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DBMS > Apache IoTDB vs. atoti vs. Hyprcubd

System Properties Comparison Apache IoTDB vs. atoti vs. Hyprcubd

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Editorial information provided by DB-Engines
NameApache IoTDB  Xexclude from comparisonatoti  Xexclude from comparisonHyprcubd  Xexclude from comparison
Hyprcubd seems to be discontinued. Therefore it 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 FlinkAn in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.Serverless Time Series DBMS
Primary database modelTime Series DBMSObject oriented DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.18
Rank#173  Overall
#15  Time Series DBMS
Score0.56
Rank#245  Overall
#10  Object oriented DBMS
Websiteiotdb.apache.orgatoti.iohyprcubd.com (offline)
Technical documentationiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmldocs.atoti.io
DeveloperApache Software FoundationActiveViamHyprcubd, Inc.
Initial release2018
Current release1.1.0, April 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercial infofree versions availablecommercial
Cloud-based only infoOnly available as a cloud servicenonoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaGo
Server operating systemsAll OS with a Java VM (>= 1.8)hosted
Data schemeyesyes
Typing infopredefined data types such as float or dateyesyes infotime, int, uint, float, string
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.nono
Secondary indexesyesno
SQL infoSupport of SQLSQL-like query languageMultidimensional Expressions (MDX)SQL-like query language
APIs and other access methodsJDBC
Native API
gRPC (https)
Supported programming languagesC
C#
C++
Go
Java
Python
Scala
Server-side scripts infoStored proceduresyesPythonno
Triggersyesno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by time range) + vertical partitioning (by deviceId)Sharding, horizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication methods; using Raft/IoTConsensus algorithm to ensure strong/eventual data consistency among multiple replicas
MapReduce infoOffers an API for user-defined Map/Reduce methodsIntegration with Hadoop and Sparknono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Strong Consistency with Raft
Eventual Consistency
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanono
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)no
Durability infoSupport for making data persistentyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesno
User concepts infoAccess controlyestoken access

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More resources
Apache IoTDBatotiHyprcubd
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