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DBMS > EsgynDB vs. HyperSQL vs. Pinecone

System Properties Comparison EsgynDB vs. HyperSQL vs. Pinecone

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Editorial information provided by DB-Engines
NameEsgynDB  Xexclude from comparisonHyperSQL infoalso known as HSQLDB  Xexclude from comparisonPinecone  Xexclude from comparison
DescriptionEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionMultithreaded, transactional RDBMS written in Java infoalso known as HSQLDBA managed, cloud-native vector database
Primary database modelRelational DBMSRelational DBMSVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.16
Rank#324  Overall
#145  Relational DBMS
Score2.95
Rank#90  Overall
#48  Relational DBMS
Score3.23
Rank#80  Overall
#4  Vector DBMS
Websitewww.esgyn.cnhsqldb.orgwww.pinecone.io
Technical documentationhsqldb.org/­web/­hsqlDocsFrame.htmldocs.pinecone.io/­docs/­overview
DeveloperEsgynPinecone Systems, Inc
Initial release201520012019
Current release2.7.2, June 2023
License infoCommercial or Open SourcecommercialOpen Source infobased on BSD licensecommercial
Cloud-based only infoOnly available as a cloud servicenonoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++, JavaJava
Server operating systemsLinuxAll OS with a Java VM infoEmbedded (into Java applications) and Client-Server operating modeshosted
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.nonono
Secondary indexesyesyes
SQL infoSupport of SQLyesyesno
APIs and other access methodsADO.NET
JDBC
ODBC
HTTP API infoJDBC via HTTP
JDBC
ODBC
RESTful HTTP API
Supported programming languagesAll languages supporting JDBC/ODBC/ADO.NetAll languages supporting JDBC/ODBC
Java
Python
Server-side scripts infoStored proceduresJava Stored ProceduresJava, SQL
Triggersnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication between multi datacentersnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID
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.noyesno
User concepts infoAccess controlfine grained access rights according to SQL-standardfine grained access rights according to SQL-standard

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More resources
EsgynDBHyperSQL infoalso known as HSQLDBPinecone
DB-Engines blog posts

Vector databases
2 June 2023, Matthias Gelbmann

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