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DBMS > dBASE vs. DuckDB vs. EJDB vs. Google Cloud Bigtable vs. Microsoft Azure AI Search

System Properties Comparison dBASE vs. DuckDB vs. EJDB vs. Google Cloud Bigtable vs. Microsoft Azure AI Search

Editorial information provided by DB-Engines
NamedBASE  Xexclude from comparisonDuckDB  Xexclude from comparisonEJDB  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonMicrosoft Azure AI Search  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.An embeddable, in-process, column-oriented SQL OLAP RDBMSEmbeddable document-store database library with JSON representation of queries (in MongoDB style)Google's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.Search-as-a-service for web and mobile app development
Primary database modelRelational DBMSRelational DBMSDocument storeKey-value store
Wide column store
Search engine
Secondary database modelsVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score10.34
Rank#44  Overall
#28  Relational DBMS
Score4.57
Rank#74  Overall
#40  Relational DBMS
Score0.27
Rank#297  Overall
#44  Document stores
Score3.26
Rank#92  Overall
#13  Key-value stores
#8  Wide column stores
Score5.59
Rank#63  Overall
#7  Search engines
Websitewww.dbase.comduckdb.orggithub.com/­Softmotions/­ejdbcloud.google.com/­bigtableazure.microsoft.com/­en-us/­services/­search
Technical documentationwww.dbase.com/­support/­knowledgebaseduckdb.org/­docsgithub.com/­Softmotions/­ejdb/­blob/­master/­README.mdcloud.google.com/­bigtable/­docslearn.microsoft.com/­en-us/­azure/­search
DeveloperAsthon TateSoftmotionsGoogleMicrosoft
Initial release19792018201220152015
Current releasedBASE 2019, 20190.10, February 2024V1
License infoCommercial or Open SourcecommercialOpen Source infoMIT LicenseOpen Source infoGPLv2commercialcommercial
Cloud-based only infoOnly available as a cloud servicenononoyesyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C
Server operating systemsDOS infodBase Classic
Windows infodBase Pro
server-lessserver-lesshostedhosted
Data schemeyesyesschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyesyes infostring, integer, double, bool, date, object_idnoyes
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 indexesyesyesnonoyes
SQL infoSupport of SQLnoyesnonono
APIs and other access methodsnone infoThe IDE can access other DBMS or ODBC-sources.Arrow Database Connectivity (ADBC)
CLI Client
JDBC
ODBC
in-process shared librarygRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
RESTful HTTP API
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
Actionscript
C
C#
C++
Go
Java
JavaScript (Node.js)
Lua
Objective-C
Pike
Python
Ruby
C#
C++
Go
Java
JavaScript (Node.js)
Python
C#
Java
JavaScript
Python
Server-side scripts infoStored proceduresno infoThe IDE can access stored procedures in other database systems.nononono
Triggersnonononono
Partitioning methods infoMethods for storing different data on different nodesnonenonenoneShardingSharding infoImplicit feature of the cloud service
Replication methods infoMethods for redundantly storing data on multiple nodesnonenonenoneInternal replication in Colossus, and regional replication between two clusters in different zonesyes infoImplicit feature of the cloud service
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Immediate Consistency
Foreign keys infoReferential integrityyesnono infotypically not needed, however similar functionality with collection joins possiblenono
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 DBMSACIDnoAtomic single-row operationsno
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yes infoRead/Write Lockingyesyes
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.yesnono
User concepts infoAccess controlAccess rights for users and rolesnonoAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)yes infousing Azure authentication

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More resources
dBASEDuckDBEJDBGoogle Cloud BigtableMicrosoft Azure AI Search
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