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DBMS > Heroic vs. Pinecone vs. Splunk

System Properties Comparison Heroic vs. Pinecone vs. Splunk

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Editorial information provided by DB-Engines
NameHeroic  Xexclude from comparisonPinecone  Xexclude from comparisonSplunk  Xexclude from comparison
DescriptionTime Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchA managed, cloud-native vector databaseAnalytics Platform for Big Data
Primary database modelTime Series DBMSVector DBMSSearch engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.51
Rank#255  Overall
#21  Time Series DBMS
Score3.16
Rank#95  Overall
#2  Vector DBMS
Score86.45
Rank#14  Overall
#2  Search engines
Websitegithub.com/­spotify/­heroicwww.pinecone.iowww.splunk.com
Technical documentationspotify.github.io/­heroicdocs.pinecone.io/­docs/­overviewdocs.splunk.com/­Documentation/­Splunk
DeveloperSpotifyPinecone Systems, IncSplunk Inc.
Initial release201420192003
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialcommercial infoLimited free edition and free developer edition available
Cloud-based only infoOnly available as a cloud servicenoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava
Server operating systemshostedLinux
OS X
Solaris
Windows
Data schemeschema-freeyes
Typing infopredefined data types such as float or dateyesString, 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.nonoyes
Secondary indexesyes infovia Elasticsearchyes
SQL infoSupport of SQLnonono infoSplunk Search Processing Language for search commands
APIs and other access methodsHQL (Heroic Query Language, a JSON-based language)
HTTP API
RESTful HTTP APIHTTP REST
Supported programming languagesPythonC#
Java
JavaScript
PHP
Python
Ruby
Server-side scripts infoStored proceduresnoyes
Triggersnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Eventual Consistency
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanono infoA 'Transaction' in Splunk has a different meaning: grouping related events into a single one for later searching
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
User concepts infoAccess controlAccess rights for users and roles

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More resources
HeroicPineconeSplunk
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