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DBMS > Apache IoTDB vs. Drizzle vs. Heroic vs. Kinetica vs. Rockset

System Properties Comparison Apache IoTDB vs. Drizzle vs. Heroic vs. Kinetica vs. Rockset

Editorial information provided by DB-Engines
NameApache IoTDB  Xexclude from comparisonDrizzle  Xexclude from comparisonHeroic  Xexclude from comparisonKinetica  Xexclude from comparisonRockset  Xexclude from comparison
Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.
DescriptionAn IoT native database with high performance for data management and analysis, deployable on the edge and the cloud and integrated with Hadoop, Spark and FlinkMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.Time Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchFully vectorized database across both GPUs and CPUsA scalable, reliable search and analytics service in the cloud, built on RocksDB
Primary database modelTime Series DBMSRelational DBMSTime Series DBMSRelational DBMSDocument store
Secondary database modelsSpatial DBMS
Time Series DBMS
Relational DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.31
Rank#159  Overall
#14  Time Series DBMS
Score0.13
Rank#335  Overall
#29  Time Series DBMS
Score0.42
Rank#261  Overall
#120  Relational DBMS
Score1.07
Rank#180  Overall
#31  Document stores
Websiteiotdb.apache.orggithub.com/­spotify/­heroicwww.kinetica.comrockset.com
Technical documentationiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmlspotify.github.io/­heroicdocs.kinetica.comdocs.rockset.com
DeveloperApache Software FoundationDrizzle project, originally started by Brian AkerSpotifyKineticaRockset
Initial release20182008201420122019
Current release1.1.0, April 20237.2.4, September 20127.1, August 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoGNU GPLOpen Source infoApache 2.0commercialcommercial
Cloud-based only infoOnly available as a cloud servicenonononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++JavaC, C++C++
Server operating systemsAll OS with a Java VM (>= 1.8)FreeBSD
Linux
OS X
Linuxhosted
Data schemeyesyesschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyesdynamic typing
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.nononono infoingestion from XML files supported
Secondary indexesyesyesyes infovia Elasticsearchyesall fields are automatically indexed
SQL infoSupport of SQLSQL-like query languageyes infowith proprietary extensionsnoSQL-like DML and DDL statementsRead-only SQL queries, including JOINs
APIs and other access methodsJDBC
Native API
JDBCHQL (Heroic Query Language, a JSON-based language)
HTTP API
JDBC
ODBC
RESTful HTTP API
HTTP REST
Supported programming languagesC
C#
C++
Go
Java
Python
Scala
C
C++
Java
PHP
C++
Java
JavaScript (Node.js)
Python
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresyesnonouser defined functionsno
Triggersyesno infohooks for callbacks inside the server can be used.noyes infotriggers when inserted values for one or more columns fall within a specified rangeno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by time range) + vertical partitioning (by deviceId)ShardingShardingShardingAutomatic sharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication methods; using Raft/IoTConsensus algorithm to ensure strong/eventual data consistency among multiple replicasMulti-source replication
Source-replica replication
yesSource-replica replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsIntegration with Hadoop and Sparknononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Strong Consistency with Raft
Eventual Consistency
Immediate Consistency
Immediate Consistency or Eventual Consistency depending on configurationEventual Consistency
Foreign keys infoReferential integritynoyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnonono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes infoGPU vRAM or System RAM
User concepts infoAccess controlyesPluggable authentication mechanisms infoe.g. LDAP, HTTPAccess rights for users and roles on table levelAccess rights for users and organizations can be defined via Rockset console

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More resources
Apache IoTDBDrizzleHeroicKineticaRockset
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