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DBMS > Apache IoTDB vs. BigchainDB vs. LevelDB vs. RocksDB vs. Sequoiadb

System Properties Comparison Apache IoTDB vs. BigchainDB vs. LevelDB vs. RocksDB vs. Sequoiadb

Editorial information provided by DB-Engines
NameApache IoTDB  Xexclude from comparisonBigchainDB  Xexclude from comparisonLevelDB  Xexclude from comparisonRocksDB  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 FlinkBigchainDB is scalable blockchain database offering decentralization, immutability and native assetsEmbeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesEmbeddable persistent key-value store optimized for fast storage (flash and RAM)NewSQL database with distributed OLTP and SQL
Primary database modelTime Series DBMSDocument storeKey-value storeKey-value storeDocument store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.31
Rank#164  Overall
#14  Time Series DBMS
Score0.85
Rank#208  Overall
#35  Document stores
Score2.25
Rank#115  Overall
#19  Key-value stores
Score3.41
Rank#86  Overall
#11  Key-value stores
Score0.50
Rank#258  Overall
#41  Document stores
#120  Relational DBMS
Websiteiotdb.apache.orgwww.bigchaindb.comgithub.com/­google/­leveldbrocksdb.orgwww.sequoiadb.com
Technical documentationiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmlbigchaindb.readthedocs.io/­en/­latestgithub.com/­google/­leveldb/­blob/­main/­doc/­index.mdgithub.com/­facebook/­rocksdb/­wikiwww.sequoiadb.com/­en/­index.php?m=Files&a=index
DeveloperApache Software FoundationGoogleFacebook, Inc.Sequoiadb Ltd.
Initial release20182016201120132013
Current release1.1.0, April 20231.23, February 20219.2.1, May 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoAGPL v3Open Source infoBSDOpen Source infoBSDOpen Source infoServer: AGPL; Client: Apache V2
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaPythonC++C++C++
Server operating systemsAll OS with a Java VM (>= 1.8)LinuxIllumos
Linux
OS X
Windows
LinuxLinux
Data schemeyesschema-freeschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyesnononoyes 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.nonononono
Secondary indexesyesnonoyes
SQL infoSupport of SQLSQL-like query languagenononoSQL-like query language
APIs and other access methodsJDBC
Native API
CLI Client
RESTful HTTP API
C++ API
Java API
proprietary protocol using JSON
Supported programming languagesC
C#
C++
Go
Java
Python
Scala
Go
Haskell
Java
JavaScript
Python
Ruby
C++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
C
C++
Go
Java
Perl
Python
Ruby
.Net
C++
Java
PHP
Python
Server-side scripts infoStored proceduresyesnonoJavaScript
Triggersyesnono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by time range) + vertical partitioning (by deviceId)Shardingnonehorizontal partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication methods; using Raft/IoTConsensus algorithm to ensure strong/eventual data consistency among multiple replicasselectable replication factornoneyesSource-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
Immediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoyesDocument is locked during a transaction
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes,with MongoDB ord RethinkDByes infowith automatic compression on writesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesno
User concepts infoAccess controlyesyesnonosimple password-based access control

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Apache IoTDBBigchainDBLevelDBRocksDBSequoiadb
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