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DBMS > Apache IoTDB vs. ReductStore vs. RocksDB

System Properties Comparison Apache IoTDB vs. ReductStore vs. RocksDB

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Editorial information provided by DB-Engines
NameApache IoTDB  Xexclude from comparisonReductStore  Xexclude from comparisonRocksDB  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 FlinkDesigned to manage unstructured time-series data efficiently, providing unique features such as storing time-stamped blobs with labels, customizable data retention policies, and a straightforward FIFO quota system.Embeddable persistent key-value store optimized for fast storage (flash and RAM)
Primary database modelTime Series DBMSTime Series DBMSKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.31
Rank#159  Overall
#14  Time Series DBMS
Score0.00
Rank#385  Overall
#40  Time Series DBMS
Score2.84
Rank#97  Overall
#16  Key-value stores
Websiteiotdb.apache.orggithub.com/­reductstore
www.reduct.store
rocksdb.org
Technical documentationiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmlwww.reduct.store/­docsgithub.com/­facebook/­rocksdb/­wiki
DeveloperApache Software FoundationReductStore LLCFacebook, Inc.
Initial release201820232013
Current release1.1.0, April 20231.9, March 20249.4.0, June 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoBusiness Source License 1.1Open Source infoBSD
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++, RustC++
Server operating systemsAll OS with a Java VM (>= 1.8)Docker
Linux
macOS
Windows
Linux
Data schemeyesschema-free
Typing infopredefined data types such as float or dateyesno
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.nono
Secondary indexesyesno
SQL infoSupport of SQLSQL-like query languageno
APIs and other access methodsJDBC
Native API
HTTP APIC++ API
Java API
Supported programming languagesC
C#
C++
Go
Java
Python
Scala
C++
JavaScript (Node.js)
Python
Rust
C
C++
Go
Java
Perl
Python
Ruby
Server-side scripts infoStored proceduresyesno
Triggersyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by time range) + vertical partitioning (by deviceId)horizontal 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 replicasyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsIntegration with Hadoop and Sparkno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Strong Consistency with Raft
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyes
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlyesno

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More resources
Apache IoTDBReductStoreRocksDB
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