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DBMS > Pinecone vs. Tigris vs. TimescaleDB

System Properties Comparison Pinecone vs. Tigris vs. TimescaleDB

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Editorial information provided by DB-Engines
NamePinecone  Xexclude from comparisonTigris  Xexclude from comparisonTimescaleDB  Xexclude from comparison
DescriptionA managed, cloud-native vector databaseA horizontally scalable, ACID transactional, document database available both as a fully managed cloud service and for deployment on self-managed infrastructureA time series DBMS optimized for fast ingest and complex queries, based on PostgreSQL
Primary database modelVector DBMSDocument store
Key-value store
Search engine
Time Series DBMS
Time Series DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.13
Rank#88  Overall
#3  Vector DBMS
Score0.04
Rank#360  Overall
#49  Document stores
#53  Key-value stores
#23  Search engines
#38  Time Series DBMS
Score3.90
Rank#74  Overall
#5  Time Series DBMS
Websitewww.pinecone.iowww.tigrisdata.comwww.timescale.com
Technical documentationdocs.pinecone.io/­docs/­overviewwww.tigrisdata.com/­docsdocs.timescale.com
DeveloperPinecone Systems, IncTigris Data, Inc.Timescale
Initial release201920222017
Current release2.15.0, May 2024
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0Open Source infoApache 2.0
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
Windows
Linux
OS X
Windows
Data schemeyesyes
Typing infopredefined data types such as float or dateString, Number, Booleanyesnumerics, strings, booleans, arrays, JSON blobs, geospatial dimensions, currencies, binary data, other complex data types
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.nonoyes
Secondary indexesyesyes
SQL infoSupport of SQLnonoyes infofull PostgreSQL SQL syntax
APIs and other access methodsRESTful HTTP APICLI Client
gRPC
RESTful HTTP API
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesPythonGo
Java
JavaScript (Node.js)
.Net
C
C++
Delphi
Java infoJDBC
JavaScript
Perl
PHP
Python
R
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresnouser defined functions, PL/pgSQL, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shell
Triggersnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingyes, across time and space (hash partitioning) attributes
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replication with hot standby and reads on replicas info
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes
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 persistentyesyes, using FoundationDByes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlAccess rights for users and rolesfine grained access rights according to SQL-standard

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More resources
PineconeTigrisTimescaleDB
DB-Engines blog posts

Vector databases
2 June 2023, Matthias Gelbmann

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