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DBMS > BigObject vs. openGauss vs. Pinecone

System Properties Comparison BigObject vs. openGauss vs. Pinecone

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Editorial information provided by DB-Engines
NameBigObject  Xexclude from comparisonopenGauss  Xexclude from comparisonPinecone  Xexclude from comparison
DescriptionAnalytic DBMS for real-time computations and queriesAn enterprise-class RDBMS compatible with high-performance, high-availability and high-performance originally developed by HuaweiA managed, cloud-native vector database
Primary database modelRelational DBMS infoa hierachical model (tree) can be imposedRelational DBMSVector DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.13
Rank#333  Overall
#147  Relational DBMS
Score1.08
Rank#183  Overall
#84  Relational DBMS
Score3.16
Rank#95  Overall
#2  Vector DBMS
Websitebigobject.iogitee.com/­opengauss
opengauss.org
www.pinecone.io
Technical documentationdocs.bigobject.iodocs.opengauss.org/­en
gitee.com/­opengauss/­docs
docs.pinecone.io/­docs/­overview
DeveloperBigObject, Inc.Huawei and openGauss communityPinecone Systems, Inc
Initial release201520192019
Current release3.0, March 2022
License infoCommercial or Open Sourcecommercial infofree community edition availableOpen Sourcecommercial
Cloud-based only infoOnly available as a cloud servicenonoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++, Java
Server operating systemsLinux infodistributed as a docker-image
OS X infodistributed as a docker-image (boot2docker)
Windows infodistributed as a docker-image (boot2docker)
Linuxhosted
Data schemeyesyes
Typing infopredefined data types such as float or dateyesyesString, Number, 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.nonono
Secondary indexesyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsANSI SQL 2011no
APIs and other access methodsfluentd
ODBC
RESTful HTTP API
JDBC
ODBC
RESTful HTTP API
Supported programming languagesC
C++
Java
Python
Server-side scripts infoStored proceduresLuayes
Triggersnoyes
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioning (by range, list and hash)
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate Consistency
Foreign keys infoReferential integrityyes infoautomatically between fact table and dimension tablesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID
Concurrency infoSupport for concurrent manipulation of datayes infoRead/write lock on objects (tables, trees)yesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnono
User concepts infoAccess controlnoAccess rights for users, groups and roles according to SQL-standard

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More resources
BigObjectopenGaussPinecone
DB-Engines blog posts

Vector databases
2 June 2023, Matthias Gelbmann

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