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DBMS > AllegroGraph vs. ArcadeDB vs. Databricks vs. GeoMesa

System Properties Comparison AllegroGraph vs. ArcadeDB vs. Databricks vs. GeoMesa

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Editorial information provided by DB-Engines
NameAllegroGraph  Xexclude from comparisonArcadeDB  Xexclude from comparisonDatabricks  Xexclude from comparisonGeoMesa  Xexclude from comparison
DescriptionHigh performance, persistent RDF store with additional support for Graph DBMSFast and scalable multi-model DBMS, originally forked from OrientDB but most of the code has been rewrittenThe 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.GeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.
Primary database modelDocument store infowith version 6.5
Graph DBMS
RDF store
Vector DBMS
Document store
Graph DBMS
Key-value store
Time Series DBMS infoin next version
Document store
Relational DBMS
Spatial DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.06
Rank#187  Overall
#30  Document stores
#17  Graph DBMS
#7  RDF stores
#7  Vector DBMS
Score0.02
Rank#366  Overall
#50  Document stores
#38  Graph DBMS
#53  Key-value stores
#36  Time Series DBMS
Score78.61
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score0.78
Rank#213  Overall
#4  Spatial DBMS
Websiteallegrograph.comarcadedb.comwww.databricks.comwww.geomesa.org
Technical documentationfranz.com/­agraph/­support/­documentation/­current/­agraph-introduction.htmldocs.arcadedb.comdocs.databricks.comwww.geomesa.org/­documentation/­stable/­user/­index.html
DeveloperFranz Inc.Arcade DataDatabricksCCRi and others
Initial release2004202120132014
Current release8.0, December 2023September 20214.0.5, February 2024
License infoCommercial or Open Sourcecommercial infoLimited community edition freeOpen Source infoApache Version 2.0commercialOpen Source infoApache License 2.0
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaScala
Server operating systemsLinux
OS X
Windows
All OS with a Java VMhosted
Data schemeyes infoRDF schemasschema-freeFlexible Schema (defined schema, partial schema, schema free)yes
Typing infopredefined data types such as float or dateyesyesyes
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 possiblenoyesno
Secondary indexesyesyesyesyes
SQL infoSupport of SQLSPARQL is used as query languageSQL-like query language, no joinswith Databricks SQLno
APIs and other access methodsRESTful HTTP API
SPARQL
JDBC
MongoDB API
OpenCypher
PostgreSQL wire protocol
Redis API
RESTful HTTP/JSON API
TinkerPop Gremlin
JDBC
ODBC
RESTful HTTP API
Supported programming languagesC#
Clojure
Java
Lisp
Perl
Python
Ruby
Scala
JavaPython
R
Scala
Server-side scripts infoStored proceduresyes infoJavaScript or Common Lispuser defined functions and aggregatesno
Triggersyesno
Partitioning methods infoMethods for storing different data on different nodeswith Federationdepending on storage layer
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Source-replica replicationyesdepending on storage layer
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate Consistencydepending on storage layer
Foreign keys infoReferential integritynoyes inforelationship in graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.nonodepending on storage layer
User concepts infoAccess controlUsers with fine-grained authorization concept, user roles and pluggable authenticationyes infodepending on the DBMS used for storage
More information provided by the system vendor
AllegroGraphArcadeDBDatabricksGeoMesa
Specific characteristicsKnowledge Graph Platform Leader FedShard - Designed for Entity-Event Knowledge Graph...
» more
Supported database models : In addition to the Document store and Relational DBMS...
» more
Competitive advantagesAllegroGraph is uniquely suited to support adhoc queries through SPARQL, Prolog and...
» more
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