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DBMS > HEAVY.AI vs. Hypertable vs. KairosDB vs. ObjectBox

System Properties Comparison HEAVY.AI vs. Hypertable vs. KairosDB vs. ObjectBox

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Editorial information provided by DB-Engines
NameHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonHypertable  Xexclude from comparisonKairosDB  Xexclude from comparisonObjectBox  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.
DescriptionA high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareAn open source BigTable implementation based on distributed file systems such as HadoopDistributed Time Series DBMS based on Cassandra or H2Lightweight, fast on-device database for IoT, Mobile and Embedded devices, persisting and synchronising objects and vectors
Primary database modelRelational DBMSWide column storeTime Series DBMSObject oriented DBMS
Vector DBMS
Secondary database modelsSpatial DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.41
Rank#153  Overall
#71  Relational DBMS
Score0.60
Rank#238  Overall
#20  Time Series DBMS
Score1.08
Rank#179  Overall
#6  Object oriented DBMS
#9  Vector DBMS
Websitegithub.com/­heavyai/­heavydb
www.heavy.ai
github.com/­kairosdb/­kairosdbgithub.com/­objectbox
objectbox.io
Technical documentationdocs.heavy.aikairosdb.github.iodocs.objectbox.io
DeveloperHEAVY.AI, Inc.Hypertable Inc.ObjectBox Limited
Initial release2016200920132017
Current release5.10, January 20220.9.8.11, March 20161.2.2, November 20184.0 (May 2024)
License infoCommercial or Open SourceOpen Source infoApache Version 2; enterprise edition availableOpen Source infoGNU version 3. Commercial license availableOpen Source infoApache 2.0Bindings are released under Apache 2.0 infoApache License 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++ and CUDAC++JavaC and C++
Server operating systemsLinuxLinux
OS X
Windows infoan inofficial Windows port is available
Linux
OS X
Windows
Android
Any POSIX system
Docker
iOS
Linux
macOS
QNX
Windows
Data schemeyesschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesnoyesyes, plus "flex" map-like types
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 indexesnorestricted infoonly exact value or prefix value scansnoyes
SQL infoSupport of SQLyesnonono
APIs and other access methodsJDBC
ODBC
Thrift
Vega
C++ API
Thrift
Graphite protocol
HTTP REST
Telnet API
Proprietary native API
Supported programming languagesAll languages supporting JDBC/ODBC/Thrift
Python
C++
Java
Perl
PHP
Python
Ruby
Java
JavaScript infoNode.js
PHP
Python
C
C++
Dart (Flutter)
Go
Java
Kotlin
Python
Swift
Server-side scripts infoStored proceduresnononono
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesSharding infoRound robinShardingSharding infobased on Cassandranone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationselectable replication factor on file system levelselectable replication factor infobased on CassandraData sync between devices allowing occasional connected databases to work completely offline
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnono
User concepts infoAccess controlfine grained access rights according to SQL-standardnosimple password-based access controlyes
More information provided by the system vendor
HEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022HypertableKairosDBObjectBox
News

MongoDB Realm & Device Sync alternatives – ObjectBox
17 September 2024

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11 September 2024

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24 July 2024

Retrieval Augmented Generation (RAG) with vector databases: Expanding AI Capabilities
18 June 2024

The on-device Vector Database for Android and Java
29 May 2024

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More resources
HEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022HypertableKairosDBObjectBox
Recent citations in the news

Dr. Mike Flaxman, VP or Product Management at HEAVY.AI – Interview Series
19 September 2024, Unite.AI

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