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DBMS > AgensGraph vs. Google Cloud Datastore vs. NuoDB vs. Solr

System Properties Comparison AgensGraph vs. Google Cloud Datastore vs. NuoDB vs. Solr

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Editorial information provided by DB-Engines
NameAgensGraph  Xexclude from comparisonGoogle Cloud Datastore  Xexclude from comparisonNuoDB  Xexclude from comparisonSolr  Xexclude from comparison
DescriptionMulti-model database supporting relational and graph data models and built upon PostgreSQLAutomatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformNuoDB is a webscale distributed database that supports SQL and ACID transactionsA widely used distributed, scalable search engine based on Apache Lucene
Primary database modelGraph DBMS
Relational DBMS
Document storeRelational DBMSSearch engine
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.23
Rank#315  Overall
#26  Graph DBMS
#140  Relational DBMS
Score4.36
Rank#72  Overall
#12  Document stores
Score0.94
Rank#197  Overall
#92  Relational DBMS
Score41.02
Rank#24  Overall
#3  Search engines
Websitebitnine.net/­agensgraphcloud.google.com/­datastorewww.3ds.com/­nuodb-distributed-sql-databasesolr.apache.org
Technical documentationbitnine.net/­documentationcloud.google.com/­datastore/­docsdoc.nuodb.comsolr.apache.org/­resources.html
DeveloperBitnine Global Inc.GoogleDassault Systèmes infooriginally NuoDB, Inc.Apache Software Foundation
Initial release2016200820132006
Current release2.1, December 20189.6.1, May 2024
License infoCommercial or Open SourceOpen Source infoApache License 2.0commercialcommercial infolimited edition freeOpen Source infoApache Version 2
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCC++Java
Server operating systemsLinux
OS X
Windows
hostedhosted infoAmazon EC2, Windows Azure, SoftLayer
Linux
OS X
Windows
All OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)
Data schemedepending on used data modelschema-freeyesyes infoDynamic Fields enables on-the-fly addition of new fields
Typing infopredefined data types such as float or dateyesyes, details hereyesyes 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.nononoyes
Secondary indexesyesyesyesyes infoAll search fields are automatically indexed
SQL infoSupport of SQLyesSQL-like query language (GQL)yesSolr Parallel SQL Interface
APIs and other access methodsCypher Query Language
JDBC
gRPC (using protocol buffers) API
RESTful HTTP/JSON API
ADO.NET
JDBC
ODBC
Java API
RESTful HTTP/JSON API
Supported programming languagesC
Java
JavaScript
Python
.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
C
C++
Go
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresyesusing Google App EngineJava, SQLJava plugins
TriggersnoCallbacks using the Google Apps Engineyesyes infoUser configurable commands triggered on index changes
Partitioning methods infoMethods for storing different data on different nodesno, but can be realized using table inheritanceShardingdata is dynamically stored/cached on the nodes where it is read/writtenSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-source replication using Paxosyes infoManaged transparently by NuoDByes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infousing Google Cloud Dataflownospark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduce
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on type of query and configuration infoStrong Consistency is default for entity lookups and queries within an Entity Group (but can instead be made eventually consistent). Other queries are always eventual consistent.Immediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyesyes infovia ReferenceProperties or Ancestor pathsyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID infoSerializable Isolation within Transactions, Read Committed outside of TransactionsACID infotunable commit protocoloptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoMVCCyes
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.nonoyes infoTemporary tableyes
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Standard SQL roles/ privileges, Administrative Usersyes

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More resources
AgensGraphGoogle Cloud DatastoreNuoDBSolr
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