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DBMS > BaseX vs. Google Cloud Bigtable vs. Hawkular Metrics vs. Interbase vs. Microsoft Access

System Properties Comparison BaseX vs. Google Cloud Bigtable vs. Hawkular Metrics vs. Interbase vs. Microsoft Access

Editorial information provided by DB-Engines
NameBaseX  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonInterbase  Xexclude from comparisonMicrosoft Access  Xexclude from comparison
DescriptionLight-weight Native XML DBMS with support for XQuery 3.0 and interactive GUI.Google's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.Hawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.Light-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.)
Primary database modelNative XML DBMSKey-value store
Wide column store
Time Series DBMSRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.73
Rank#142  Overall
#4  Native XML DBMS
Score3.26
Rank#92  Overall
#13  Key-value stores
#8  Wide column stores
Score0.00
Rank#379  Overall
#40  Time Series DBMS
Score4.61
Rank#72  Overall
#39  Relational DBMS
Score104.92
Rank#11  Overall
#8  Relational DBMS
Websitebasex.orgcloud.google.com/­bigtablewww.hawkular.orgwww.embarcadero.com/­products/­interbasewww.microsoft.com/­en-us/­microsoft-365/­access
Technical documentationdocs.basex.orgcloud.google.com/­bigtable/­docswww.hawkular.org/­hawkular-metrics/­docs/­user-guidedocs.embarcadero.com/­products/­interbasedeveloper.microsoft.com/­en-us/­access
DeveloperBaseX GmbHGoogleCommunity supported by Red HatEmbarcaderoMicrosoft
Initial release20072015201419841992
Current release10.7, August 2023InterBase 2020, December 20191902 (16.0.11328.20222), March 2019
License infoCommercial or Open SourceOpen Source infoBSD licensecommercialOpen Source infoApache 2.0commercialcommercial infoBundled with Microsoft Office
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 languageJavaJavaCC++
Server operating systemsLinux
OS X
Windows
hostedLinux
OS X
Windows
Android
iOS
Linux
OS X
Windows
Windows infoNot a real database server, but making use of DLLs
Data schemeschema-freeschema-freeschema-freeyesyes
Typing infopredefined data types such as float or dateno infoXQuery supports typesnoyesyesyes
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 possible
Secondary indexesyesnonoyesyes
SQL infoSupport of SQLnononoyesyes infobut not compliant to any SQL standard
APIs and other access methodsJava API
RESTful HTTP API
RESTXQ
WebDAV
XML:DB
XQJ
gRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
HTTP RESTADO.NET
JDBC
ODBC
ADO.NET
DAO
ODBC
OLE DB
Supported programming languagesActionscript
C
C#
Haskell
Java
JavaScript infoNode.js
Lisp
Perl
PHP
Python
Qt
Rebol
Ruby
Scala
Visual Basic
C#
C++
Go
Java
JavaScript (Node.js)
Python
Go
Java
Python
Ruby
.Net
C
C++
Delphi
Java
Object Pascal
PHP
Ruby
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
Server-side scripts infoStored proceduresyesnonoyes infoInterbase procedure and trigger languageyes infosince Access 2010 using the ACE-engine
Triggersyes infovia eventsnoyes infovia Hawkular Alertingyesyes infosince Access 2010 using the ACE-engine
Partitioning methods infoMethods for storing different data on different nodesnoneShardingSharding infobased on Cassandranonenone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneInternal replication in Colossus, and regional replication between two clusters in different zonesselectable replication factor infobased on CassandraInterbase Change Viewsnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Eventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate Consistency
Foreign keys infoReferential integritynononoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datamultiple readers, single writerAtomic single-row operationsnoACIDACID infobut no files for transaction logging
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infoMultiversion concurreny controlyes
Durability infoSupport for making data persistentyesyesyesyesyes infobut no files for transaction logging
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes
User concepts infoAccess controlUsers with fine-grained authorization concept on 4 levelsAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)nofine grained access rights according to SQL-standardno infoa simple user-level security was built in till version Access 2003

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More resources
BaseXGoogle Cloud BigtableHawkular MetricsInterbaseMicrosoft Access
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