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DBMS > Apache IoTDB vs. Hyprcubd vs. OpenEdge vs. OpenTSDB vs. TDSQL for MySQL

System Properties Comparison Apache IoTDB vs. Hyprcubd vs. OpenEdge vs. OpenTSDB vs. TDSQL for MySQL

Editorial information provided by DB-Engines
NameApache IoTDB  Xexclude from comparisonHyprcubd  Xexclude from comparisonOpenEdge  Xexclude from comparisonOpenTSDB  Xexclude from comparisonTDSQL for MySQL  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 FlinkServerless Time Series DBMSApplication development environment with integrated database management systemScalable Time Series DBMS based on HBaseA high-performance distributed database management system with features such as automatic sharding, intelligent operation and maintenance, elastic scalability without downtime, and enterprise-grade security. It is highly compatible with MySQL.
Primary database modelTime Series DBMSTime Series DBMSRelational DBMSTime Series DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.31
Rank#164  Overall
#14  Time Series DBMS
Score3.45
Rank#85  Overall
#46  Relational DBMS
Score1.68
Rank#142  Overall
#12  Time Series DBMS
Score0.85
Rank#207  Overall
#97  Relational DBMS
Websiteiotdb.apache.orghyprcubd.com (offline)www.progress.com/­openedgeopentsdb.netwww.tencentcloud.com/­products/­dcdb
Technical documentationiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmldocumentation.progress.com/­output/­ua/­OpenEdge_latestopentsdb.net/­docs/­build/­html/­index.htmlwww.tencentcloud.com/­document/­product/­1042
DeveloperApache Software FoundationHyprcubd, Inc.Progress Software Corporationcurrently maintained by Yahoo and other contributorsTencent
Initial release2018198420112013
Current release1.1.0, April 2023OpenEdge 12.2, March 2020
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialcommercialOpen Source infoLGPLcommercial
Cloud-based only infoOnly available as a cloud servicenoyesnonoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaGoJava
Server operating systemsAll OS with a Java VM (>= 1.8)hostedAIX
HP-UX
Linux
Solaris
Windows
Linux
Windows
hosted
Data schemeyesyesyesschema-freeyes
Typing infopredefined data types such as float or dateyesyes infotime, int, uint, float, stringyesnumeric data for metrics, strings for tagsyes
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.nonoyesnono
Secondary indexesyesnoyesnoyes
SQL infoSupport of SQLSQL-like query languageSQL-like query languageyes infoclose to SQL 92noyes
APIs and other access methodsJDBC
Native API
gRPC (https)JDBC
ODBC
HTTP API
Telnet API
JDBC
ODBC
Supported programming languagesC
C#
C++
Go
Java
Python
Scala
Progress proprietary ABL (Advanced Business Language)Erlang
Go
Java
Python
R
Ruby
C
C#
C++
Java
PHP
Python
Ruby
Server-side scripts infoStored proceduresyesnoyesnoyes
Triggersyesnoyesnoyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by time range) + vertical partitioning (by deviceId)horizontal partitioning infosince Version 11.4Sharding infobased on HBaseAutomatic 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 replicasSource-replica replicationselectable replication factor infobased on HBaseMulti-source replication
Source-replica replication
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 ConsistencyImmediate ConsistencyImmediate Consistency infobased on HBaseImmediate Consistency
Foreign keys infoReferential integritynonoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesnoyesyesyes
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.yesnononono
User concepts infoAccess controlyestoken accessUsers and groupsnoUsers with fine-grained authorization concept

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More resources
Apache IoTDBHyprcubdOpenEdgeOpenTSDBTDSQL for MySQL
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