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DBMS > Blazegraph vs. KeyDB vs. Kyligence Enterprise vs. LeanXcale vs. Sadas Engine

System Properties Comparison Blazegraph vs. KeyDB vs. Kyligence Enterprise vs. LeanXcale vs. Sadas Engine

Editorial information provided by DB-Engines
NameBlazegraph  Xexclude from comparisonKeyDB  Xexclude from comparisonKyligence Enterprise  Xexclude from comparisonLeanXcale  Xexclude from comparisonSadas Engine  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 protocolsA distributed analytics engine for big data, built on top of Apache KylinA highly scalable full ACID SQL database with fast NoSQL data ingestion and GIS capabilitiesSADAS Engine is a columnar DBMS specifically designed for high performance in data warehouse environments
Primary database modelGraph DBMS
RDF store
Key-value storeRelational DBMSKey-value store
Relational DBMS
Relational 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
Score0.46
Rank#266  Overall
#124  Relational DBMS
Score0.36
Rank#280  Overall
#40  Key-value stores
#129  Relational DBMS
Score0.07
Rank#373  Overall
#157  Relational DBMS
Websiteblazegraph.comgithub.com/­Snapchat/­KeyDB
keydb.dev
kyligence.io/­kyligence-enterprisewww.leanxcale.comwww.sadasengine.com
Technical documentationwiki.blazegraph.comdocs.keydb.devwww.sadasengine.com/­en/­sadas-engine-download-free-trial-and-documentation/­#documentation
DeveloperBlazegraphEQ Alpha Technology Ltd.Kyligence, Inc.LeanXcaleSADAS s.r.l.
Initial release20062019201620152006
Current release2.1.5, March 20198.0
License infoCommercial or Open SourceOpen Source infoextended commercial license availableOpen Source infoBSD-3commercialcommercialcommercial infofree trial version available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++JavaC++
Server operating systemsLinux
OS X
Windows
LinuxLinuxAIX
Linux
Windows
Data schemeschema-freeschema-freeyesyesyes
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.nonono
Secondary indexesyesyes infoby using the Redis Search moduleyesyes
SQL infoSupport of SQLSPARQL is used as query languagenoANSI SQL for queries (using Apache Calcite)yes infothrough Apache Derbyyes
APIs and other access methodsJava API
RESTful HTTP API
SPARQL QUERY
SPARQL UPDATE
TinkerPop 3
Proprietary protocol infoRESP - REdis Serialization ProtocoJDBC
ODBC
RESTful HTTP API
JDBC
Kafka Connector
ODBC
proprietary key/value interface
Spark Connector
JDBC
ODBC
Proprietary protocol
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
C
Java
Scala
.Net
C
C#
C++
Groovy
Java
PHP
Python
Server-side scripts infoStored proceduresyesLuano
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesShardingShardinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication
Source-replica replication
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesnono
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 ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoRelationships in Graphsnoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDOptimistic locking, atomic execution of commands blocks and scriptsACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes infoConfigurable mechanisms for persistency via snapshots and/or operations logsyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyesyes infomanaged by 'Learn by Usage'
User concepts infoAccess controlSecurity and Authentication via Web Application Container (Tomcat, Jetty)simple password-based access control and ACLAccess rights for users, groups and roles according to SQL-standard

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More resources
BlazegraphKeyDBKyligence EnterpriseLeanXcaleSadas Engine
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