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DBMS > Amazon Neptune vs. AnzoGraph DB vs. Databricks

System Properties Comparison Amazon Neptune vs. AnzoGraph DB vs. Databricks

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Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonAnzoGraph DB  Xexclude from comparisonDatabricks  Xexclude from comparison
DescriptionFast, reliable graph database built for the cloudScalable 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.
Primary database modelGraph DBMS
RDF store
Graph DBMS
RDF store
Document store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.20
Rank#113  Overall
#9  Graph DBMS
#5  RDF stores
Score0.22
Rank#302  Overall
#24  Graph DBMS
#13  RDF stores
Score84.24
Rank#14  Overall
#2  Document stores
#9  Relational DBMS
Websiteaws.amazon.com/­neptunecambridgesemantics.com/­anzographwww.databricks.com
Technical documentationaws.amazon.com/­neptune/­developer-resourcesdocs.cambridgesemantics.com/­anzograph/­userdoc/­home.htmdocs.databricks.com
DeveloperAmazonCambridge SemanticsDatabricks
Initial release201720182013
Current release2.3, January 2021
License infoCommercial or Open Sourcecommercialcommercial infofree trial version availablecommercial
Cloud-based only infoOnly available as a cloud serviceyesnoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Server operating systemshostedLinuxhosted
Data schemeschema-freeSchema-free and OWL/RDFS-schema supportFlexible 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.nonoyes
Secondary indexesnonoyes
SQL infoSupport of SQLnoSPARQL and SPARQL* as primary query language. Cypher preview.with Databricks SQL
APIs and other access methodsOpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
Apache Mule
gRPC
JDBC
Kafka
OData access for BI tools
OpenCypher
RESTful HTTP API
SPARQL
JDBC
ODBC
RESTful HTTP API
Supported programming languagesC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
C++
Java
Python
Python
R
Scala
Server-side scripts infoStored proceduresnouser defined functions and aggregatesuser defined functions and aggregates
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesnoneAutomatic sharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones high availability, asynchronous replication for up to 15 read replicas within a single region. Global database clusters consists of a primary write DB cluster in one region, and up to five secondary read DB clusters in different regions. Each secondary region can have up to 16 reader instances.Multi-source replication in MPP-Clusteryes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoKerberos/HDFS data loading
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency in MPP-ClusterImmediate Consistency
Foreign keys infoReferential integrityyes infoRelationships in graphsno infonot needed in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyes infowith encyption-at-restyesyes
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 roles can be defined via the AWS Identity and Access Management (IAM)Access rights for users and roles
More information provided by the system vendor
Amazon NeptuneAnzoGraph DBDatabricks
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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More resources
Amazon NeptuneAnzoGraph DBDatabricks
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