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DBMS > Derby vs. KeyDB vs. Microsoft Azure Table Storage vs. SiteWhere

System Properties Comparison Derby vs. KeyDB vs. Microsoft Azure Table Storage vs. SiteWhere

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Editorial information provided by DB-Engines
NameDerby infooften called Apache Derby, originally IBM Cloudscape; contained in the Java SDK as JavaDB  Xexclude from comparisonKeyDB  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparisonSiteWhere  Xexclude from comparison
DescriptionFull-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.An ultra-fast, open source Key-value store fully compatible with Redis API, modules, and protocolsA Wide Column Store for rapid development using massive semi-structured datasetsM2M integration platform for persisting/querying time series data
Primary database modelRelational DBMSKey-value storeWide column storeTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.71
Rank#69  Overall
#37  Relational DBMS
Score0.71
Rank#226  Overall
#33  Key-value stores
Score4.48
Rank#75  Overall
#6  Wide column stores
Score0.06
Rank#356  Overall
#35  Time Series DBMS
Websitedb.apache.org/­derbygithub.com/­Snapchat/­KeyDB
keydb.dev
azure.microsoft.com/­en-us/­services/­storage/­tablesgithub.com/­sitewhere/­sitewhere
Technical documentationdb.apache.org/­derby/­manuals/­index.htmldocs.keydb.devsitewhere1.sitewhere.io/­index.html
DeveloperApache Software FoundationEQ Alpha Technology Ltd.MicrosoftSiteWhere
Initial release1997201920122010
Current release10.17.1.0, November 2023
License infoCommercial or Open SourceOpen Source infoApache version 2Open Source infoBSD-3commercialOpen Source infoCommon Public Attribution License Version 1.0
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++Java
Server operating systemsAll OS with a Java VMLinuxhostedLinux
OS X
Windows
Data schemeyesschema-freeschema-freepredefined scheme
Typing infopredefined data types such as float or dateyespartial infoSupported data types are strings, hashes, lists, sets and sorted sets, bit arrays, hyperloglogs and geospatial indexesyesyes
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.yesnonono
Secondary indexesyesyes infoby using the Redis Search modulenono
SQL infoSupport of SQLyesnonono
APIs and other access methodsJDBCProprietary protocol infoRESP - REdis Serialization ProtocoRESTful HTTP APIHTTP REST
Supported programming languagesJavaC
C#
C++
Clojure
Crystal
D
Dart
Elixir
Erlang
Fancy
Go
Haskell
Haxe
Java
JavaScript (Node.js)
Lisp
Lua
MatLab
Objective-C
OCaml
Pascal
Perl
PHP
Prolog
Pure Data
Python
R
Rebol
Ruby
Rust
Scala
Scheme
Smalltalk
Swift
Tcl
Visual Basic
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresJava Stored ProceduresLuano
Triggersyesnono
Partitioning methods infoMethods for storing different data on different nodesnoneShardingSharding infoImplicit feature of the cloud serviceSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-source replication
Source-replica replication
yes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.selectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Strong eventual consistency with CRDTs
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDOptimistic locking, atomic execution of commands blocks and scriptsoptimistic lockingno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infoConfigurable mechanisms for persistency via snapshots and/or operations logsyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesnono
User concepts infoAccess controlfine grained access rights according to SQL-standardsimple password-based access control and ACLAccess rights based on private key authentication or shared access signaturesUsers with fine-grained authorization concept

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More resources
Derby infooften called Apache Derby, originally IBM Cloudscape; contained in the Java SDK as JavaDBKeyDBMicrosoft Azure Table StorageSiteWhere
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