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DBMS > AllegroGraph vs. AnzoGraph DB vs. Apache Impala vs. Databricks

System Properties Comparison AllegroGraph vs. AnzoGraph DB vs. Apache Impala vs. Databricks

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Editorial information provided by DB-Engines
NameAllegroGraph  Xexclude from comparisonAnzoGraph DB  Xexclude from comparisonApache Impala  Xexclude from comparisonDatabricks  Xexclude from comparison
DescriptionHigh performance, persistent RDF store with additional support for Graph DBMSScalable graph database built for online analytics and data harmonization with MPP scaling, high-performance analytical algorithms and reasoning, and virtualizationAnalytic DBMS for HadoopThe 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
Graph DBMS
RDF store
Relational DBMSDocument store
Relational DBMS
Secondary database modelsSpatial DBMSDocument store
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
Score0.23
Rank#307  Overall
#24  Graph DBMS
#13  RDF stores
Score13.77
Rank#40  Overall
#24  Relational DBMS
Score78.61
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Websiteallegrograph.comcambridgesemantics.com/­anzographimpala.apache.orgwww.databricks.com
Technical documentationfranz.com/­agraph/­support/­documentation/­current/­agraph-introduction.htmldocs.cambridgesemantics.com/­anzograph/­userdoc/­home.htmimpala.apache.org/­impala-docs.htmldocs.databricks.com
DeveloperFranz Inc.Cambridge SemanticsApache Software Foundation infoApache top-level project, originally developed by ClouderaDatabricks
Initial release2004201820132013
Current release8.0, December 20232.3, January 20214.1.0, June 2022
License infoCommercial or Open Sourcecommercial infoLimited community edition freecommercial infofree trial version availableOpen Source infoApache Version 2commercial
Cloud-based only infoOnly available as a cloud servicenononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++
Server operating systemsLinux
OS X
Windows
LinuxLinuxhosted
Data schemeyes infoRDF schemasSchema-free and OWL/RDFS-schema supportyesFlexible Schema (defined schema, partial schema, schema free)
Typing infopredefined data types such as float or dateyesyes
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 possiblenonoyes
Secondary indexesyesnoyesyes
SQL infoSupport of SQLSPARQL is used as query languageSPARQL and SPARQL* as primary query language. Cypher preview.SQL-like DML and DDL statementswith Databricks SQL
APIs and other access methodsRESTful HTTP API
SPARQL
Apache Mule
gRPC
JDBC
Kafka
OData access for BI tools
OpenCypher
RESTful HTTP API
SPARQL
JDBC
ODBC
JDBC
ODBC
RESTful HTTP API
Supported programming languagesC#
Clojure
Java
Lisp
Perl
Python
Ruby
Scala
C++
Java
Python
All languages supporting JDBC/ODBCPython
R
Scala
Server-side scripts infoStored proceduresyes infoJavaScript or Common Lispuser defined functions and aggregatesyes infouser defined functions and integration of map-reduceuser defined functions and aggregates
Triggersyesnono
Partitioning methods infoMethods for storing different data on different nodeswith FederationAutomatic shardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Multi-source replication in MPP-Clusterselectable replication factoryes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoKerberos/HDFS data loadingyes infoquery execution via MapReduce
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency in MPP-ClusterEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynono infonot needed in graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACID
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.noyesnono
User concepts infoAccess controlUsers with fine-grained authorization concept, user roles and pluggable authenticationAccess rights for users and rolesAccess rights for users, groups and roles infobased on Apache Sentry and Kerberos
More information provided by the system vendor
AllegroGraphAnzoGraph DBApache ImpalaDatabricks
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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