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DBMS > Pinecone vs. TimescaleDB vs. WakandaDB vs. Yaacomo

System Properties Comparison Pinecone vs. TimescaleDB vs. WakandaDB vs. Yaacomo

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Editorial information provided by DB-Engines
NamePinecone  Xexclude from comparisonTimescaleDB  Xexclude from comparisonWakandaDB  Xexclude from comparisonYaacomo  Xexclude from comparison
Yaacomo seems to be discontinued and is removed from the DB-Engines ranking
DescriptionA managed, cloud-native vector databaseA time series DBMS optimized for fast ingest and complex queries, based on PostgreSQLWakandaDB is embedded in a server that provides a REST API and a server-side javascript engine to access dataOpenCL based in-memory RDBMS, designed for efficiently utilizing the hardware via parallel computing
Primary database modelVector DBMSTime Series DBMSObject oriented DBMSRelational DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.16
Rank#95  Overall
#2  Vector DBMS
Score4.64
Rank#71  Overall
#4  Time Series DBMS
Score0.03
Rank#364  Overall
#17  Object oriented DBMS
Websitewww.pinecone.iowww.timescale.comwakanda.github.ioyaacomo.com
Technical documentationdocs.pinecone.io/­docs/­overviewdocs.timescale.comwakanda.github.io/­doc
DeveloperPinecone Systems, IncTimescaleWakanda SASQ2WEB GmbH
Initial release2019201720122009
Current release2.13.0, November 20232.7.0 (April 29, 2019), April 2019
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open Source infoAGPLv3, extended commercial license availablecommercial
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCC++, JavaScript
Server operating systemshostedLinux
OS X
Windows
Linux
OS X
Windows
Android
Linux
Windows
Data schemeyesyesyes
Typing infopredefined data types such as float or dateString, Number, Booleannumerics, strings, booleans, arrays, JSON blobs, geospatial dimensions, currencies, binary data, other complex data typesyesyes
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.noyesnono
Secondary indexesyesyes
SQL infoSupport of SQLnoyes infofull PostgreSQL SQL syntaxnoyes
APIs and other access methodsRESTful HTTP APIADO.NET
JDBC
native C library
ODBC
streaming API for large objects
RESTful HTTP APIJDBC
ODBC
Supported programming languagesPython.Net
C
C++
Delphi
Java infoJDBC
JavaScript
Perl
PHP
Python
R
Ruby
Scheme
Tcl
JavaScript
Server-side scripts infoStored proceduresuser defined functions, PL/pgSQL, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shellyes
Triggersyesyesyes
Partitioning methods infoMethods for storing different data on different nodesyes, across time and space (hash partitioning) attributesnonehorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication with hot standby and reads on replicas infononeSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nononoyes
User concepts infoAccess controlfine grained access rights according to SQL-standardyesfine grained access rights according to SQL-standard

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More resources
PineconeTimescaleDBWakandaDBYaacomo
DB-Engines blog posts

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