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DBMS > Blazegraph vs. HarperDB vs. KeyDB vs. SWC-DB

System Properties Comparison Blazegraph vs. HarperDB vs. KeyDB vs. SWC-DB

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Editorial information provided by DB-Engines
NameBlazegraph  Xexclude from comparisonHarperDB  Xexclude from comparisonKeyDB  Xexclude from comparisonSWC-DB infoSuper Wide Column Database  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.Ultra-low latency distributed database with an intuitive REST API supporting NoSQL and SQL (including joins). Deployment of functions and databases simultaneously with a consolidated node-level architecture.An ultra-fast, open source Key-value store fully compatible with Redis API, modules, and protocolsA high performance, scalable Wide Column DBMS
Primary database modelGraph DBMS
RDF store
Document storeKey-value storeWide column store
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.75
Rank#219  Overall
#19  Graph DBMS
#8  RDF stores
Score0.55
Rank#248  Overall
#38  Document stores
Score0.71
Rank#226  Overall
#33  Key-value stores
Score0.01
Rank#376  Overall
#13  Wide column stores
Websiteblazegraph.comwww.harperdb.iogithub.com/­Snapchat/­KeyDB
keydb.dev
github.com/­kashirin-alex/­swc-db
www.swcdb.org
Technical documentationwiki.blazegraph.comdocs.harperdb.io/­docsdocs.keydb.dev
DeveloperBlazegraphHarperDBEQ Alpha Technology Ltd.Alex Kashirin
Initial release2006201720192020
Current release2.1.5, March 20193.1, August 20210.5, April 2021
License infoCommercial or Open SourceOpen Source infoextended commercial license availablecommercial infofree community edition availableOpen Source infoBSD-3Open Source infoGPL V3
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaNode.jsC++C++
Server operating systemsLinux
OS X
Windows
Linux
OS X
LinuxLinux
Data schemeschema-freedynamic schemaschema-freeschema-free
Typing infopredefined data types such as float or dateyes infoRDF literal typesyes infoJSON data typespartial infoSupported data types are strings, hashes, lists, sets and sorted sets, bit arrays, hyperloglogs and geospatial indexes
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
Secondary indexesyesyesyes infoby using the Redis Search module
SQL infoSupport of SQLSPARQL is used as query languageSQL-like data manipulation statementsnoSQL-like query language
APIs and other access methodsJava API
RESTful HTTP API
SPARQL QUERY
SPARQL UPDATE
TinkerPop 3
JDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
Proprietary protocol infoRESP - REdis Serialization ProtocoProprietary protocol
Thrift
Supported programming languages.Net
C
C++
Java
JavaScript
PHP
Python
Ruby
.Net
C
C#
C++
ColdFusion
D
Dart
Delphi
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
MatLab
Objective C
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Rust
Scala
Swift
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
C++
Server-side scripts infoStored proceduresyesCustom Functions infosince release 3.1Luano
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesShardingA table resides as a whole on one (or more) nodes in a clusterShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes infothe nodes on which a table resides can be definedMulti-source replication
Source-replica replication
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 configurationImmediate ConsistencyEventual Consistency
Strong eventual consistency with CRDTs
Immediate Consistency
Foreign keys infoReferential integrityyes infoRelationships in Graphsnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic execution of specific operationsOptimistic locking, atomic execution of commands blocks and scripts
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes, using LMDByes infoConfigurable mechanisms for persistency via snapshots and/or operations logsyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesno
User concepts infoAccess controlSecurity and Authentication via Web Application Container (Tomcat, Jetty)Access rights for users and rolessimple password-based access control and ACL

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More resources
BlazegraphHarperDBKeyDBSWC-DB infoSuper Wide Column Database
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