333  Overall
#147  Relational DBMS
Score4.11
Rank#81  Overall
#44  Relational DBMS
Score645.54
Rank#4  Overall
#4  Relational DBMS
Score1.16
Rank#175  Overall
#6  Vector DBMS
Websitebigobject.iowww.actian.com/­databases/­ingreswww.postgresql.orggithub.com/­qdrant/­qdrant
qdrant.tech
Technical documentationdocs.bigobject.iodocs.actian.com/­ingreswww.postgresql.org/­docsqdrant.tech/­documentation
DeveloperBigObject, Inc.Actian CorporationPostgreSQL Global Development Group infowww.postgresql.org/­developerQdrant
Initial release20151974 infooriginally developed at University Berkely in early 1970s1989 info1989: Postgres, 1996: PostgreSQL2021
Current release11.2, May 202216.3, May 2024
License infoCommercial or Open Sourcecommercial infofree community edition availablecommercialOpen Source infoBSDOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCCRust
Server operating systemsLinux infodistributed as a docker-image
OS X infodistributed as a docker-image (boot2docker)
Windows infodistributed as a docker-image (boot2docker)
AIX
HP Open VMS
HP-UX
Linux
Solaris
Windows
FreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows
Docker
Linux
macOS
Windows
Data schemeyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesNumbers, Strings, Geo, Boolean
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.nono infobut tools for importing/exporting data from/to XML-files availableyes infospecific XML-type available, but no XML query functionality.no
Secondary indexesyesyesyesyes infoKeywords, numberic ranges, geo, full-text
SQL infoSupport of SQLSQL-like DML and DDL statementsyesyes infostandard with numerous extensionsno
APIs and other access methodsfluentd
ODBC
RESTful HTTP API
.NET Client API
JDBC
ODBC
proprietary protocol (OpenAPI)
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
gRPC
OpenAPI 3.0
RESTful HTTP/JSON API infoOpenAPI 3.0
Supported programming languages.Net
C
C++
Delphi
Java infoJDBC
JavaScript (Node.js)
Perl
PHP
Python
Tcl
.Net
Go
Java
JavaScript (Node.js)
Python
Rust
Server-side scripts infoStored proceduresLuayesuser 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 nodesnonehorizontal partitioning infoIngres Star to access multiple databases simultaneouslypartitioning by range, list and (since PostgreSQL 11) by hashSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneIngres ReplicatorSource-replica replication infoother methods possible by using 3rd party extensionsCollection-level replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate ConsistencyEventual Consistency, tunable consistency
Foreign keys infoReferential integrityyes infoautomatically between fact table and dimension tablesyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID
Concurrency infoSupport for concurrent manipulation of datayes infoRead/write lock on objects (tables, trees)yes infoMVCCyesyes
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.yesnonoyes
User concepts infoAccess controlnofine grained access rights according to SQL-standardfine grained access rights according to SQL-standardKey-based authentication

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More resources
BigObjectIngresPostgreSQLQdrant
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