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DBMS > Pinecone vs. Spark SQL vs. TerminusDB vs. Transbase

System Properties Comparison Pinecone vs. Spark SQL vs. TerminusDB vs. Transbase

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Editorial information provided by DB-Engines
NamePinecone  Xexclude from comparisonSpark SQL  Xexclude from comparisonTerminusDB infoformer name was DataChemist  Xexclude from comparisonTransbase  Xexclude from comparison
DescriptionA managed, cloud-native vector databaseSpark SQL is a component on top of 'Spark Core' for structured data processingScalable Graph Database platform making enterprise data available by exploiting inferred entities and relationshipsA resource-optimized, high-performance, universally applicable RDBMS
Primary database modelVector DBMSRelational DBMSGraph DBMSRelational DBMS
Secondary database modelsDocument store
RDF store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.16
Rank#95  Overall
#2  Vector DBMS
Score18.96
Rank#33  Overall
#20  Relational DBMS
Score0.17
Rank#325  Overall
#29  Graph DBMS
Score0.11
Rank#341  Overall
#150  Relational DBMS
Websitewww.pinecone.iospark.apache.org/­sqlterminusdb.comwww.transaction.de/­en/­products/­transbase.html
Technical documentationdocs.pinecone.io/­docs/­overviewspark.apache.org/­docs/­latest/­sql-programming-guide.htmlterminusdb.github.io/­terminusdb/­#www.transaction.de/­en/­products/­transbase/­features.html
DeveloperPinecone Systems, IncApache Software FoundationDataChemist Ltd.Transaction Software GmbH
Initial release2019201420181987
Current release3.5.0 ( 2.13), September 202311.0.0, January 2023Transbase 8.3, 2022
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open Source infoGPL V3commercial infofree development license
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageScalaProlog, RustC and C++
Server operating systemshostedLinux
OS X
Windows
LinuxFreeBSD
Linux
macOS
Solaris
Windows
Data schemeyesyesyes
Typing infopredefined data types such as float or dateString, Number, Booleanyesyesyes
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.nononono
Secondary indexesnoyes
SQL infoSupport of SQLnoSQL-like DML and DDL statementsSQL-like query language (WOQL)yes
APIs and other access methodsRESTful HTTP APIJDBC
ODBC
OWL
RESTful HTTP API
WOQL (Web Object Query Language)
ADO.NET
JDBC
ODBC
Proprietary native API
Supported programming languagesPythonJava
Python
R
Scala
JavaScript
Python
C
C#
C++
Java
JavaScript
Kotlin
Objective-C
PHP
Python
Server-side scripts infoStored proceduresnoyesyes
Triggersnoyesyes
Partitioning methods infoMethods for storing different data on different nodesyes, utilizing Spark CoreGraph Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnoneJournaling StreamsSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integritynoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDyes
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoin-memory journalingyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonono
User concepts infoAccess controlnoRole-based access controlfine grained access rights according to SQL-standard

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More resources
PineconeSpark SQLTerminusDB infoformer name was DataChemistTransbase
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