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DBMS > BigObject vs. OceanBase vs. Pinecone

System Properties Comparison BigObject vs. OceanBase vs. Pinecone

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Editorial information provided by DB-Engines
NameBigObject  Xexclude from comparisonOceanBase  Xexclude from comparisonPinecone  Xexclude from comparison
DescriptionAnalytic DBMS for real-time computations and queriesA distributed, high available RDBMS compatible with Oracle and MySQLA managed, cloud-native vector database
Primary database modelRelational DBMS infoa hierachical model (tree) can be imposedRelational DBMSVector DBMS
Secondary database modelsDocument store
Wide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.19
Rank#329  Overall
#146  Relational DBMS
Score1.57
Rank#149  Overall
#69  Relational DBMS
Score3.23
Rank#92  Overall
#3  Vector DBMS
Websitebigobject.ioen.oceanbase.comwww.pinecone.io
Technical documentationdocs.bigobject.ioen.oceanbase.com/­docs/­oceanbase-databasedocs.pinecone.io/­docs/­overview
DeveloperBigObject, Inc.OceanBase infopreviously Alibaba and Ant GroupPinecone Systems, Inc
Initial release201520102019
Current release4.3.0, April 2024
License infoCommercial or Open Sourcecommercial infofree community edition availableOpen Source infoCommercial license availablecommercial
Cloud-based only infoOnly available as a cloud servicenonoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++
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.noyesno
Secondary indexesyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsyesno
APIs and other access methodsfluentd
ODBC
RESTful HTTP API
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Proprietary native API
Table API
RESTful HTTP API
Supported programming languagesAda infoin MySQL-compatible model
C infoin Oracle- and MySQL- compatible models
C++ infoin Oracle- and MySQL- compatible models
D infoin MySQL-compatible model
Delphi infoin MySQL-compatible model
Eiffel infoin MySQL-compatible model
Erlang infoin MySQL-compatible model
Haskell infoin MySQL-compatible model
Java infoin Oracle- and MySQL- compatible models
JavaScript (Node.js) infoin MySQL-compatible model
Objective-C infoin MySQL-compatible model
OCaml infoin MySQL-compatible model
Perl infoin MySQL-compatible model
PHP infoin MySQL-compatible model
Python infoin MySQL-compatible model
Ruby infoin MySQL-compatible model
Scheme infoin MySQL-compatible model
Tcl infoin MySQL-compatible model
Python
Server-side scripts infoStored proceduresLuaPL/SQL in oracle-compatible mode, MySQL Stored Procedure in mysql-compatible mode
Triggersnoyes
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioning (by hash, key, range, range columns, list, and list columns)
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replication using Paxos
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.yesno
User concepts infoAccess controlnoAccess rights for users, groups and roles according to SQL-standard

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More resources
BigObjectOceanBasePinecone
DB-Engines blog posts

Vector databases
2 June 2023, Matthias Gelbmann

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