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DBMS > AnzoGraph DB vs. Databricks vs. Datomic vs. HyperSQL

System Properties Comparison AnzoGraph DB vs. Databricks vs. Datomic vs. HyperSQL

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Editorial information provided by DB-Engines
NameAnzoGraph DB  Xexclude from comparisonDatabricks  Xexclude from comparisonDatomic  Xexclude from comparisonHyperSQL infoalso known as HSQLDB  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.Datomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityMultithreaded, transactional RDBMS written in Java infoalso known as HSQLDB
Primary database modelGraph DBMS
RDF store
Document store
Relational DBMS
Relational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.29
Rank#303  Overall
#25  Graph DBMS
#14  RDF stores
Score81.08
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score1.66
Rank#144  Overall
#66  Relational DBMS
Score3.23
Rank#93  Overall
#48  Relational DBMS
Websitecambridgesemantics.com/­anzographwww.databricks.comwww.datomic.comhsqldb.org
Technical documentationdocs.cambridgesemantics.com/­anzograph/­userdoc/­home.htmdocs.databricks.comdocs.datomic.comhsqldb.org/­web/­hsqlDocsFrame.html
DeveloperCambridge SemanticsDatabricksCognitect
Initial release2018201320122001
Current release2.3, January 20211.0.6735, June 20232.7.2, June 2023
License infoCommercial or Open Sourcecommercial infofree trial version availablecommercialcommercial infolimited edition freeOpen Source infobased on BSD license
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, ClojureJava
Server operating systemsLinuxhostedAll OS with a Java VMAll OS with a Java VM infoEmbedded (into Java applications) and Client-Server operating modes
Data schemeSchema-free and OWL/RDFS-schema supportFlexible Schema (defined schema, partial schema, schema free)yesyes
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.noyesnono
Secondary indexesnoyesyesyes
SQL infoSupport of SQLSPARQL and SPARQL* as primary query language. Cypher preview.with Databricks SQLnoyes
APIs and other access methodsApache Mule
gRPC
JDBC
Kafka
OData access for BI tools
OpenCypher
RESTful HTTP API
SPARQL
JDBC
ODBC
RESTful HTTP API
RESTful HTTP APIHTTP API infoJDBC via HTTP
JDBC
ODBC
Supported programming languagesC++
Java
Python
Python
R
Scala
Clojure
Java
All languages supporting JDBC/ODBC
Java
Server-side scripts infoStored proceduresuser defined functions and aggregatesuser defined functions and aggregatesyes infoTransaction FunctionsJava, SQL
TriggersnoBy using transaction functionsyes
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingnone infoBut extensive use of caching in the application peersnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication in MPP-Clusteryesnone infoBut extensive use of caching in the application peersnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsKerberos/HDFS data loadingnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency in MPP-ClusterImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno infonot needed in graphsnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes inforecommended only for testing and developmentyes
User concepts infoAccess controlAccess rights for users and rolesnofine grained access rights according to SQL-standard
More information provided by the system vendor
AnzoGraph DBDatabricksDatomicHyperSQL infoalso known as HSQLDB
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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More resources
AnzoGraph DBDatabricksDatomicHyperSQL infoalso known as HSQLDB
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