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DBMS > Amazon DocumentDB vs. EsgynDB vs. NuoDB vs. Oracle Coherence vs. Solr

System Properties Comparison Amazon DocumentDB vs. EsgynDB vs. NuoDB vs. Oracle Coherence vs. Solr

Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonEsgynDB  Xexclude from comparisonNuoDB  Xexclude from comparisonOracle Coherence  Xexclude from comparisonSolr  Xexclude from comparison
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionNuoDB is a webscale distributed database that supports SQL and ACID transactionsOracles in-memory data grid solutionA widely used distributed, scalable search engine based on Apache Lucene
Primary database modelDocument storeRelational DBMSRelational DBMSKey-value storeSearch engine
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#132  Overall
#24  Document stores
Score0.16
Rank#329  Overall
#146  Relational DBMS
Score0.89
Rank#198  Overall
#92  Relational DBMS
Score1.92
Rank#130  Overall
#22  Key-value stores
Score42.91
Rank#24  Overall
#3  Search engines
Websiteaws.amazon.com/­documentdbwww.esgyn.cnwww.3ds.com/­nuodb-distributed-sql-databasewww.oracle.com/­java/­coherencesolr.apache.org
Technical documentationaws.amazon.com/­documentdb/­resourcesdoc.nuodb.comdocs.oracle.com/­en/­middleware/­standalone/­coherencesolr.apache.org/­resources.html
DeveloperEsgynDassault Systèmes infooriginally NuoDB, Inc.OracleApache Software Foundation
Initial release20192015201320072006
Current release14.1, August 20239.6.0, April 2024
License infoCommercial or Open Sourcecommercialcommercialcommercial infolimited edition freecommercialOpen Source infoApache Version 2
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++, JavaC++JavaJava
Server operating systemshostedLinuxhosted infoAmazon EC2, Windows Azure, SoftLayer
Linux
OS X
Windows
All OS with a Java VMAll OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)
Data schemeschema-freeyesyesschema-freeyes infoDynamic Fields enables on-the-fly addition of new fields
Typing infopredefined data types such as float or dateyesyesyesyesyes infosupports customizable data types and automatic typing
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.nonononoyes
Secondary indexesyesyesyesnoyes infoAll search fields are automatically indexed
SQL infoSupport of SQLnoyesyesnoSolr Parallel SQL Interface
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)ADO.NET
JDBC
ODBC
ADO.NET
JDBC
ODBC
JCache
JPA
RESTful HTTP API
Java API
RESTful HTTP/JSON API
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
All languages supporting JDBC/ODBC/ADO.Net.Net
C
C++
Go
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
.Net
C++
Java
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresnoJava Stored ProceduresJava, SQLnoJava plugins
Triggersnonoyesyes infoLive Eventsyes infoUser configurable commands triggered on index changes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingdata is dynamically stored/cached on the nodes where it is read/writtenShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasMulti-source replication between multi datacentersyes infoManaged transparently by NuoDByes, with selectable consistency levelyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)yesnonospark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduce
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Eventual Consistency
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possibleyesyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsACIDACID infotunable commit protocolconfigurableoptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoMVCCyesyes
Durability infoSupport for making data persistentyesyesyesyes infooptionallyyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infoTemporary tableyesyes
User concepts infoAccess controlAccess rights for users and rolesfine grained access rights according to SQL-standardStandard SQL roles/ privileges, Administrative Usersauthentification to access the cache via certificates or http basic authenticationyes

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Amazon DocumentDBEsgynDBNuoDBOracle CoherenceSolr
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