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DBMS > Apache IoTDB vs. EDB Postgres vs. H2GIS vs. LevelDB

System Properties Comparison Apache IoTDB vs. EDB Postgres vs. H2GIS vs. LevelDB

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Editorial information provided by DB-Engines
NameApache IoTDB  Xexclude from comparisonEDB Postgres  Xexclude from comparisonH2GIS  Xexclude from comparisonLevelDB  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 FlinkThe EDB Postgres Platform is an enterprise-class data management platform based on the open source database PostgreSQL with flexible deployment options and Oracle compatibility features, complemented by tool kits for management, integration, and migration.Spatial extension of H2Embeddable fast key-value storage library that provides an ordered mapping from string keys to string values
Primary database modelTime Series DBMSRelational DBMSSpatial DBMSKey-value store
Secondary database modelsDocument store
Spatial DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.18
Rank#173  Overall
#15  Time Series DBMS
Score1.90
Rank#135  Overall
#63  Relational DBMS
Score0.00
Rank#383  Overall
#7  Spatial DBMS
Score2.35
Rank#111  Overall
#19  Key-value stores
Websiteiotdb.apache.orgwww.enterprisedb.comwww.h2gis.orggithub.com/­google/­leveldb
Technical documentationiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmlwww.enterprisedb.com/­docswww.h2gis.org/­docs/­homegithub.com/­google/­leveldb/­blob/­main/­doc/­index.md
DeveloperApache Software FoundationEnterpriseDBCNRSGoogle
Initial release2018200520132011
Current release1.1.0, April 202314, December 20211.23, February 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercial infoBSD for PostgreSQL-componentsOpen Source infoLGPL 3.0Open Source infoBSD
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaCJavaC++
Server operating systemsAll OS with a Java VM (>= 1.8)Linux
Windows
Illumos
Linux
OS X
Windows
Data schemeyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesno
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.noyes infospecific XML-type available, but no XML query functionality.nono
Secondary indexesyesyesyesno
SQL infoSupport of SQLSQL-like query languageyes infostandard with numerous extensionsyesno
APIs and other access methodsJDBC
Native API
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesC
C#
C++
Go
Java
Python
Scala
.Net
C
C++
Delphi
Java
Perl
PHP
Python
Tcl
JavaC++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
Server-side scripts infoStored proceduresyesuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.yes infobased on H2no
Triggersyesyesyesno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by time range) + vertical partitioning (by deviceId)horizontal partitioning infoby hash, list or rangenonenone
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 replicationyes infobased on H2none
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 ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyesyesyes infowith automatic compression on writes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes
User concepts infoAccess controlyesfine grained access rights according to SQL-standardyes infobased on H2no

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More resources
Apache IoTDBEDB PostgresH2GISLevelDB
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