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DBMS > Apache IoTDB vs. Drizzle vs. HEAVY.AI vs. PouchDB

System Properties Comparison Apache IoTDB vs. Drizzle vs. HEAVY.AI vs. PouchDB

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Editorial information provided by DB-Engines
NameApache IoTDB  Xexclude from comparisonDrizzle  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonPouchDB  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.A high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareJavaScript DBMS with an API inspired by CouchDB
Primary database modelTime Series DBMSRelational DBMSRelational DBMSDocument store
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.31
Rank#164  Overall
#14  Time Series DBMS
Score1.64
Rank#145  Overall
#67  Relational DBMS
Score2.34
Rank#112  Overall
#21  Document stores
Websiteiotdb.apache.orggithub.com/­heavyai/­heavydb
www.heavy.ai
pouchdb.com
Technical documentationiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmldocs.heavy.aipouchdb.com/­guides
DeveloperApache Software FoundationDrizzle project, originally started by Brian AkerHEAVY.AI, Inc.Apache Software Foundation
Initial release2018200820162012
Current release1.1.0, April 20237.2.4, September 20125.10, January 20227.1.1, June 2019
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoGNU GPLOpen Source infoApache Version 2; enterprise edition availableOpen Source
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++C++ and CUDAJavaScript
Server operating systemsAll OS with a Java VM (>= 1.8)FreeBSD
Linux
OS X
Linuxserver-less, requires a JavaScript environment (browser, Node.js)
Data schemeyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesno
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 indexesyesyesnoyes infovia views
SQL infoSupport of SQLSQL-like query languageyes infowith proprietary extensionsyesno
APIs and other access methodsJDBC
Native API
JDBCJDBC
ODBC
Thrift
Vega
HTTP REST infoonly for PouchDB Server
JavaScript API
Supported programming languagesC
C#
C++
Go
Java
Python
Scala
C
C++
Java
PHP
All languages supporting JDBC/ODBC/Thrift
Python
JavaScript
Server-side scripts infoStored proceduresyesnonoView functions in JavaScript
Triggersyesno infohooks for callbacks inside the server can be used.noyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by time range) + vertical partitioning (by deviceId)ShardingSharding infoRound robinSharding infowith a proxy-based framework, named couchdb-lounge
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
Multi-source replicationMulti-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
MapReduce infoOffers an API for user-defined Map/Reduce methodsIntegration with Hadoop and Sparknonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Strong Consistency with Raft
Immediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoby using IndexedDB, WebSQL or LevelDB as backend
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes
User concepts infoAccess controlyesPluggable authentication mechanisms infoe.g. LDAP, HTTPfine grained access rights according to SQL-standardno

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More resources
Apache IoTDBDrizzleHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022PouchDB
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