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DBMS > Apache IoTDB vs. Fujitsu Enterprise Postgres vs. LevelDB vs. Sequoiadb

System Properties Comparison Apache IoTDB vs. Fujitsu Enterprise Postgres vs. LevelDB vs. Sequoiadb

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Editorial information provided by DB-Engines
NameApache IoTDB  Xexclude from comparisonFujitsu Enterprise Postgres  Xexclude from comparisonLevelDB  Xexclude from comparisonSequoiadb  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 FlinkEnterprise-grade PostgreSQL-based DBMS with security enhancements such as Transparent Data Encryption and Data Masking, plus high-availability and performance improvement features.Embeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesNewSQL database with distributed OLTP and SQL
Primary database modelTime Series DBMSRelational DBMSKey-value storeDocument store
Relational 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
Score0.37
Rank#278  Overall
#128  Relational DBMS
Score2.25
Rank#115  Overall
#19  Key-value stores
Score0.50
Rank#258  Overall
#41  Document stores
#120  Relational DBMS
Websiteiotdb.apache.orgwww.postgresql.fastware.comgithub.com/­google/­leveldbwww.sequoiadb.com
Technical documentationiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmlwww.postgresql.fastware.com/­product-manualsgithub.com/­google/­leveldb/­blob/­main/­doc/­index.mdwww.sequoiadb.com/­en/­index.php?m=Files&a=index
DeveloperApache Software FoundationPostgreSQL Global Development Group, Fujitsu Australia Software TechnologyGoogleSequoiadb Ltd.
Initial release201820112013
Current release1.1.0, April 2023Fujitsu Enterprise Postgres 14, January 20221.23, February 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Source infoBSDOpen Source infoServer: AGPL; Client: Apache V2
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaCC++C++
Server operating systemsAll OS with a Java VM (>= 1.8)Linux
Windows
Illumos
Linux
OS X
Windows
Linux
Data schemeyesyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesnoyes infooid, date, timestamp, binary, regex
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 languageyesnoSQL-like query language
APIs and other access methodsJDBC
Native API
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
proprietary protocol using JSON
Supported programming languagesC
C#
C++
Go
Java
Python
Scala
.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
.Net
C++
Java
PHP
Python
Server-side scripts infoStored proceduresyesuser defined functionsnoJavaScript
Triggersyesyesnono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by time range) + vertical partitioning (by deviceId)partitioning by range, list and by hashnoneSharding
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 replicationnoneSource-replica replication
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 ConsistencyEventual Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoDocument is locked during a transaction
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentyesyesyes infowith automatic compression on writesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlyesfine grained access rights according to SQL-standardnosimple password-based access control

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Apache IoTDBFujitsu Enterprise PostgresLevelDBSequoiadb
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