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DBMS > Elasticsearch vs. Google BigQuery vs. Interbase vs. Microsoft Access vs. Solr

System Properties Comparison Elasticsearch vs. Google BigQuery vs. Interbase vs. Microsoft Access vs. Solr

Editorial information provided by DB-Engines
NameElasticsearch  Xexclude from comparisonGoogle BigQuery  Xexclude from comparisonInterbase  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonSolr  Xexclude from comparison
DescriptionA distributed, RESTful modern search and analytics engine based on Apache Lucene infoElasticsearch lets you perform and combine many types of searches such as structured, unstructured, geo, and metricLarge scale data warehouse service with append-only tablesLight-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.)A widely used distributed, scalable search engine based on Apache Lucene
Primary database modelSearch engineRelational DBMSRelational DBMSRelational DBMSSearch engine
Secondary database modelsDocument store
Spatial DBMS
Vector DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score132.83
Rank#7  Overall
#1  Search engines
Score58.10
Rank#19  Overall
#13  Relational DBMS
Score4.08
Rank#75  Overall
#41  Relational DBMS
Score101.16
Rank#11  Overall
#8  Relational DBMS
Score41.02
Rank#24  Overall
#3  Search engines
Websitewww.elastic.co/­elasticsearchcloud.google.com/­bigquerywww.embarcadero.com/­products/­interbasewww.microsoft.com/­en-us/­microsoft-365/­accesssolr.apache.org
Technical documentationwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmlcloud.google.com/­bigquery/­docsdocs.embarcadero.com/­products/­interbasedeveloper.microsoft.com/­en-us/­accesssolr.apache.org/­resources.html
DeveloperElasticGoogleEmbarcaderoMicrosoftApache Software Foundation
Initial release20102010198419922006
Current release8.6, January 2023InterBase 2020, December 20191902 (16.0.11328.20222), March 20199.6.1, May 2024
License infoCommercial or Open SourceOpen Source infoElastic Licensecommercialcommercialcommercial infoBundled with Microsoft OfficeOpen 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 languageJavaCC++Java
Server operating systemsAll OS with a Java VMhostedAndroid
iOS
Linux
OS X
Windows
Windows 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 schemeschema-free infoFlexible type definitions. Once a type is defined, it is persistentyesyesyesyes 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.nonono infoexport as XML data possibleyes
Secondary indexesyes infoAll search fields are automatically indexednoyesyesyes infoAll search fields are automatically indexed
SQL infoSupport of SQLSQL-like query languageyesyesyes infobut not compliant to any SQL standardSolr Parallel SQL Interface
APIs and other access methodsJava API
RESTful HTTP/JSON API
RESTful HTTP/JSON APIADO.NET
JDBC
ODBC
ADO.NET
DAO
ODBC
OLE DB
Java API
RESTful HTTP/JSON API
Supported programming languages.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
.Net
C
C++
Delphi
Java
Object Pascal
PHP
Ruby
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 proceduresyesuser defined functions infoin JavaScriptyes infoInterbase procedure and trigger languageyes infosince Access 2010 using the ACE-engineJava plugins
Triggersyes infoby using the 'percolation' featurenoyesyes infosince Access 2010 using the ACE-engineyes infoUser configurable commands triggered on index changes
Partitioning methods infoMethods for storing different data on different nodesShardingnonenonenoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesInterbase Change Viewsnoneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsES-Hadoop Connectornononospark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduce
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infoSynchronous doc based replication. Get by ID may show delays up to 1 sec. Configurable write consistency: one, quorum, allImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynonoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanono infoSince BigQuery is designed for querying dataACIDACID infobut no files for transaction loggingoptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoMultiversion concurreny controlyesyes
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.Memcached and Redis integrationnoyesyes
User concepts infoAccess controlAccess privileges (owner, writer, reader) on dataset, table or view level infoGoogle Cloud Identity & Access Management (IAM)fine grained access rights according to SQL-standardno infoa simple user-level security was built in till version Access 2003yes

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More resources
ElasticsearchGoogle BigQueryInterbaseMicrosoft AccessSolr
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