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DBMS > Amazon Aurora vs. Datastax Enterprise vs. HugeGraph vs. Yanza

System Properties Comparison Amazon Aurora vs. Datastax Enterprise vs. HugeGraph vs. Yanza

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Editorial information provided by DB-Engines
NameAmazon Aurora  Xexclude from comparisonDatastax Enterprise  Xexclude from comparisonHugeGraph  Xexclude from comparisonYanza  Xexclude from comparison
Yanza seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionMySQL and PostgreSQL compatible cloud service by AmazonDataStax Enterprise (DSE) is the always-on, scalable data platform built on Apache Cassandra and designed for hybrid Cloud. DSE integrates graph, search, analytics, administration, developer tooling, and monitoring into a unified platform.A fast-speed and highly-scalable Graph DBMSTime Series DBMS for IoT Applications
Primary database modelRelational DBMSWide column storeGraph DBMSTime Series DBMS
Secondary database modelsDocument storeDocument store
Graph DBMS
Spatial DBMS
Search engine
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.57
Rank#51  Overall
#32  Relational DBMS
Score5.93
Rank#56  Overall
#4  Wide column stores
Score0.17
Rank#335  Overall
#31  Graph DBMS
Websiteaws.amazon.com/­rds/­aurorawww.datastax.com/­products/­datastax-enterprisegithub.com/­hugegraph
hugegraph.apache.org
yanza.com
Technical documentationdocs.aws.amazon.com/­AmazonRDS/­latest/­AuroraUserGuide/­CHAP_Aurora.htmldocs.datastax.comhugegraph.apache.org/­docs
DeveloperAmazonDataStaxBaiduYanza
Initial release2015201120182015
Current release6.8, April 20200.9
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache Version 2.0commercial infofree version available
Cloud-based only infoOnly available as a cloud serviceyesnonono infobut mainly used as a service provided by Yanza
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Datastax Astra DB: Astra DB simplifies cloud-native Cassandra application development for your apps, microservices and functions. Deploy in minutes on AWS, Google Cloud, Azure, and have it managed for you by the experts, with serverless, pay-as-you-go pricing.
Implementation languageJavaJava
Server operating systemshostedLinux
OS X
Linux
macOS
Unix
Windows
Data schemeyesschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyesyesno
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.yesnonono
Secondary indexesyesyesyes infoalso supports composite index and range indexno
SQL infoSupport of SQLyesSQL-like DML and DDL statements (CQL); Spark SQLnono
APIs and other access methodsADO.NET
JDBC
ODBC
Proprietary protocol infoCQL (Cassandra Query Language)
TinkerPop Gremlin infowith DSE Graph
Java API
RESTful HTTP API
TinkerPop Gremlin
HTTP API
Supported programming languagesAda
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
C
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
Groovy
Java
Python
any language that supports HTTP calls
Server-side scripts infoStored proceduresyesnoasynchronous Gremlin script jobsno
Triggersyesyesnoyes infoTimer and event based
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningSharding infono "single point of failure"yes infodepending on used storage backend, e.g. Cassandra and HBasenone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationconfigurable replication factor, datacenter aware, advanced replication for edge computingyes infodepending on used storage backend, e.g. Cassandra and HBasenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesvia hugegraph-sparkno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Tunable Consistency infoconsistency level can be individually decided with each write operation
Eventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnoyes infoedges in graphno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno infoAtomicity and isolation are supported for single operationsACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users can be defined per objectUsers, roles and permissionsno
More information provided by the system vendor
Amazon AuroraDatastax EnterpriseHugeGraphYanza
Specific characteristicsDataStax Enterprise is scale-out data infrastructure for enterprises that need to...
» more
Competitive advantagesSupporting the following application requirements: Zero downtime - Built on Apache...
» more
Typical application scenariosApplications that must be massively and linearly scalable with 100% uptime and able...
» more
Key customersCapital One, Cisco, Comcast, eBay, McDonald's, Microsoft, Safeway, Sony, UBS, and...
» more
Market metricsAmong the Forbes 100 Most Innovative Companies, DataStax is trusted by 5 of the top...
» more
Licensing and pricing modelsAnnual subscription
» more

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More resources
Amazon AuroraDatastax EnterpriseHugeGraphYanza
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