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DBMS > Apache IoTDB vs. BaseX vs. LevelDB vs. Manticore Search

System Properties Comparison Apache IoTDB vs. BaseX vs. LevelDB vs. Manticore Search

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Editorial information provided by DB-Engines
NameApache IoTDB  Xexclude from comparisonBaseX  Xexclude from comparisonLevelDB  Xexclude from comparisonManticore Search  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.Embeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesMulti-storage database for search, including full-text search.
Primary database modelTime Series DBMSNative XML DBMSKey-value storeSearch engine
Secondary database modelsTime Series DBMS infousing the Manticore Columnar Library
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.31
Rank#164  Overall
#14  Time Series DBMS
Score1.84
Rank#135  Overall
#4  Native XML DBMS
Score2.25
Rank#115  Overall
#19  Key-value stores
Score0.29
Rank#302  Overall
#21  Search engines
Websiteiotdb.apache.orgbasex.orggithub.com/­google/­leveldbmanticoresearch.com
Technical documentationiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmldocs.basex.orggithub.com/­google/­leveldb/­blob/­main/­doc/­index.mdmanual.manticoresearch.com
DeveloperApache Software FoundationBaseX GmbHGoogleManticore Software
Initial release2018200720112017
Current release1.1.0, April 202311.0, June 20241.23, February 20216.0, February 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoBSD licenseOpen Source infoBSDOpen Source infoGPL version 2
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaC++C++
Server operating systemsAll OS with a Java VM (>= 1.8)Linux
OS X
Windows
Illumos
Linux
OS X
Windows
FreeBSD
Linux
macOS
Windows
Data schemeyesschema-freeschema-freeFixed schema
Typing infopredefined data types such as float or dateyesno infoXQuery supports typesnoInt, Bigint, Float, Timestamp, Bit, Int array, Bigint array, JSON, Boolean
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.nonoCan index from XML
Secondary indexesyesyesnoyes infofull-text index on all search fields
SQL infoSupport of SQLSQL-like query languagenonoSQL-like query language
APIs and other access methodsJDBC
Native API
Java API
RESTful HTTP API
RESTXQ
WebDAV
XML:DB
XQJ
Binary API
RESTful HTTP/JSON API
RESTful HTTP/SQL API
SQL over MySQL
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
C++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
Elixir
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Server-side scripts infoStored proceduresyesyesnouser defined functions
Triggersyesyes infovia eventsnono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by time range) + vertical partitioning (by deviceId)nonenoneSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication methods; using Raft/IoTConsensus algorithm to ensure strong/eventual data consistency among multiple replicasnonenoneSynchronous replication based on Galera library
MapReduce infoOffers an API for user-defined Map/Reduce methodsIntegration with Hadoop and Sparknonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Strong Consistency with Raft
Immediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanomultiple readers, single writernoyes infoisolated transactions for atomic changes and binary logging for safe writes
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infowith automatic compression on writesyes infoThe original contents of fields are not stored in the Manticore index.
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes
User concepts infoAccess controlyesUsers with fine-grained authorization concept on 4 levelsnono

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More resources
Apache IoTDBBaseXLevelDBManticore Search
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