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DBMS > HEAVY.AI vs. Pinecone vs. TerminusDB

System Properties Comparison HEAVY.AI vs. Pinecone vs. TerminusDB

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Editorial information provided by DB-Engines
NameHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonPinecone  Xexclude from comparisonTerminusDB infoformer name was DataChemist  Xexclude from comparison
DescriptionA high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareA managed, cloud-native vector databaseScalable Graph Database platform making enterprise data available by exploiting inferred entities and relationships
Primary database modelRelational DBMSVector DBMSGraph DBMS
Secondary database modelsSpatial DBMSDocument store
RDF store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.52
Rank#147  Overall
#67  Relational DBMS
Score3.13
Rank#88  Overall
#3  Vector DBMS
Score0.18
Rank#320  Overall
#29  Graph DBMS
Websitegithub.com/­heavyai/­heavydb
www.heavy.ai
www.pinecone.ioterminusdb.com
Technical documentationdocs.heavy.aidocs.pinecone.io/­docs/­overviewterminusdb.github.io/­terminusdb/­#
DeveloperHEAVY.AI, Inc.Pinecone Systems, IncDataChemist Ltd.
Initial release201620192018
Current release5.10, January 202211.0.0, January 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2; enterprise edition availablecommercialOpen Source infoGPL V3
Cloud-based only infoOnly available as a cloud servicenoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++ and CUDAProlog, Rust
Server operating systemsLinuxhostedLinux
Data schemeyesyes
Typing infopredefined data types such as float or dateyesString, 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.nonono
Secondary indexesno
SQL infoSupport of SQLyesnoSQL-like query language (WOQL)
APIs and other access methodsJDBC
ODBC
Thrift
Vega
RESTful HTTP APIOWL
RESTful HTTP API
WOQL (Web Object Query Language)
Supported programming languagesAll languages supporting JDBC/ODBC/Thrift
Python
PythonJavaScript
Python
Server-side scripts infoStored proceduresnoyes
Triggersnoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infoRound robinGraph Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationJournaling Streams
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate 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 infoin-memory journaling
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlfine grained access rights according to SQL-standardRole-based access control

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More resources
HEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022PineconeTerminusDB infoformer name was DataChemist
DB-Engines blog posts

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2 June 2023, Matthias Gelbmann

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