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DBMS > Amazon Neptune vs. Datomic vs. OpenEdge vs. PieCloudDB vs. Yanza

System Properties Comparison Amazon Neptune vs. Datomic vs. OpenEdge vs. PieCloudDB vs. Yanza

Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonDatomic  Xexclude from comparisonOpenEdge  Xexclude from comparisonPieCloudDB  Xexclude from comparisonYanza  Xexclude from comparison
Yanza seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionFast, reliable graph database built for the cloudDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityApplication development environment with integrated database management systemA cloud-native analytic database platform with new technologoy for elastic MPPTime Series DBMS for IoT Applications
Primary database modelGraph DBMS
RDF store
Relational DBMSRelational DBMSRelational DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.29
Rank#113  Overall
#9  Graph DBMS
#5  RDF stores
Score1.66
Rank#144  Overall
#66  Relational DBMS
Score3.45
Rank#85  Overall
#46  Relational DBMS
Score0.32
Rank#289  Overall
#133  Relational DBMS
Websiteaws.amazon.com/­neptunewww.datomic.comwww.progress.com/­openedgewww.openpie.comyanza.com
Technical documentationaws.amazon.com/­neptune/­developer-resourcesdocs.datomic.comdocumentation.progress.com/­output/­ua/­OpenEdge_latest
DeveloperAmazonCognitectProgress Software CorporationOpenPieYanza
Initial release2017201219842015
Current release1.0.7075, December 2023OpenEdge 12.2, March 20202.1, January 2023
License infoCommercial or Open Sourcecommercialcommercial infolimited edition freecommercialcommercialcommercial infofree version available
Cloud-based only infoOnly available as a cloud serviceyesnonoyesno 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.
Implementation languageJava, Clojure
Server operating systemshostedAll OS with a Java VMAIX
HP-UX
Linux
Solaris
Windows
hostedWindows
Data schemeschema-freeyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyesno
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.nonoyesno
Secondary indexesnoyesyesyesno
SQL infoSupport of SQLnonoyes infoclose to SQL 92yesno
APIs and other access methodsOpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
RESTful HTTP APIJDBC
ODBC
CLI Client
JDBC
ODBC
HTTP API
Supported programming languagesC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
Clojure
Java
Progress proprietary ABL (Advanced Business Language)Java
PL/SQL
Python
R
any language that supports HTTP calls
Server-side scripts infoStored proceduresnoyes infoTransaction Functionsyesuser defined functionsno
TriggersnoBy using transaction functionsyesnoyes infoTimer and event based
Partitioning methods infoMethods for storing different data on different nodesnonenone infoBut extensive use of caching in the application peershorizontal partitioning infosince Version 11.4yesnone
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.none infoBut extensive use of caching in the application peersSource-replica replicationyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoRelationships in graphsnoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyes infowith encyption-at-restyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes inforecommended only for testing and developmentno
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)noUsers and groupsUser Roles and pluggable authentication with full SQL Standardno
More information provided by the system vendor
Amazon NeptuneDatomicOpenEdgePieCloudDBYanza
Specific characteristicsPieCloudDB, OpenPie's flagship product, is a cutting-edge cloud-native data warehouse....
» more
Competitive advantagesExtreme Elastic: PieCloudDB utilizes a cutting-edge eMPP cloud-native architecture...
» more
Typical application scenariosPieCloudDB is ideal for Data mining applications that require extreme scalability...
» more
Key customersSail-Cloud China Shipbuilding Group Haizhou System Soochow Securities ​etc.,
» more
Licensing and pricing modelsPieCloudDB Community Edition: Community License, Free Download, Self-Hosted Deployment;...
» more

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More resources
Amazon NeptuneDatomicOpenEdgePieCloudDBYanza
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