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DBMS > dBASE vs. Google Cloud Bigtable vs. Postgres-XL vs. VictoriaMetrics

System Properties Comparison dBASE vs. Google Cloud Bigtable vs. Postgres-XL vs. VictoriaMetrics

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Editorial information provided by DB-Engines
NamedBASE  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonPostgres-XL  Xexclude from comparisonVictoriaMetrics  Xexclude from comparison
DescriptiondBase was one of the first databases with a development environment on PC's. Its latest version dBase V is still sold as dBase classic, which needs a DOS Emulation. The up-to-date product is dBase plus.Google's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.Based on PostgreSQL enhanced with MPP and write-scale-out cluster featuresA fast, cost-effective and scalable Time Series DBMS and monitoring solution
Primary database modelRelational DBMSKey-value store
Wide column store
Relational DBMSTime Series DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score10.34
Rank#44  Overall
#28  Relational DBMS
Score3.26
Rank#92  Overall
#13  Key-value stores
#8  Wide column stores
Score0.49
Rank#256  Overall
#117  Relational DBMS
Score1.32
Rank#162  Overall
#14  Time Series DBMS
Websitewww.dbase.comcloud.google.com/­bigtablewww.postgres-xl.orgvictoriametrics.com
Technical documentationwww.dbase.com/­support/­knowledgebasecloud.google.com/­bigtable/­docswww.postgres-xl.org/­documentationdocs.victoriametrics.com
github.com/­VictoriaMetrics/­VictoriaMetrics/­wiki
DeveloperAsthon TateGoogleVictoriaMetrics
Initial release197920152014 infosince 2012, originally named StormDB2018
Current releasedBASE 2019, 201910 R1, October 2018v1.91, May 2023
License infoCommercial or Open SourcecommercialcommercialOpen Source infoMozilla public licenseOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCGo
Server operating systemsDOS infodBase Classic
Windows infodBase Pro
hostedLinux
macOS
FreeBSD
Linux
macOS
OpenBSD
Data schemeyesschema-freeyes
Typing infopredefined data types such as float or dateyesnoyes
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.noyes infoXML type, but no XML query functionalityno
Secondary indexesyesnoyes
SQL infoSupport of SQLnonoyes infodistributed, parallel query executionno
APIs and other access methodsnone infoThe IDE can access other DBMS or ODBC-sources.gRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Graphite protocol
InfluxDB Line Protocol
OpenTSDB
Prometheus Query API
Prometheus Remote Read/Write
Supported programming languagesdBase proprietary IDEC#
C++
Go
Java
JavaScript (Node.js)
Python
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Server-side scripts infoStored proceduresno infoThe IDE can access stored procedures in other database systems.nouser defined functionsno
Triggersnonoyesno
Partitioning methods infoMethods for storing different data on different nodesnoneShardinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnoneInternal replication in Colossus, and regional replication between two clusters in different zonesSynchronous replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Immediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infonot for dBase internal data, but IDE does support transactions when accessing external DBMSAtomic single-row operationsACID infoMVCCno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonono
User concepts infoAccess controlAccess rights for users and rolesAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)fine grained access rights according to SQL-standard

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More resources
dBASEGoogle Cloud BigtablePostgres-XLVictoriaMetrics
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