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DBMS > Blazegraph vs. KeyDB vs. Postgres-XL vs. SiteWhere

System Properties Comparison Blazegraph vs. KeyDB vs. Postgres-XL vs. SiteWhere

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Editorial information provided by DB-Engines
NameBlazegraph  Xexclude from comparisonKeyDB  Xexclude from comparisonPostgres-XL  Xexclude from comparisonSiteWhere  Xexclude from comparison
Amazon has acquired Blazegraph's domain and (probably) product. It is said that Amazon Neptune is based on Blazegraph.
DescriptionHigh-performance graph database supporting Semantic Web (RDF/SPARQL) and Graph Database (tinkerpop3, blueprints, vertex-centric) APIs with scale-out and High Availability.An ultra-fast, open source Key-value store fully compatible with Redis API, modules, and protocolsBased on PostgreSQL enhanced with MPP and write-scale-out cluster featuresM2M integration platform for persisting/querying time series data
Primary database modelGraph DBMS
RDF store
Key-value storeRelational DBMSTime Series DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.81
Rank#213  Overall
#19  Graph DBMS
#8  RDF stores
Score0.70
Rank#229  Overall
#32  Key-value stores
Score0.53
Rank#254  Overall
#117  Relational DBMS
Score0.06
Rank#383  Overall
#43  Time Series DBMS
Websiteblazegraph.comgithub.com/­Snapchat/­KeyDB
keydb.dev
www.postgres-xl.orggithub.com/­sitewhere/­sitewhere
Technical documentationwiki.blazegraph.comdocs.keydb.devwww.postgres-xl.org/­documentationsitewhere1.sitewhere.io/­index.html
DeveloperBlazegraphEQ Alpha Technology Ltd.SiteWhere
Initial release200620192014 infosince 2012, originally named StormDB2010
Current release2.1.5, March 201910 R1, October 2018
License infoCommercial or Open SourceOpen Source infoextended commercial license availableOpen Source infoBSD-3Open Source infoMozilla public licenseOpen Source infoCommon Public Attribution License Version 1.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++CJava
Server operating systemsLinux
OS X
Windows
LinuxLinux
macOS
Linux
OS X
Windows
Data schemeschema-freeschema-freeyespredefined scheme
Typing infopredefined data types such as float or dateyes infoRDF literal typespartial 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.noyes infoXML type, but no XML query functionalityno
Secondary indexesyesyes infoby using the Redis Search moduleyesno
SQL infoSupport of SQLSPARQL is used as query languagenoyes infodistributed, parallel query executionno
APIs and other access methodsJava API
RESTful HTTP API
SPARQL QUERY
SPARQL UPDATE
TinkerPop 3
Proprietary protocol infoRESP - REdis Serialization ProtocoADO.NET
JDBC
native C library
ODBC
streaming API for large objects
HTTP REST
Supported programming languages.Net
C
C++
Java
JavaScript
PHP
Python
Ruby
C
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++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Server-side scripts infoStored proceduresyesLuauser defined functions
Triggersnonoyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardinghorizontal partitioningSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication
Source-replica replication
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 Consistency or Eventual Consistency depending on configurationEventual Consistency
Strong eventual consistency with CRDTs
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoRelationships in Graphsnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDOptimistic locking, atomic execution of commands blocks and scriptsACID infoMVCCno
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.yesnono
User concepts infoAccess controlSecurity and Authentication via Web Application Container (Tomcat, Jetty)simple password-based access control and ACLfine grained access rights according to SQL-standardUsers with fine-grained authorization concept

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More resources
BlazegraphKeyDBPostgres-XLSiteWhere
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