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DBMS > Amazon Neptune vs. AnzoGraph DB vs. Valkey

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

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Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonAnzoGraph DB  Xexclude from comparisonValkey infoOpen source key/value datastore  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 virtualizationOpen source key/value datastore
Primary database modelGraph DBMS
RDF store
Graph DBMS
RDF store
Key-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.13
Rank#111  Overall
#9  Graph DBMS
#5  RDF stores
Score0.21
Rank#308  Overall
#25  Graph DBMS
#15  RDF stores
Score1.35
Rank#153  Overall
#25  Key-value stores
Websiteaws.amazon.com/­neptunecambridgesemantics.com/­anzographvalkey.io
Technical documentationaws.amazon.com/­neptune/­developer-resourcesdocs.cambridgesemantics.com/­anzograph/­userdoc/­home.htmgithub.com/­valkey-io/­valkey
DeveloperAmazonCambridge Semantics
Initial release201720182024
Current release2.3, January 2021Valkey 8.0.1, October 2024
License infoCommercial or Open Sourcecommercialcommercial infofree trial version availableOpen Source
Cloud-based only infoOnly available as a cloud serviceyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC
Server operating systemshostedLinux
Data schemeschema-freeSchema-free and OWL/RDFS-schema support
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.nono
Secondary indexesnono
SQL infoSupport of SQLnoSPARQL and SPARQL* as primary query language. Cypher preview.
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
Supported programming languagesC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
C++
Java
Python
Server-side scripts infoStored proceduresnouser defined functions and aggregates
Triggersnonono
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-Cluster
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-Cluster
Foreign keys infoReferential integrityyes infoRelationships in graphsno infonot needed in graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyes infowith encyption-at-restyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes
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

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More resources
Amazon NeptuneAnzoGraph DBValkey infoOpen source key/value datastore
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