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DBMS > dBASE vs. Google Cloud Datastore vs. IBM Db2 vs. RavenDB

System Properties Comparison dBASE vs. Google Cloud Datastore vs. IBM Db2 vs. RavenDB

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Editorial information provided by DB-Engines
NamedBASE  Xexclude from comparisonGoogle Cloud Datastore  Xexclude from comparisonIBM Db2 infoformerly named DB2 or IBM Database 2  Xexclude from comparisonRavenDB  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.Automatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformCommon in IBM host environments, 2 different versions for host and Windows/LinuxOpen Source Operational and Transactional Enterprise NoSQL Document Database
Primary database modelRelational DBMSDocument storeRelational DBMS infoSince Version 10.5 support for JSON/BSON documents compatible with MongoDBDocument store
Secondary database modelsDocument store
RDF store infoin Db2 LUW (Linux, Unix, Windows)
Spatial DBMS infowith Db2 Spatial Extender
Graph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score9.16
Rank#43  Overall
#27  Relational DBMS
Score4.13
Rank#71  Overall
#12  Document stores
Score123.05
Rank#9  Overall
#6  Relational DBMS
Score2.68
Rank#102  Overall
#19  Document stores
Websitewww.dbase.comcloud.google.com/­datastorewww.ibm.com/­products/­db2ravendb.net
Technical documentationwww.dbase.com/­support/­knowledgebasecloud.google.com/­datastore/­docswww.ibm.com/­docs/­en/­db2ravendb.net/­docs
DeveloperAsthon TateGoogleIBMHibernating Rhinos
Initial release197920081983 infohost version2010
Current releasedBASE 2019, 201912.1, October 20165.4, July 2022
License infoCommercial or Open Sourcecommercialcommercialcommercial infofree version is availableOpen Source infoAGPL version 3, commercial license available
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC and C++C#
Server operating systemsDOS infodBase Classic
Windows infodBase Pro
hostedAIX
HP-UX
Linux
Solaris
Windows
z/OS
Linux
macOS
Raspberry Pi
Windows
Data schemeyesschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyes, details hereyesno
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.no
Secondary indexesyesyesyesyes
SQL infoSupport of SQLnoSQL-like query language (GQL)yesSQL-like query language (RQL)
APIs and other access methodsnone infoThe IDE can access other DBMS or ODBC-sources.gRPC (using protocol buffers) API
RESTful HTTP/JSON API
ADO.NET
JDBC
JSON style queries infoMongoDB compatible
ODBC
XQuery
.NET Client API
F# Client API
Go Client API
Java Client API
NodeJS Client API
PHP Client API
Python Client API
RESTful HTTP API
Supported programming languagesdBase proprietary IDE.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C
C#
C++
Cobol
Delphi
Fortran
Java
Perl
PHP
Python
Ruby
Visual Basic
.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresno infoThe IDE can access stored procedures in other database systems.using Google App Engineyesyes
TriggersnoCallbacks using the Google Apps Engineyesyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingSharding infoonly with Windows/Unix/Linux VersionSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replication using Paxosyes infowith separate tools (MQ, InfoSphere)Multi-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infousing Google Cloud Dataflownoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on type of query and configuration infoStrong Consistency is default for entity lookups and queries within an Entity Group (but can instead be made eventually consistent). Other queries are always eventual consistent.Default ACID transactions on the local node (eventually consistent across the cluster). Atomic operations with cluster-wide ACID transactions. Eventual consistency for indexes and full-text search indexes.
Foreign keys infoReferential integrityyesyes infovia ReferenceProperties or Ancestor pathsyesno
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 DBMSACID infoSerializable Isolation within Transactions, Read Committed outside of TransactionsACIDACID, Cluster-wide transaction available
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.no
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-standardAuthorization levels configured per client per database

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More resources
dBASEGoogle Cloud DatastoreIBM Db2 infoformerly named DB2 or IBM Database 2RavenDB
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