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DBMS > Altibase vs. Amazon CloudSearch vs. Databricks vs. Microsoft Access vs. Solr

System Properties Comparison Altibase vs. Amazon CloudSearch vs. Databricks vs. Microsoft Access vs. Solr

Editorial information provided by DB-Engines
NameAltibase  Xexclude from comparisonAmazon CloudSearch  Xexclude from comparisonDatabricks  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonSolr  Xexclude from comparison
DescriptionAn enterprise grade, high-performance RDBMSA hosted search engine service by Amazon with the data stored in Amazons cloudThe Databricks Lakehouse Platform combines elements of data lakes and data warehouses to provide a unified view onto structured and unstructured data. It is based on Apache Spark.Microsoft 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 Lucene
Primary database modelRelational DBMSSearch engineDocument store
Relational DBMS
Relational DBMSSearch engine
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.07
Rank#186  Overall
#87  Relational DBMS
Score1.85
Rank#137  Overall
#12  Search engines
Score78.61
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score104.92
Rank#11  Overall
#8  Relational DBMS
Score42.91
Rank#24  Overall
#3  Search engines
Websitealtibase.comaws.amazon.com/­cloudsearchwww.databricks.comwww.microsoft.com/­en-us/­microsoft-365/­accesssolr.apache.org
Technical documentationgithub.com/­ALTIBASE/­Documents/­tree/­master/­Manualsdocs.aws.amazon.com/­cloudsearchdocs.databricks.comdeveloper.microsoft.com/­en-us/­accesssolr.apache.org/­resources.html
DeveloperAltibaseAmazonDatabricksMicrosoftApache Software Foundation
Initial release19992012201319922006
Current releasev7.3, 2023, August 20231902 (16.0.11328.20222), March 20199.6.0, April 2024
License infoCommercial or Open Sourcecommercial infoOpen source edition discontinued with March 2023commercialcommercialcommercial infoBundled with Microsoft OfficeOpen Source infoApache Version 2
Cloud-based only infoOnly available as a cloud servicenoyesyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C++Java
Server operating systemsAIX
HP-UX
Linux
hostedhostedWindows 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)
Data schemeyesyesFlexible Schema (defined schema, partial schema, schema free)yesyes infoDynamic Fields enables on-the-fly addition of new fields
Typing infopredefined data types such as float or dateyesyesyesyes 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.noyesyes
Secondary indexesyesyes infoall search fields are automatically indexedyesyesyes infoAll search fields are automatically indexed
SQL infoSupport of SQLANSI SQL-92nowith Databricks SQLyes infobut not compliant to any SQL standardSolr Parallel SQL Interface
APIs and other access methodsJDBC
ODBC
Proprietary protocol
HTTP APIJDBC
ODBC
RESTful HTTP API
ADO.NET
DAO
ODBC
OLE DB
Java API
RESTful HTTP/JSON API
Supported programming languagesC
C++
Java
Python
R
Scala
C
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
Server-side scripts infoStored proceduresstored procedures and stored functionsnouser defined functions and aggregatesyes infosince Access 2010 using the ACE-engineJava plugins
Triggersyesnoyes infosince Access 2010 using the ACE-engineyes infoUser configurable commands triggered on index changes
Partitioning methods infoMethods for storing different data on different nodesShardingyes infoautomatic partitioning across Amazon Search Instance as requirednoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes infomanaged transparently by AWSyesnoneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononospark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduce
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACID infobut no files for transaction loggingoptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infobut no files for transaction loggingyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes
User concepts infoAccess controlfine grained access rights according to SQL-standardauthentication via encrypted signaturesno infoa simple user-level security was built in till version Access 2003yes
More information provided by the system vendor
AltibaseAmazon CloudSearchDatabricksMicrosoft AccessSolr
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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More resources
AltibaseAmazon CloudSearchDatabricksMicrosoft AccessSolr
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