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DBMS > Apache IoTDB vs. HEAVY.AI vs. Hypertable vs. searchxml vs. SwayDB

System Properties Comparison Apache IoTDB vs. HEAVY.AI vs. Hypertable vs. searchxml vs. SwayDB

Editorial information provided by DB-Engines
NameApache IoTDB  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonHypertable  Xexclude from comparisonsearchxml  Xexclude from comparisonSwayDB  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed 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 FlinkA 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 HadoopDBMS for structured and unstructured content wrapped with an application serverAn embeddable, non-blocking, type-safe key-value store for single or multiple disks and in-memory storage
Primary database modelTime Series DBMSRelational DBMSWide column storeNative XML DBMS
Search engine
Key-value 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
Score0.03
Rank#390  Overall
#7  Native XML DBMS
#24  Search engines
Score0.04
Rank#387  Overall
#61  Key-value stores
Websiteiotdb.apache.orggithub.com/­heavyai/­heavydb
www.heavy.ai
www.searchxml.net/­category/­productsswaydb.simer.au
Technical documentationiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmldocs.heavy.aiwww.searchxml.net/­support/­handouts
DeveloperApache Software FoundationHEAVY.AI, Inc.Hypertable Inc.informationpartners gmbhSimer Plaha
Initial release20182016200920152018
Current release1.1.0, April 20235.10, January 20220.9.8.11, March 20161.0
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache Version 2; enterprise edition availableOpen Source infoGNU version 3. Commercial license availablecommercialOpen Source infoGNU Affero GPL V3.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++ and CUDAC++C++Scala
Server operating systemsAll OS with a Java VM (>= 1.8)LinuxLinux
OS X
Windows infoan inofficial Windows port is available
Windows
Data schemeyesyesschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesnoyesno
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.nonoyesno
Secondary indexesyesnorestricted infoonly exact value or prefix value scansyesno
SQL infoSupport of SQLSQL-like query languageyesnonono
APIs and other access methodsJDBC
Native API
JDBC
ODBC
Thrift
Vega
C++ API
Thrift
RESTful HTTP API
WebDAV
XQuery
XSLT
Supported programming languagesC
C#
C++
Go
Java
Python
Scala
All languages supporting JDBC/ODBC/Thrift
Python
C++
Java
Perl
PHP
Python
Ruby
C++ infomost other programming languages supported via APIsJava
Kotlin
Scala
Server-side scripts infoStored proceduresyesnonoyes infoon the application serverno
Triggersyesnononono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by time range) + vertical partitioning (by deviceId)Sharding infoRound robinShardingnonenone
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 replicationselectable replication factor on file system levelyes infosychronisation to multiple collectionsnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsIntegration with Hadoop and Sparknoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Strong Consistency with Raft
Immediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononomultiple readers, single writerAtomic execution of operations
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.yesyesnoyes
User concepts infoAccess controlyesfine grained access rights according to SQL-standardnoDomain, group and role-based access control at the document level and for application servicesno

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