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DBMS > SiteWhere vs. Speedb vs. Stardog vs. Tkrzw

System Properties Comparison SiteWhere vs. Speedb vs. Stardog vs. Tkrzw

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Editorial information provided by DB-Engines
NameSiteWhere  Xexclude from comparisonSpeedb  Xexclude from comparisonStardog  Xexclude from comparisonTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet  Xexclude from comparison
DescriptionM2M integration platform for persisting/querying time series dataAn embeddable, high performance key-value store optimized for write-intensive workloads, which can be used as a drop-in replacement for RocksDBEnterprise Knowledge Graph platform and graph DBMS with high availability, high performance reasoning, and virtualizationA concept of libraries, allowing an application program to store and query key-value pairs in a file. Successor of Tokyo Cabinet and Kyoto Cabinet
Primary database modelTime Series DBMSKey-value storeGraph DBMS
RDF store
Key-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.06
Rank#383  Overall
#43  Time Series DBMS
Score0.26
Rank#310  Overall
#45  Key-value stores
Score2.07
Rank#122  Overall
#11  Graph DBMS
#6  RDF stores
Score0.07
Rank#372  Overall
#57  Key-value stores
Websitegithub.com/­sitewhere/­sitewherewww.speedb.iowww.stardog.comdbmx.net/­tkrzw
Technical documentationsitewhere1.sitewhere.io/­index.htmldocs.stardog.com
DeveloperSiteWhereSpeedbStardog-UnionMikio Hirabayashi
Initial release2010202020102020
Current release7.3.0, May 20200.9.3, August 2020
License infoCommercial or Open SourceOpen Source infoCommon Public Attribution License Version 1.0Open Source infoApache Version 2.0; commercial license availablecommercial info60-day fully-featured trial license; 1-year fully-featured non-commercial use license for academics/studentsOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++JavaC++
Server operating systemsLinux
OS X
Windows
Linux
Windows
Linux
macOS
Windows
Linux
macOS
Data schemepredefined schemeschema-freeschema-free and OWL/RDFS-schema supportschema-free
Typing infopredefined data types such as float or dateyesnoyesno
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.nonono infoImport/export of XML data possibleno
Secondary indexesnonoyes infosupports real-time indexing in full-text and geospatial
SQL infoSupport of SQLnonoYes, compatible with all major SQL variants through dedicated BI/SQL Serverno
APIs and other access methodsHTTP RESTGraphQL query language
HTTP API
Jena RDF API
OWL
RDF4J API
Sesame REST HTTP Protocol
SNARL
SPARQL
Spring Data
Stardog Studio
TinkerPop 3
Supported programming languagesC
C++
Go
Java
Perl
Python
Ruby
.Net
Clojure
Groovy
Java
JavaScript
Python
Ruby
C++
Java
Python
Ruby
Server-side scripts infoStored proceduresnouser defined functions and aggregates, HTTP Server extensions in Javano
Triggersyes infovia event handlersno
Partitioning methods infoMethods for storing different data on different nodesSharding infobased on HBasehorizontal partitioningnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infobased on HBaseyesMulti-source replication in HA-Clusternone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency in HA-ClusterImmediate Consistency
Foreign keys infoReferential integritynonoyes inforelationships in graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyesACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesyes infousing specific database classes
User concepts infoAccess controlUsers with fine-grained authorization conceptnoAccess rights for users and rolesno
More information provided by the system vendor
SiteWhereSpeedbStardogTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet
Specific characteristicsSpeedb is an embedded key-value storage engine for versatile use cases. It was designed...
» more
Competitive advantagesSpeedb Open-source rebases on RocksDB's latest versions, with enhanced capabilities...
» more
Licensing and pricing modelsOpen source - Speedb OSS is released under an Apache license and can be found on...
» more

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More resources
SiteWhereSpeedbStardogTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet
Recent citations in the news

SiteWhere: An open platform for connected devices
11 July 2017, Open Source For You

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9 March 2023, H2S Media

provided by Google News

Redis switches licenses, acquires Speedb to go beyond its core in-memory database
21 March 2024, TechCrunch

Redis acquires storage engine startup Speedb to enhance its open-source database
21 March 2024, SiliconANGLE News

Redis Acquires Speedb, Expanding Its Data Platform Capabilities Beyond DRAM
22 March 2024, Datanami

Redis expands data management capabilities with Speedb acquisition – Blocks and Files
22 March 2024, Blocks and Files

Redis Acquires Speedb to Supercharge End-to-End Application Performance at Lower Cost
21 March 2024, GlobeNewswire

provided by Google News



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