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DBMS > Apache IoTDB vs. Cloudflare Workers KV vs. GeoSpock vs. JaguarDB vs. Sadas Engine

System Properties Comparison Apache IoTDB vs. Cloudflare Workers KV vs. GeoSpock vs. JaguarDB vs. Sadas Engine

Editorial information provided by DB-Engines
NameApache IoTDB  Xexclude from comparisonCloudflare Workers KV  Xexclude from comparisonGeoSpock  Xexclude from comparisonJaguarDB  Xexclude from comparisonSadas Engine  Xexclude from comparison
GeoSpock seems to be discontinued. Therefore it will be 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 FlinkA global, low-latency, key-value store for applications on Cloudflare with exceptionally high read volumes and low-latency.Spatial and temporal data processing engine for extreme data scalePerformant, highly scalable DBMS for AI and IoT applicationsSADAS Engine is a columnar DBMS specifically designed for high performance in data warehouse environments
Primary database modelTime Series DBMSKey-value storeRelational DBMSKey-value store
Vector DBMS
Relational DBMS
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.31
Rank#164  Overall
#14  Time Series DBMS
Score0.39
Rank#274  Overall
#39  Key-value stores
Score0.06
Rank#381  Overall
#59  Key-value stores
#14  Vector DBMS
Score0.07
Rank#373  Overall
#157  Relational DBMS
Websiteiotdb.apache.orgwww.cloudflare.com/­developer-platform/­workers-kvgeospock.comwww.jaguardb.comwww.sadasengine.com
Technical documentationiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmldevelopers.cloudflare.com/­kv/­apiwww.jaguardb.com/­support.htmlwww.sadasengine.com/­en/­sadas-engine-download-free-trial-and-documentation/­#documentation
DeveloperApache Software FoundationCloudflareGeoSpockDataJaguar, Inc.SADAS s.r.l.
Initial release2018201820152006
Current release1.1.0, April 20232.0, September 20193.3 July 20238.0
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialcommercialOpen Source infoGPL V3.0commercial infofree trial version available
Cloud-based only infoOnly available as a cloud servicenoyesyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJava, JavascriptC++ infothe server part. Clients available in other languagesC++
Server operating systemsAll OS with a Java VM (>= 1.8)hostedhostedLinuxAIX
Linux
Windows
Data schemeyesschema-freeyesyesyes
Typing infopredefined data types such as float or dateyesnoyesyesyes
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 indexesyesnotemporal, categoricalyesyes
SQL infoSupport of SQLSQL-like query languagenoANSI SQL for query only (using Presto)A subset of ANSI SQL is implemented infobut no views, foreign keys, triggersyes
APIs and other access methodsJDBC
Native API
HTTP REST
Proprietary protocol
JDBCJDBC
ODBC
JDBC
ODBC
Proprietary protocol
Supported programming languagesC
C#
C++
Go
Java
Python
Scala
C
C++
Dart
JavaScript
Kotlin
Python
Rust
Scala
C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
.Net
C
C#
C++
Groovy
Java
PHP
Python
Server-side scripts infoStored proceduresyesnononono
Triggersyesnononono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by time range) + vertical partitioning (by deviceId)Automatic shardingShardinghorizontal 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 replicasyesMulti-source replicationnone
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
Eventual ConsistencyImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononono
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.yesnononoyes infomanaged by 'Learn by Usage'
User concepts infoAccess controlyesAccess rights for users can be defined per tablerights management via user accountsAccess rights for users, groups and roles according to SQL-standard

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More resources
Apache IoTDBCloudflare Workers KVGeoSpockJaguarDBSadas Engine
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