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DBMS > Pinecone vs. Transwarp Hippo vs. Yaacomo

System Properties Comparison Pinecone vs. Transwarp Hippo vs. Yaacomo

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Editorial information provided by DB-Engines
NamePinecone  Xexclude from comparisonTranswarp Hippo  Xexclude from comparisonYaacomo  Xexclude from comparison
Yaacomo seems to be discontinued and is removed from the DB-Engines ranking
DescriptionA managed, cloud-native vector databaseCloud-native distributed Vector DBMS that supports storage, retrieval, and management of massive vector-based datasetsOpenCL based in-memory RDBMS, designed for efficiently utilizing the hardware via parallel computing
Primary database modelVector DBMSVector DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.16
Rank#95  Overall
#2  Vector DBMS
Score0.00
Rank#383  Overall
#13  Vector DBMS
Websitewww.pinecone.iowww.transwarp.cn/­en/­subproduct/­hippoyaacomo.com
Technical documentationdocs.pinecone.io/­docs/­overview
DeveloperPinecone Systems, IncQ2WEB GmbH
Initial release201920232009
Current release1.0, May 2023
License infoCommercial or Open Sourcecommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++
Server operating systemshostedLinux
macOS
Android
Linux
Windows
Data schemeyes
Typing infopredefined data types such as float or dateString, Number, BooleanVector, Numeric and Stringyes
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 indexesnoyes
SQL infoSupport of SQLnonoyes
APIs and other access methodsRESTful HTTP APIRESTful HTTP APIJDBC
ODBC
Supported programming languagesPythonC++
Java
Python
Server-side scripts infoStored proceduresno
Triggersnoyes
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
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.noyesyes
User concepts infoAccess controlRole based access control and fine grained access rightsfine grained access rights according to SQL-standard

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More resources
PineconeTranswarp HippoYaacomo
DB-Engines blog posts

Vector databases
2 June 2023, Matthias Gelbmann

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Pinecone’s new serverless database may see few takers, analysts say
17 January 2024, InfoWorld

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16 January 2024, Datanami

Pinecone Brings Serverless To Vector Databases
16 January 2024, Forbes

Reimagining Vector Databases for the Generative AI Era with Pinecone Serverless on AWS | Amazon Web Services
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