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DBMS > Heroic vs. Kyligence Enterprise vs. Pinecone

System Properties Comparison Heroic vs. Kyligence Enterprise vs. Pinecone

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Editorial information provided by DB-Engines
NameHeroic  Xexclude from comparisonKyligence Enterprise  Xexclude from comparisonPinecone  Xexclude from comparison
DescriptionTime Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchA distributed analytics engine for big data, built on top of Apache KylinA managed, cloud-native vector database
Primary database modelTime Series DBMSRelational DBMSVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.51
Rank#255  Overall
#21  Time Series DBMS
Score0.40
Rank#269  Overall
#124  Relational DBMS
Score3.16
Rank#95  Overall
#2  Vector DBMS
Websitegithub.com/­spotify/­heroickyligence.io/­kyligence-enterprisewww.pinecone.io
Technical documentationspotify.github.io/­heroicdocs.pinecone.io/­docs/­overview
DeveloperSpotifyKyligence, Inc.Pinecone Systems, Inc
Initial release201420162019
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialcommercial
Cloud-based only infoOnly available as a cloud servicenonoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJava
Server operating systemsLinuxhosted
Data schemeschema-freeyes
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 indexesyes infovia Elasticsearchyes
SQL infoSupport of SQLnoANSI SQL for queries (using Apache Calcite)no
APIs and other access methodsHQL (Heroic Query Language, a JSON-based language)
HTTP API
JDBC
ODBC
RESTful HTTP API
RESTful HTTP API
Supported programming languagesPython
Server-side scripts infoStored proceduresno
Triggersno
Partitioning methods infoMethods for storing different data on different nodesSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integrityno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano
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.nonono

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More resources
HeroicKyligence EnterprisePinecone
DB-Engines blog posts

Vector databases
2 June 2023, Matthias Gelbmann

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