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DBMS > Microsoft Access vs. Solr vs. Tkrzw vs. Transwarp Hippo

System Properties Comparison Microsoft Access vs. Solr vs. Tkrzw vs. Transwarp Hippo

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Editorial information provided by DB-Engines
NameMicrosoft Access  Xexclude from comparisonSolr  Xexclude from comparisonTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet  Xexclude from comparisonTranswarp Hippo  Xexclude from comparison
DescriptionMicrosoft 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.)A widely used distributed, scalable search engine based on Apache LuceneA concept of libraries, allowing an application program to store and query key-value pairs in a file. Successor of Tokyo Cabinet and Kyoto CabinetCloud-native distributed Vector DBMS that supports storage, retrieval, and management of massive vector-based datasets
Primary database modelRelational DBMSSearch engineKey-value storeVector DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score101.16
Rank#11  Overall
#8  Relational DBMS
Score41.02
Rank#24  Overall
#3  Search engines
Score0.07
Rank#372  Overall
#57  Key-value stores
Score0.05
Rank#386  Overall
#14  Vector DBMS
Websitewww.microsoft.com/­en-us/­microsoft-365/­accesssolr.apache.orgdbmx.net/­tkrzwwww.transwarp.cn/­en/­subproduct/­hippo
Technical documentationdeveloper.microsoft.com/­en-us/­accesssolr.apache.org/­resources.html
DeveloperMicrosoftApache Software FoundationMikio Hirabayashi
Initial release1992200620202023
Current release1902 (16.0.11328.20222), March 20199.6.1, May 20240.9.3, August 20201.0, May 2023
License infoCommercial or Open Sourcecommercial infoBundled with Microsoft OfficeOpen Source infoApache Version 2Open Source infoApache Version 2.0commercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++JavaC++C++
Server operating systemsWindows infoNot a real database server, but making use of DLLsAll OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)Linux
macOS
Linux
macOS
Data schemeyesyes infoDynamic Fields enables on-the-fly addition of new fieldsschema-free
Typing infopredefined data types such as float or dateyesyes infosupports customizable data types and automatic typingnoVector, Numeric and String
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.yesnono
Secondary indexesyesyes infoAll search fields are automatically indexedno
SQL infoSupport of SQLyes infobut not compliant to any SQL standardSolr Parallel SQL Interfacenono
APIs and other access methodsADO.NET
DAO
ODBC
OLE DB
Java API
RESTful HTTP/JSON API
RESTful HTTP API
Supported programming languagesC
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
C++
Java
Python
Ruby
C++
Java
Python
Server-side scripts infoStored proceduresyes infosince Access 2010 using the ACE-engineJava pluginsnono
Triggersyes infosince Access 2010 using the ACE-engineyes infoUser configurable commands triggered on index changesnono
Partitioning methods infoMethods for storing different data on different nodesnoneShardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnospark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reducenono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infobut no files for transaction loggingoptimistic lockingno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes infobut no files for transaction loggingyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infousing specific database classesyes
User concepts infoAccess controlno infoa simple user-level security was built in till version Access 2003yesnoRole based access control and fine grained access rights

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More resources
Microsoft AccessSolrTkrzw infoSuccessor of Tokyo Cabinet and Kyoto CabinetTranswarp Hippo
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