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DBMS > AnzoGraph DB vs. Databricks vs. RocksDB

System Properties Comparison AnzoGraph DB vs. Databricks vs. RocksDB

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Editorial information provided by DB-Engines
NameAnzoGraph DB  Xexclude from comparisonDatabricks  Xexclude from comparisonRocksDB  Xexclude from comparison
DescriptionScalable graph database built for online analytics and data harmonization with MPP scaling, high-performance analytical algorithms and reasoning, and virtualizationThe 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.Embeddable persistent key-value store optimized for fast storage (flash and RAM)
Primary database modelGraph DBMS
RDF store
Document store
Relational DBMS
Key-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.23
Rank#297  Overall
#25  Graph DBMS
#14  RDF stores
Score85.60
Rank#14  Overall
#2  Document stores
#9  Relational DBMS
Score3.05
Rank#88  Overall
#12  Key-value stores
Websitecambridgesemantics.com/­anzographwww.databricks.comrocksdb.org
Technical documentationdocs.cambridgesemantics.com/­anzograph/­userdoc/­home.htmdocs.databricks.comgithub.com/­facebook/­rocksdb/­wiki
DeveloperCambridge SemanticsDatabricksFacebook, Inc.
Initial release201820132013
Current release2.3, January 20219.4.0, June 2024
License infoCommercial or Open Sourcecommercial infofree trial version availablecommercialOpen Source infoBSD
Cloud-based only infoOnly available as a cloud servicenoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++
Server operating systemsLinuxhostedLinux
Data schemeSchema-free and OWL/RDFS-schema supportFlexible Schema (defined schema, partial schema, schema free)schema-free
Typing infopredefined data types such as float or dateno
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.noyesno
Secondary indexesnoyesno
SQL infoSupport of SQLSPARQL and SPARQL* as primary query language. Cypher preview.with Databricks SQLno
APIs and other access methodsApache Mule
gRPC
JDBC
Kafka
OData access for BI tools
OpenCypher
RESTful HTTP API
SPARQL
JDBC
ODBC
RESTful HTTP API
C++ API
Java API
Supported programming languagesC++
Java
Python
Python
R
Scala
C
C++
Go
Java
Perl
Python
Ruby
Server-side scripts infoStored proceduresuser defined functions and aggregatesuser defined functions and aggregatesno
Triggersno
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication in MPP-Clusteryesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsKerberos/HDFS data loadingno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency in MPP-ClusterImmediate Consistency
Foreign keys infoReferential integrityno infonot needed in graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDyes
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.yesnoyes
User concepts infoAccess controlAccess rights for users and rolesno
More information provided by the system vendor
AnzoGraph DBDatabricksRocksDB
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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