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DBMS > dBASE vs. DuckDB vs. Fujitsu Enterprise Postgres vs. Google Cloud Bigtable vs. ToroDB

System Properties Comparison dBASE vs. DuckDB vs. Fujitsu Enterprise Postgres vs. Google Cloud Bigtable vs. ToroDB

Editorial information provided by DB-Engines
NamedBASE  Xexclude from comparisonDuckDB  Xexclude from comparisonFujitsu Enterprise Postgres  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonToroDB  Xexclude from comparison
ToroDB seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
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.An embeddable, in-process, column-oriented SQL OLAP RDBMSEnterprise-grade PostgreSQL-based DBMS with security enhancements such as Transparent Data Encryption and Data Masking, plus high-availability and performance improvement features.Google's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.A MongoDB-compatible JSON document store, built on top of PostgreSQL
Primary database modelRelational DBMSRelational DBMSRelational DBMSKey-value store
Wide column store
Document store
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score9.16
Rank#43  Overall
#27  Relational DBMS
Score5.61
Rank#60  Overall
#34  Relational DBMS
Score0.22
Rank#304  Overall
#137  Relational DBMS
Score2.97
Rank#92  Overall
#15  Key-value stores
#8  Wide column stores
Websitewww.dbase.comduckdb.orgwww.postgresql.fastware.comcloud.google.com/­bigtablegithub.com/­torodb/­server
Technical documentationwww.dbase.com/­support/­knowledgebaseduckdb.org/­docswww.postgresql.fastware.com/­product-manualscloud.google.com/­bigtable/­docs
DeveloperAsthon TatePostgreSQL Global Development Group, Fujitsu Australia Software TechnologyGoogle8Kdata
Initial release1979201820152016
Current releasedBASE 2019, 20191.0.0, June 2024Fujitsu Enterprise Postgres 14, January 2022
License infoCommercial or Open SourcecommercialOpen Source infoMIT LicensecommercialcommercialOpen Source infoAGPL-V3
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++CJava
Server operating systemsDOS infodBase Classic
Windows infodBase Pro
server-lessLinux
Windows
hostedAll OS with a Java 7 VM
Data schemeyesyesyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyesnoyes infostring, integer, double, boolean, date, object_id
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
Secondary indexesyesyesyesno
SQL infoSupport of SQLnoyesyesno
APIs and other access methodsnone infoThe IDE can access other DBMS or ODBC-sources.Arrow Database Connectivity (ADBC)
CLI Client
JDBC
ODBC
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
gRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
Supported programming languagesdBase proprietary IDEC
C# info3rd party driver
C++
Crystal info3rd party driver
Go info3rd party driver
Java
Lisp info3rd party driver
Python
R
Ruby info3rd party driver
Rust
Swift
Zig info3rd party driver
.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C#
C++
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresno infoThe IDE can access stored procedures in other database systems.nouser defined functionsno
Triggersnonoyesnono
Partitioning methods infoMethods for storing different data on different nodesnonenonepartitioning by range, list and by hashShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnonenoneSource-replica replicationInternal replication in Colossus, and regional replication between two clusters in different zonesSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Eventual Consistency
Immediate Consistency
Foreign keys infoReferential integrityyesnoyesnono
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 DBMSACIDACIDAtomic single-row operationsno
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlAccess rights for users and rolesnofine grained access rights according to SQL-standardAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Access rights for users and roles

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More resources
dBASEDuckDBFujitsu Enterprise PostgresGoogle Cloud BigtableToroDB
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