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DBMS > Blazegraph vs. LeanXcale vs. Spark SQL vs. Vitess

System Properties Comparison Blazegraph vs. LeanXcale vs. Spark SQL vs. Vitess

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Editorial information provided by DB-Engines
NameBlazegraph  Xexclude from comparisonLeanXcale  Xexclude from comparisonSpark SQL  Xexclude from comparisonVitess  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.A highly scalable full ACID SQL database with fast NoSQL data ingestion and GIS capabilitiesSpark SQL is a component on top of 'Spark Core' for structured data processingScalable, distributed, cloud-native DBMS, extending MySQL
Primary database modelGraph DBMS
RDF store
Key-value store
Relational DBMS
Relational DBMSRelational 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
Score0.36
Rank#280  Overall
#40  Key-value stores
#129  Relational DBMS
Score18.04
Rank#33  Overall
#20  Relational DBMS
Score0.88
Rank#203  Overall
#95  Relational DBMS
Websiteblazegraph.comwww.leanxcale.comspark.apache.org/­sqlvitess.io
Technical documentationwiki.blazegraph.comspark.apache.org/­docs/­latest/­sql-programming-guide.htmlvitess.io/­docs
DeveloperBlazegraphLeanXcaleApache Software FoundationThe Linux Foundation, PlanetScale
Initial release2006201520142013
Current release2.1.5, March 20193.5.0 ( 2.13), September 202315.0.2, December 2022
License infoCommercial or Open SourceOpen Source infoextended commercial license availablecommercialOpen Source infoApache 2.0Open Source infoApache Version 2.0, commercial licenses available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaScalaGo
Server operating systemsLinux
OS X
Windows
Linux
OS X
Windows
Docker
Linux
macOS
Data schemeschema-freeyesyesyes
Typing infopredefined data types such as float or dateyes infoRDF literal typesyesyes
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.no
Secondary indexesyesnoyes
SQL infoSupport of SQLSPARQL is used as query languageyes infothrough Apache DerbySQL-like DML and DDL statementsyes infowith proprietary extensions
APIs and other access methodsJava API
RESTful HTTP API
SPARQL QUERY
SPARQL UPDATE
TinkerPop 3
JDBC
Kafka Connector
ODBC
proprietary key/value interface
Spark Connector
JDBC
ODBC
ADO.NET
JDBC
MySQL protocol
ODBC
Supported programming languages.Net
C
C++
Java
JavaScript
PHP
Python
Ruby
C
Java
Scala
Java
Python
R
Scala
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresyesnoyes infoproprietary syntax
Triggersnonoyes
Partitioning methods infoMethods for storing different data on different nodesShardingyes, utilizing Spark CoreSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesnoneMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyEventual Consistency across shards
Immediate Consistency within a shard
Foreign keys infoReferential integrityyes infoRelationships in Graphsyesnoyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACID at shard level
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infotable locks or row locks depending on storage engine
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.yesnoyes
User concepts infoAccess controlSecurity and Authentication via Web Application Container (Tomcat, Jetty)noUsers with fine-grained authorization concept infono user groups or roles

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More resources
BlazegraphLeanXcaleSpark SQLVitess
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