DBMS > Amazon Neptune vs. Hyprcubd vs. Lovefield
System Properties Comparison Amazon Neptune vs. Hyprcubd vs. Lovefield
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|Editorial information provided by DB-Engines
|Amazon Neptune Xexclude from comparison
|Hyprcubd Xexclude from comparison
|Lovefield Xexclude from comparison
|Hyprcubd seems to be discontinued. Therefore it is excluded from the DB-Engines ranking.
|Fast, reliable graph database built for the cloud
|Serverless Time Series DBMS
|Primary database model
|Time Series DBMS
|2.1.12, February 2017
|License Commercial or Open Source
|Open Source Apache 2.0
|Cloud-based only Only available as a cloud service
|DBaaS offerings (sponsored links) Database as a Service
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|Server operating systems
|Typing predefined data types such as float or date
|yes time, int, uint, float, string
|XML support Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.
|SQL Support of SQL
|SQL-like query language
|APIs and other access methods
RDF 1.1 / SPARQL 1.1
|Supported programming languages
|Server-side scripts Stored procedures
|Using read-only observers
|Partitioning methods Methods for storing different data on different nodes
|Replication methods Methods for redundantly storing data on multiple nodes
|Multi-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.
|MapReduce Offers an API for user-defined Map/Reduce methods
|Consistency concepts Methods to ensure consistency in a distributed system
|Foreign keys Referential integrity
|yes Relationships in graphs
|Transaction concepts Support to ensure data integrity after non-atomic manipulations of data
|Concurrency Support for concurrent manipulation of data
|Durability Support for making data persistent
|yes with encyption-at-rest
|yes, by using IndexedDB or the cloud service Firebase Realtime Database
|In-memory capabilities Is there an option to define some or all structures to be held in-memory only.
|yes using MemoryDB
|User concepts Access control
|Access rights for users and roles can be defined via the AWS Identity and Access Management (IAM)
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|Recent citations in the news
AWS announces Amazon Neptune I/O-Optimized
Amazon Neptune now supports for Amazon OpenSearch 2.3, 2.5, and Serverless
Amazon Neptune announces support for data APIs in the AWS SDK
Create a Virtual Knowledge Graph with Amazon Neptune and an Amazon S3 data lake | Amazon Web Services
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