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DBMS > atoti vs. GBase vs. Pinecone

System Properties Comparison atoti vs. GBase vs. Pinecone

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Editorial information provided by DB-Engines
Nameatoti  Xexclude from comparisonGBase  Xexclude from comparisonPinecone  Xexclude from comparison
DescriptionAn in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.Widely used RDBMS in China, including analytical, transactional, distributed transactional, and cloud-native data warehousing.A managed, cloud-native vector database
Primary database modelObject oriented DBMSRelational DBMSVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.45
Rank#253  Overall
#13  Object oriented DBMS
Score1.11
Rank#173  Overall
#78  Relational DBMS
Score3.02
Rank#87  Overall
#3  Vector DBMS
Websiteatoti.iowww.gbase.cnwww.pinecone.io
Technical documentationdocs.atoti.iodocs.pinecone.io/­docs/­overview
DeveloperActiveViamGeneral Data Technology Co., Ltd.Pinecone Systems, Inc
Initial release20042019
Current releaseGBase 8a, GBase 8s, GBase 8c
License infoCommercial or Open Sourcecommercial infofree versions availablecommercialcommercial
Cloud-based only infoOnly available as a cloud servicenonoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC, Java, Python
Server operating systemsLinuxhosted
Data schemeyes
Typing infopredefined data types such as float or dateyesString, 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.yesno
Secondary indexesyes
SQL infoSupport of SQLMultidimensional Expressions (MDX)Standard with numerous extensionsno
APIs and other access methodsADO.NET
C API
JDBC
ODBC
RESTful HTTP API
Supported programming languagesC#Python
Server-side scripts infoStored proceduresPythonuser defined functions
Triggersyes
Partitioning methods infoMethods for storing different data on different nodesSharding, horizontal partitioninghorizontal partitioning (by range, list and hash) and vertical partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integrityyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlyes

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More resources
atotiGBasePinecone
DB-Engines blog posts

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2 June 2023, Matthias Gelbmann

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