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DBMS > Apache IoTDB vs. Atos Standard Common Repository vs. BoltDB vs. IRONdb vs. RocksDB

System Properties Comparison Apache IoTDB vs. Atos Standard Common Repository vs. BoltDB vs. IRONdb vs. RocksDB

Editorial information provided by DB-Engines
NameApache IoTDB  Xexclude from comparisonAtos Standard Common Repository  Xexclude from comparisonBoltDB  Xexclude from comparisonIRONdb  Xexclude from comparisonRocksDB  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.IRONdb seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
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 FlinkHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksAn embedded key-value store for Go.A distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicityEmbeddable persistent key-value store optimized for fast storage (flash and RAM)
Primary database modelTime Series DBMSDocument store
Key-value store
Key-value storeTime Series DBMSKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.31
Rank#164  Overall
#14  Time Series DBMS
Score0.80
Rank#215  Overall
#31  Key-value stores
Score3.41
Rank#86  Overall
#11  Key-value stores
Websiteiotdb.apache.orgatos.net/en/convergence-creators/portfolio/standard-common-repositorygithub.com/­boltdb/­boltwww.circonus.com/solutions/time-series-database/rocksdb.org
Technical documentationiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmldocs.circonus.com/irondb/category/getting-startedgithub.com/­facebook/­rocksdb/­wiki
DeveloperApache Software FoundationAtos Convergence CreatorsCirconus LLC.Facebook, Inc.
Initial release20182016201320172013
Current release1.1.0, April 20231703V0.10.20, January 20189.2.1, May 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Source infoMIT LicensecommercialOpen Source infoBSD
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 languageJavaJavaGoC and C++C++
Server operating systemsAll OS with a Java VM (>= 1.8)LinuxBSD
Linux
OS X
Solaris
Windows
LinuxLinux
Data schemeyesSchema and schema-less with LDAP viewsschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyesoptionalnoyes infotext, numeric, histogramsno
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.noyesnonono
Secondary indexesyesyesnonono
SQL infoSupport of SQLSQL-like query languagenonoSQL-like query language (Circonus Analytics Query Language: CAQL)no
APIs and other access methodsJDBC
Native API
LDAPHTTP APIC++ API
Java API
Supported programming languagesC
C#
C++
Go
Java
Python
Scala
All languages with LDAP bindingsGo.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Lua
Perl
PHP
Python
R
Ruby
Rust
Scala
C
C++
Go
Java
Perl
Python
Ruby
Server-side scripts infoStored proceduresyesnonoyes, in Luano
Triggersyesyesnono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by time range) + vertical partitioning (by deviceId)Sharding infocell divisionnoneAutomatic, metric affinity per nodehorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication methods; using Raft/IoTConsensus algorithm to ensure strong/eventual data consistency among multiple replicasyesnoneconfigurable replication factor, datacenter awareyes
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 or Eventual Consistency depending on configurationnoneImmediate consistency per node, eventual consistency across nodes
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoAtomic execution of specific operationsyesnoyes
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesnonoyes
User concepts infoAccess controlyesLDAP bind authenticationnonono

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More resources
Apache IoTDBAtos Standard Common RepositoryBoltDBIRONdbRocksDB
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