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DBMS > Apache IoTDB vs. BaseX vs. FeatureBase vs. HarperDB

System Properties Comparison Apache IoTDB vs. BaseX vs. FeatureBase vs. HarperDB

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Editorial information provided by DB-Engines
NameApache IoTDB  Xexclude from comparisonBaseX  Xexclude from comparisonFeatureBase  Xexclude from comparisonHarperDB  Xexclude from comparison
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 FlinkLight-weight Native XML DBMS with support for XQuery 3.0 and interactive GUI.Real-time database platform that powers real-time analytics and machine learning applications by simultaneously executing low-latency, high-throughput, and highly concurrent workloads.HarperDB takes the "stack" out of "tech stack" by combining an ultra-fast document-style data store, in-memory cache, real-time message broker, and your application components into a single distributed technology.
Primary database modelTime Series DBMSNative XML DBMSRelational DBMSDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.31
Rank#159  Overall
#14  Time Series DBMS
Score1.56
Rank#141  Overall
#4  Native XML DBMS
Score0.23
Rank#296  Overall
#134  Relational DBMS
Score0.55
Rank#243  Overall
#38  Document stores
Websiteiotdb.apache.orgbasex.orgwww.featurebase.comwww.harperdb.io
Technical documentationiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmldocs.basex.orgdocs.featurebase.comdocs.harperdb.io/­docs
DeveloperApache Software FoundationBaseX GmbHMolecula and Pilosa Open Source ContributorsHarperDB
Initial release2018200720172017
Current release1.1.0, April 202311.2, August 20242022, May 20223.1, August 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoBSD licensecommercialcommercial infofree community edition available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaGoNode.js
Server operating systemsAll OS with a Java VM (>= 1.8)Linux
OS X
Windows
Linux
macOS
Linux
OS X
Data schemeyesschema-freeyesdynamic schema
Typing infopredefined data types such as float or dateyesno infoXQuery supports typesyesyes infoJSON data 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 indexesyesyesnoyes
SQL infoSupport of SQLSQL-like query languagenoSQL queriesSQL-like data manipulation statements
APIs and other access methodsJDBC
Native API
Java API
RESTful HTTP API
RESTXQ
WebDAV
XML:DB
XQJ
gRPC
JDBC
Kafka Connector
ODBC
JDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
Supported programming languagesC
C#
C++
Go
Java
Python
Scala
Actionscript
C
C#
Haskell
Java
JavaScript infoNode.js
Lisp
Perl
PHP
Python
Qt
Rebol
Ruby
Scala
Visual Basic
Java
Python
.Net
C
C#
C++
ColdFusion
D
Dart
Delphi
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
MatLab
Objective C
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Rust
Scala
Swift
Server-side scripts infoStored proceduresyesyesCustom Functions infosince release 3.1
Triggersyesyes infovia eventsnono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by time range) + vertical partitioning (by deviceId)noneShardingA table resides as a whole on one (or more) nodes in a cluster
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication methods; using Raft/IoTConsensus algorithm to ensure strong/eventual data consistency among multiple replicasnoneyesyes infothe nodes on which a table resides can be defined
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
Immediate Consistency
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanomultiple readers, single writeryesAtomic execution of specific operations
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes, using Linux fsyncyes, using LMDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes
User concepts infoAccess controlyesUsers with fine-grained authorization concept on 4 levelsAccess rights for users and roles

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More resources
Apache IoTDBBaseXFeatureBaseHarperDB
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