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DBMS > AgensGraph vs. Google Cloud Datastore vs. Microsoft Access vs. SiriDB vs. Solr

System Properties Comparison AgensGraph vs. Google Cloud Datastore vs. Microsoft Access vs. SiriDB vs. Solr

Editorial information provided by DB-Engines
NameAgensGraph  Xexclude from comparisonGoogle Cloud Datastore  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonSiriDB  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 PlatformMicrosoft Access combines a backend RDBMS (JET / ACE Engine) with a GUI frontend for data manipulation and queries. infoThe Access frontend is often used for accessing other datasources (DBMS, Excel, etc.)Open Source Time Series DBMSA widely used distributed, scalable search engine based on Apache Lucene
Primary database modelGraph DBMS
Relational DBMS
Document storeRelational DBMSTime Series DBMSSearch engine
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.08
Rank#361  Overall
#37  Graph DBMS
#154  Relational DBMS
Score4.87
Rank#78  Overall
#12  Document stores
Score107.93
Rank#11  Overall
#8  Relational DBMS
Score0.10
Rank#352  Overall
#35  Time Series DBMS
Score43.91
Rank#24  Overall
#3  Search engines
Websitebitnine.net/­agensgraphcloud.google.com/­datastorewww.microsoft.com/­en-us/­microsoft-365/­accesssiridb.comsolr.apache.org
Technical documentationbitnine.net/­documentationcloud.google.com/­datastore/­docsdeveloper.microsoft.com/­en-us/­accessdocs.siridb.comsolr.apache.org/­resources.html
DeveloperBitnine Global Inc.GoogleMicrosoftCesbitApache Software Foundation
Initial release20162008199220172006
Current release2.1, December 20181902 (16.0.11328.20222), March 20199.5.0, February 2024
License infoCommercial or Open SourceOpen Source infoApache License 2.0commercialcommercial infoBundled with Microsoft OfficeOpen Source infoMIT LicenseOpen Source infoApache Version 2
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCC++CJava
Server operating systemsLinux
OS X
Windows
hostedWindows infoNot a real database server, but making use of DLLsLinuxAll OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)
Data schemedepending on used data modelschema-freeyesyesyes infoDynamic Fields enables on-the-fly addition of new fields
Typing infopredefined data types such as float or dateyesyes, details hereyesyes infoNumeric datayes 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 indexesyesyesyesyesyes infoAll search fields are automatically indexed
SQL infoSupport of SQLyesSQL-like query language (GQL)yes infobut not compliant to any SQL standardnoSolr Parallel SQL Interface
APIs and other access methodsCypher Query Language
JDBC
gRPC (using protocol buffers) API
RESTful HTTP/JSON API
ADO.NET
DAO
ODBC
OLE DB
HTTP APIJava API
RESTful HTTP/JSON API
Supported programming languagesC
Java
JavaScript
Python
.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
.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 Engineyes infosince Access 2010 using the ACE-enginenoJava plugins
TriggersnoCallbacks using the Google Apps Engineyes infosince Access 2010 using the ACE-enginenoyes infoUser configurable commands triggered on index changes
Partitioning methods infoMethods for storing different data on different nodesno, but can be realized using table inheritanceShardingnoneShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-source replication using Paxosnoneyesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infousing Google Cloud Dataflownonospark-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.Eventual Consistency
Foreign keys infoReferential integrityyesyes infovia ReferenceProperties or Ancestor pathsyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID infoSerializable Isolation within Transactions, Read Committed outside of TransactionsACID infobut no files for transaction loggingnooptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes infobut no files for transaction loggingyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesyes
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)no infoa simple user-level security was built in till version Access 2003simple rights management via user accountsyes

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More resources
AgensGraphGoogle Cloud DatastoreMicrosoft AccessSiriDBSolr
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