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DBMS > BigObject vs. dBASE vs. Google Cloud Bigtable vs. OrigoDB vs. Valentina Server

System Properties Comparison BigObject vs. dBASE vs. Google Cloud Bigtable vs. OrigoDB vs. Valentina Server

Editorial information provided by DB-Engines
NameBigObject  Xexclude from comparisondBASE  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonOrigoDB  Xexclude from comparisonValentina Server  Xexclude from comparison
DescriptionAnalytic DBMS for real-time computations and queriesdBase 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.A fully ACID in-memory object graph databaseObject-relational database and reports server
Primary database modelRelational DBMS infoa hierachical model (tree) can be imposedRelational DBMSKey-value store
Wide column store
Document store
Object oriented DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.13
Rank#333  Overall
#147  Relational DBMS
Score10.34
Rank#44  Overall
#28  Relational DBMS
Score3.26
Rank#92  Overall
#13  Key-value stores
#8  Wide column stores
Score0.00
Rank#383  Overall
#53  Document stores
#20  Object oriented DBMS
Score0.17
Rank#327  Overall
#145  Relational DBMS
Websitebigobject.iowww.dbase.comcloud.google.com/­bigtableorigodb.comwww.valentina-db.net
Technical documentationdocs.bigobject.iowww.dbase.com/­support/­knowledgebasecloud.google.com/­bigtable/­docsorigodb.com/­docsvalentina-db.com/­docs/­dokuwiki/­v5/­doku.php
DeveloperBigObject, Inc.Asthon TateGoogleRobert Friberg et alParadigma Software
Initial release2015197920152009 infounder the name LiveDB1999
Current releasedBASE 2019, 20195.7.5
License infoCommercial or Open Sourcecommercial infofree community edition availablecommercialcommercialOpen Sourcecommercial
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC#
Server operating systemsLinux infodistributed as a docker-image
OS X infodistributed as a docker-image (boot2docker)
Windows infodistributed as a docker-image (boot2docker)
DOS infodBase Classic
Windows infodBase Pro
hostedLinux
Windows
Linux
OS X
Windows
Data schemeyesyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesnoUser defined using .NET types and collectionsyes
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 infocan be achieved using .NET
Secondary indexesyesyesnoyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsnononoyes
APIs and other access methodsfluentd
ODBC
RESTful HTTP API
none infoThe IDE can access other DBMS or ODBC-sources.gRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
.NET Client API
HTTP API
LINQ
ODBC
Supported programming languagesdBase proprietary IDEC#
C++
Go
Java
JavaScript (Node.js)
Python
.Net.Net
C
C#
C++
Objective-C
PHP
Ruby
Visual Basic
Visual Basic.NET
Server-side scripts infoStored proceduresLuano infoThe IDE can access stored procedures in other database systems.noyesyes
Triggersnononoyes infoDomain Eventsyes
Partitioning methods infoMethods for storing different data on different nodesnonenoneShardinghorizontal partitioning infoclient side managed; servers are not synchronized
Replication methods infoMethods for redundantly storing data on multiple nodesnonenoneInternal replication in Colossus, and regional replication between two clusters in different zonesSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)
Foreign keys infoReferential integrityyes infoautomatically between fact table and dimension tablesyesnodepending on modelyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanono infonot for dBase internal data, but IDE does support transactions when accessing external DBMSAtomic single-row operationsACID
Concurrency infoSupport for concurrent manipulation of datayes infoRead/write lock on objects (tables, trees)yesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoWrite ahead logyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyesyes
User concepts infoAccess controlnoAccess rights for users and rolesAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Role based authorizationfine grained access rights according to SQL-standard

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More resources
BigObjectdBASEGoogle Cloud BigtableOrigoDBValentina Server
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