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DBMS > AlaSQL vs. Databricks vs. GraphDB vs. Kyligence Enterprise

System Properties Comparison AlaSQL vs. Databricks vs. GraphDB vs. Kyligence Enterprise

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Editorial information provided by DB-Engines
NameAlaSQL  Xexclude from comparisonDatabricks  Xexclude from comparisonGraphDB infoformer name: OWLIM  Xexclude from comparisonKyligence Enterprise  Xexclude from comparison
DescriptionJavaScript DBMS libraryThe Databricks Lakehouse Platform combines elements of data lakes and data warehouses to provide a unified view onto structured and unstructured data. It is based on Apache Spark.Enterprise-ready RDF and graph database with efficient reasoning, cluster and external index synchronization support. It supports also SQL JDBC access to Knowledge Graph and GraphQL over SPARQL.A distributed analytics engine for big data, built on top of Apache Kylin
Primary database modelDocument store
Relational DBMS
Document store
Relational DBMS
Graph DBMS
RDF store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.51
Rank#256  Overall
#40  Document stores
#118  Relational DBMS
Score81.08
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score3.25
Rank#91  Overall
#7  Graph DBMS
#4  RDF stores
Score0.46
Rank#266  Overall
#124  Relational DBMS
Websitealasql.orgwww.databricks.comwww.ontotext.comkyligence.io/­kyligence-enterprise
Technical documentationgithub.com/­AlaSQL/­alasqldocs.databricks.comgraphdb.ontotext.com/­documentation
Social network pagesLinkedInTwitterYouTubeGitHubMedium
DeveloperAndrey Gershun & Mathias R. WulffDatabricksOntotextKyligence, Inc.
Initial release2014201320002016
Current release10.4, October 2023
License infoCommercial or Open SourceOpen Source infoMIT-Licensecommercialcommercial infoSome plugins of GraphDB Workbench are open sourcedcommercial
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaScriptJavaJava
Server operating systemsserver-less, requires a JavaScript environment (browser, Node.js)hostedAll OS with a Java VM
Linux
OS X
Windows
Linux
Data schemeschema-freeFlexible Schema (defined schema, partial schema, schema free)schema-free and OWL/RDFS-schema support; RDF shapesyes
Typing infopredefined data types such as float or datenoyesyes
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.noyesnono
Secondary indexesnoyesyes, supports real-time synchronization and indexing in SOLR/Elastic search/Lucene and GeoSPARQL geometry data indexesyes
SQL infoSupport of SQLClose to SQL99, but no user access control, stored procedures and host language bindings.with Databricks SQLstored SPARQL accessed as SQL using Apache Calcite through JDBC/ODBCANSI SQL for queries (using Apache Calcite)
APIs and other access methodsJavaScript APIJDBC
ODBC
RESTful HTTP API
GeoSPARQL
GraphQL
GraphQL Federation
Java API
JDBC
RDF4J API
RDFS
RIO
Sail API
Sesame REST HTTP Protocol
SPARQL 1.1
JDBC
ODBC
RESTful HTTP API
Supported programming languagesJavaScriptPython
R
Scala
.Net
C#
Clojure
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresnouser defined functions and aggregateswell-defined plugin interfaces; JavaScript server-side extensibility
Triggersyesno
Partitioning methods infoMethods for storing different data on different nodesnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyesMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate Consistency, Eventual consistency (configurable in cluster mode per master or individual client request)Immediate Consistency
Foreign keys infoReferential integrityyesyes infoConstraint checking
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infoonly for local storage and DOM-storageACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyes infoby using IndexedDB, SQL.JS or proprietary FileStorageyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnono
User concepts infoAccess controlnoDefault Basic authentication through RDF4J client, or via Java when run with cURL, default token-based in the Workbench or via Rest API, optional access through OpenID or Kerberos single sign-on.
More information provided by the system vendor
AlaSQLDatabricksGraphDB infoformer name: OWLIMKyligence Enterprise
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
» more
Ontotext GraphDB is a semantic database engine that allows organizations to build...
» more
Competitive advantagesGraphDB allows you to link text and data in big knowledge graphs. It’s easy to experiment...
» more
Typical application scenariosMetadata enrichment and management, linked data publishing, semantic inferencing...
» more
Key customers​ GraphDB provides a platform for building next-generation AI and Knowledge Graph...
» more
Market metricsGraphDB is the most utilized semantic triplestore for mission-critical enterprise...
» more
Licensing and pricing modelsGraphDB Free is a non-commercial version and is free to use. GraphDB Enterprise edition...
» more
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