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DBMS > Google BigQuery vs. IBM Db2 Event Store vs. Interbase vs. Microsoft Access vs. Solr

System Properties Comparison Google BigQuery vs. IBM Db2 Event Store vs. Interbase vs. Microsoft Access vs. Solr

Editorial information provided by DB-Engines
NameGoogle BigQuery  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparisonInterbase  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonSolr  Xexclude from comparison
DescriptionLarge scale data warehouse service with append-only tablesDistributed Event Store optimized for Internet of Things use casesLight-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 modelRelational DBMSEvent Store
Time Series DBMS
Relational DBMSRelational DBMSSearch engine
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score58.10
Rank#19  Overall
#13  Relational DBMS
Score0.27
Rank#309  Overall
#2  Event Stores
#28  Time Series 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
Websitecloud.google.com/­bigquerywww.ibm.com/­products/­db2-event-storewww.embarcadero.com/­products/­interbasewww.microsoft.com/­en-us/­microsoft-365/­accesssolr.apache.org
Technical documentationcloud.google.com/­bigquery/­docswww.ibm.com/­docs/­en/­db2-event-storedocs.embarcadero.com/­products/­interbasedeveloper.microsoft.com/­en-us/­accesssolr.apache.org/­resources.html
DeveloperGoogleIBMEmbarcaderoMicrosoftApache Software Foundation
Initial release20102017198419922006
Current release2.0InterBase 2020, December 20191902 (16.0.11328.20222), March 20199.6.1, May 2024
License infoCommercial or Open Sourcecommercialcommercial infofree developer edition availablecommercialcommercial infoBundled with Microsoft OfficeOpen Source infoApache Version 2
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC and C++CC++Java
Server operating systemshostedLinux infoLinux, macOS, Windows for the developer additionAndroid
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 schemeyesyesyesyesyes 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 indexesnonoyesyesyes infoAll search fields are automatically indexed
SQL infoSupport of SQLyesyes infothrough the embedded Spark runtimeyesyes infobut not compliant to any SQL standardSolr Parallel SQL Interface
APIs and other access methodsRESTful HTTP/JSON APIADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
ADO.NET
JDBC
ODBC
ADO.NET
DAO
ODBC
OLE DB
Java API
RESTful HTTP/JSON API
Supported programming languages.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
C
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
.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 proceduresuser defined functions infoin JavaScriptyesyes infoInterbase procedure and trigger languageyes infosince Access 2010 using the ACE-engineJava plugins
Triggersnonoyesyes infosince Access 2010 using the ACE-engineyes infoUser configurable commands triggered on index changes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingnonenoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesActive-active shard replicationInterbase Change Viewsnoneyes
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 ConsistencyEventual ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynonoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoSince BigQuery is designed for querying datanoACIDACID infobut no files for transaction loggingoptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesNo - written data is immutableyes infoMultiversion concurreny controlyesyes
Durability infoSupport for making data persistentyesYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storageyesyes 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.noyesyesyes
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-standardfine 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
Google BigQueryIBM Db2 Event StoreInterbaseMicrosoft AccessSolr
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