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DBMS > Datomic vs. HyperSQL vs. Pinecone

System Properties Comparison Datomic vs. HyperSQL vs. Pinecone

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Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonHyperSQL infoalso known as HSQLDB  Xexclude from comparisonPinecone  Xexclude from comparison
DescriptionDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityMultithreaded, 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
Score1.59
Rank#150  Overall
#69  Relational DBMS
Score3.49
Rank#87  Overall
#47  Relational DBMS
Score3.16
Rank#95  Overall
#2  Vector DBMS
Websitewww.datomic.comhsqldb.orgwww.pinecone.io
Technical documentationdocs.datomic.comhsqldb.org/­web/­hsqlDocsFrame.htmldocs.pinecone.io/­docs/­overview
DeveloperCognitectPinecone Systems, Inc
Initial release201220012019
Current release1.0.6735, June 20232.7.2, June 2023
License infoCommercial or Open Sourcecommercial infolimited edition freeOpen 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 languageJava, ClojureJava
Server operating systemsAll OS with a Java VMAll 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 SQLnoyesno
APIs and other access methodsRESTful HTTP APIHTTP API infoJDBC via HTTP
JDBC
ODBC
RESTful HTTP API
Supported programming languagesClojure
Java
All languages supporting JDBC/ODBC
Java
Python
Server-side scripts infoStored proceduresyes infoTransaction FunctionsJava, SQL
TriggersBy using transaction functionsyes
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peersnone
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersnone
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 dataACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes inforecommended only for testing and developmentyesno
User concepts infoAccess controlnofine grained access rights according to SQL-standard

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

Vector databases
2 June 2023, Matthias Gelbmann

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