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DBMS > Amazon Neptune vs. Interbase vs. Microsoft Access vs. Microsoft Azure AI Search vs. Solr

System Properties Comparison Amazon Neptune vs. Interbase vs. Microsoft Access vs. Microsoft Azure AI Search vs. Solr

Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonInterbase  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonSolr  Xexclude from comparison
DescriptionFast, reliable graph database built for the cloudLight-weight proven RDBMS infooriginally from BorlandMicrosoft 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.)Search-as-a-service for web and mobile app developmentA widely used distributed, scalable search engine based on Apache Lucene
Primary database modelGraph DBMS
RDF store
Relational DBMSRelational DBMSSearch engineSearch engine
Secondary database modelsVector DBMSSpatial 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
Score4.08
Rank#75  Overall
#41  Relational DBMS
Score101.16
Rank#11  Overall
#8  Relational DBMS
Score5.52
Rank#59  Overall
#6  Search engines
Score41.02
Rank#24  Overall
#3  Search engines
Websiteaws.amazon.com/­neptunewww.embarcadero.com/­products/­interbasewww.microsoft.com/­en-us/­microsoft-365/­accessazure.microsoft.com/­en-us/­services/­searchsolr.apache.org
Technical documentationaws.amazon.com/­neptune/­developer-resourcesdocs.embarcadero.com/­products/­interbasedeveloper.microsoft.com/­en-us/­accesslearn.microsoft.com/­en-us/­azure/­searchsolr.apache.org/­resources.html
DeveloperAmazonEmbarcaderoMicrosoftMicrosoftApache Software Foundation
Initial release20171984199220152006
Current releaseInterBase 2020, December 20191902 (16.0.11328.20222), March 2019V19.6.1, May 2024
License infoCommercial or Open Sourcecommercialcommercialcommercial infoBundled with Microsoft OfficecommercialOpen Source infoApache Version 2
Cloud-based only infoOnly available as a cloud serviceyesnonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCC++Java
Server operating systemshostedAndroid
iOS
Linux
OS X
Windows
Windows infoNot a real database server, but making use of DLLshostedAll OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)
Data schemeschema-freeyesyesyesyes 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.nono infoexport as XML data possiblenoyes
Secondary indexesnoyesyesyesyes infoAll search fields are automatically indexed
SQL infoSupport of SQLnoyesyes infobut not compliant to any SQL standardnoSolr Parallel SQL Interface
APIs and other access methodsOpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
ADO.NET
JDBC
ODBC
ADO.NET
DAO
ODBC
OLE DB
RESTful HTTP APIJava API
RESTful HTTP/JSON API
Supported programming languagesC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
.Net
C
C++
Delphi
Java
Object Pascal
PHP
Ruby
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
C#
Java
JavaScript
Python
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresnoyes infoInterbase procedure and trigger languageyes infosince Access 2010 using the ACE-enginenoJava plugins
Triggersnoyesyes infosince Access 2010 using the ACE-enginenoyes infoUser configurable commands triggered on index changes
Partitioning methods infoMethods for storing different data on different nodesnonenonenoneSharding infoImplicit feature of the cloud serviceSharding
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.Interbase Change Viewsnoneyes infoImplicit feature of the cloud serviceyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononospark-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
Foreign keys infoReferential integrityyes infoRelationships in graphsyesyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID infobut no files for transaction loggingnooptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyes infoMultiversion concurreny controlyesyesyes
Durability infoSupport for making data persistentyes infowith encyption-at-restyesyes 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.yesnoyes
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)fine grained access rights according to SQL-standardno infoa simple user-level security was built in till version Access 2003yes infousing Azure authenticationyes

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More resources
Amazon NeptuneInterbaseMicrosoft AccessMicrosoft Azure AI SearchSolr
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