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DBMS > Apache Pinot vs. Badger vs. Pinecone vs. Yaacomo

System Properties Comparison Apache Pinot vs. Badger vs. Pinecone vs. Yaacomo

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Editorial information provided by DB-Engines
NameApache Pinot  Xexclude from comparisonBadger  Xexclude from comparisonPinecone  Xexclude from comparisonYaacomo  Xexclude from comparison
Yaacomo seems to be discontinued and is removed from the DB-Engines ranking
DescriptionRealtime distributed OLAP datastore, designed to answer OLAP queries with low latencyAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.A managed, cloud-native vector databaseOpenCL based in-memory RDBMS, designed for efficiently utilizing the hardware via parallel computing
Primary database modelRelational DBMSKey-value storeVector DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.38
Rank#275  Overall
#126  Relational DBMS
Score0.22
Rank#320  Overall
#47  Key-value stores
Score3.23
Rank#92  Overall
#2  Vector DBMS
Websitepinot.apache.orggithub.com/­dgraph-io/­badgerwww.pinecone.ioyaacomo.com
Technical documentationdocs.pinot.apache.orggodoc.org/­github.com/­dgraph-io/­badgerdocs.pinecone.io/­docs/­overview
DeveloperApache Software Foundation and contributorsDGraph LabsPinecone Systems, IncQ2WEB GmbH
Initial release2015201720192009
Current release1.0.0, September 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache 2.0commercialcommercial
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaGo
Server operating systemsAll OS with a Java JDK11 or higherBSD
Linux
OS X
Solaris
Windows
hostedAndroid
Linux
Windows
Data schemeyesschema-freeyes
Typing infopredefined data types such as float or dateyesnoString, Number, Booleanyes
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 indexesnoyes
SQL infoSupport of SQLSQL-like query languagenonoyes
APIs and other access methodsJDBCRESTful HTTP APIJDBC
ODBC
Supported programming languagesGo
Java
Python
GoPython
Server-side scripts infoStored proceduresno
Triggersnoyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningnonehorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate Consistency
Foreign keys infoReferential integritynoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID
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.nonoyes
User concepts infoAccess controlnofine grained access rights according to SQL-standard

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More resources
Apache PinotBadgerPineconeYaacomo
DB-Engines blog posts

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2 June 2023, Matthias Gelbmann

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