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

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

Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonOpenEdge  Xexclude from comparisonPieCloudDB  Xexclude from comparisonSolr  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 cloudApplication development environment with integrated database management systemA cloud-native analytic database platform with new technologoy for elastic MPPA widely used distributed, scalable search engine based on Apache LuceneTime Series DBMS for IoT Applications
Primary database modelGraph DBMS
RDF store
Relational DBMSRelational DBMSSearch engineTime Series DBMS
Secondary database modelsSpatial 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
Score3.45
Rank#85  Overall
#46  Relational DBMS
Score0.32
Rank#289  Overall
#133  Relational DBMS
Score41.02
Rank#24  Overall
#3  Search engines
Websiteaws.amazon.com/­neptunewww.progress.com/­openedgewww.openpie.comsolr.apache.orgyanza.com
Technical documentationaws.amazon.com/­neptune/­developer-resourcesdocumentation.progress.com/­output/­ua/­OpenEdge_latestsolr.apache.org/­resources.html
DeveloperAmazonProgress Software CorporationOpenPieApache Software FoundationYanza
Initial release2017198420062015
Current releaseOpenEdge 12.2, March 20202.1, January 20239.6.1, May 2024
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source infoApache Version 2commercial infofree version available
Cloud-based only infoOnly available as a cloud serviceyesnoyesnono 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
Server operating systemshostedAIX
HP-UX
Linux
Solaris
Windows
hostedAll OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)Windows
Data schemeschema-freeyesyesyes infoDynamic Fields enables on-the-fly addition of new fieldsschema-free
Typing infopredefined data types such as float or dateyesyesyesyes infosupports customizable data types and automatic typingno
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.noyesyesno
Secondary indexesnoyesyesyes infoAll search fields are automatically indexedno
SQL infoSupport of SQLnoyes infoclose to SQL 92yesSolr Parallel SQL Interfaceno
APIs and other access methodsOpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
JDBC
ODBC
CLI Client
JDBC
ODBC
Java API
RESTful HTTP/JSON API
HTTP API
Supported programming languagesC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
Progress proprietary ABL (Advanced Business Language)Java
PL/SQL
Python
R
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
any language that supports HTTP calls
Server-side scripts infoStored proceduresnoyesuser defined functionsJava pluginsno
Triggersnoyesnoyes infoUser configurable commands triggered on index changesyes infoTimer and event based
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioning infosince Version 11.4yesShardingnone
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.Source-replica replicationyesyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonospark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduceno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoRelationships in graphsyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDoptimistic lockingno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyes infowith encyption-at-restyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)Users and groupsUser Roles and pluggable authentication with full SQL Standardyesno
More information provided by the system vendor
Amazon NeptuneOpenEdgePieCloudDBSolrYanza
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 NeptuneOpenEdgePieCloudDBSolrYanza
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