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DBMS > AllegroGraph vs. chDB vs. Databricks

System Properties Comparison AllegroGraph vs. chDB vs. Databricks

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Editorial information provided by DB-Engines
NameAllegroGraph  Xexclude from comparisonchDB  Xexclude from comparisonDatabricks  Xexclude from comparison
DescriptionHigh performance, persistent RDF store with additional support for Graph DBMSAn embedded SQL OLAP Engine powered by ClickHouseThe 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.
Primary database modelDocument store infowith version 6.5
Graph DBMS
RDF store
Vector DBMS
Relational DBMSDocument store
Relational DBMS
Secondary database modelsSpatial DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.84
Rank#204  Overall
#35  Document stores
#18  Graph DBMS
#7  RDF stores
#10  Vector DBMS
Score0.05
Rank#358  Overall
#152  Relational DBMS
Score84.24
Rank#14  Overall
#2  Document stores
#9  Relational DBMS
Websiteallegrograph.comgithub.com/­chdb-io/­chdbwww.databricks.com
Technical documentationfranz.com/­agraph/­support/­documentation/­current/­agraph-introduction.htmldoc.chdb.iodocs.databricks.com
DeveloperFranz Inc.Databricks
Initial release200420232013
Current release8.0, December 2023
License infoCommercial or Open Sourcecommercial infoLimited community edition freeOpen Source infoApache Version 2.0commercial
Cloud-based only infoOnly available as a cloud servicenonoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Server operating systemsLinux
OS X
Windows
server-lesshosted
Data schemeyes infoRDF schemasFlexible Schema (defined schema, partial schema, schema free)
Typing infopredefined data types such as float or dateyes
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 infobulk load of XML files possibleyes
Secondary indexesyesyes
SQL infoSupport of SQLSPARQL is used as query languageClose to ANSI SQL (SQL/JSON + extensions)with Databricks SQL
APIs and other access methodsRESTful HTTP API
SPARQL
JDBC
ODBC
RESTful HTTP API
Supported programming languagesC#
Clojure
Java
Lisp
Perl
Python
Ruby
Scala
Bun
C
C++
Go
JavaScript (Node.js)
Python
Rust
Python
R
Scala
Server-side scripts infoStored proceduresyes infoJavaScript or Common Lispuser defined functions and aggregates
Triggersyes
Partitioning methods infoMethods for storing different data on different nodeswith Federation
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integrityno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlUsers with fine-grained authorization concept, user roles and pluggable authentication
More information provided by the system vendor
AllegroGraphchDBDatabricks
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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