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DBMS > atoti vs. Pinecone vs. VelocityDB

System Properties Comparison atoti vs. Pinecone vs. VelocityDB

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Editorial information provided by DB-Engines
Nameatoti  Xexclude from comparisonPinecone  Xexclude from comparisonVelocityDB  Xexclude from comparison
DescriptionAn in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.A managed, cloud-native vector databaseA .NET Object Database that can be embedded/distributed and extended to a graph data model (VelocityGraph)
Primary database modelObject oriented DBMSVector DBMSGraph DBMS
Object oriented DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.61
Rank#243  Overall
#11  Object oriented DBMS
Score3.23
Rank#92  Overall
#3  Vector DBMS
Score0.11
Rank#354  Overall
#37  Graph DBMS
#16  Object oriented DBMS
Websiteatoti.iowww.pinecone.iovelocitydb.com
Technical documentationdocs.atoti.iodocs.pinecone.io/­docs/­overviewvelocitydb.com/­UserGuide
DeveloperActiveViamPinecone Systems, IncVelocityDB Inc
Initial release20192011
Current release7.x
License infoCommercial or Open Sourcecommercial infofree versions availablecommercialcommercial
Cloud-based only infoOnly available as a cloud servicenoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC#
Server operating systemshostedAny that supports .NET
Data schemeyes
Typing infopredefined data types such as float or dateString, Number, Booleanyes
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
Secondary indexesyes
SQL infoSupport of SQLMultidimensional Expressions (MDX)nono
APIs and other access methodsRESTful HTTP API.Net
Supported programming languagesPython.Net
Server-side scripts infoStored proceduresPythonno
TriggersCallbacks are triggered when data changes
Partitioning methods infoMethods for storing different data on different nodesSharding, horizontal partitioningSharding
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integrityno
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.yesnoyes
User concepts infoAccess controlBased on Windows Authentication

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More resources
atotiPineconeVelocityDB
DB-Engines blog posts

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