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DBMS > AnzoGraph DB vs. Apache Hive vs. Databricks

System Properties Comparison AnzoGraph DB vs. Apache Hive vs. Databricks

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Editorial information provided by DB-Engines
NameAnzoGraph DB  Xexclude from comparisonApache Hive  Xexclude from comparisonDatabricks  Xexclude from comparison
DescriptionScalable graph database built for online analytics and data harmonization with MPP scaling, high-performance analytical algorithms and reasoning, and virtualizationdata warehouse software for querying and managing large distributed datasets, built on 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 modelGraph DBMS
RDF store
Relational DBMSDocument store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.23
Rank#297  Overall
#25  Graph DBMS
#14  RDF stores
Score52.57
Rank#18  Overall
#12  Relational DBMS
Score85.60
Rank#14  Overall
#2  Document stores
#9  Relational DBMS
Websitecambridgesemantics.com/­anzographhive.apache.orgwww.databricks.com
Technical documentationdocs.cambridgesemantics.com/­anzograph/­userdoc/­home.htmcwiki.apache.org/­confluence/­display/­Hive/­Homedocs.databricks.com
DeveloperCambridge SemanticsApache Software Foundation infoinitially developed by FacebookDatabricks
Initial release201820122013
Current release2.3, January 20213.1.3, April 2022
License infoCommercial or Open Sourcecommercial infofree trial version availableOpen Source infoApache Version 2commercial
Cloud-based only infoOnly available as a cloud servicenonoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava
Server operating systemsLinuxAll OS with a Java VMhosted
Data schemeSchema-free and OWL/RDFS-schema supportyesFlexible 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.noyes
Secondary indexesnoyesyes
SQL infoSupport of SQLSPARQL and SPARQL* as primary query language. Cypher preview.SQL-like DML and DDL statementswith Databricks SQL
APIs and other access methodsApache Mule
gRPC
JDBC
Kafka
OData access for BI tools
OpenCypher
RESTful HTTP API
SPARQL
JDBC
ODBC
Thrift
JDBC
ODBC
RESTful HTTP API
Supported programming languagesC++
Java
Python
C++
Java
PHP
Python
Python
R
Scala
Server-side scripts infoStored proceduresuser defined functions and aggregatesyes infouser defined functions and integration of map-reduceuser defined functions and aggregates
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication in MPP-Clusterselectable replication factoryes
MapReduce infoOffers an API for user-defined Map/Reduce methodsKerberos/HDFS data loadingyes infoquery execution via MapReduce
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency in MPP-ClusterEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno infonot needed in graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlAccess rights for users and rolesAccess rights for users, groups and roles
More information provided by the system vendor
AnzoGraph DBApache HiveDatabricks
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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AnzoGraph DBApache HiveDatabricks
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