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DBMS > Cubrid vs. dBASE vs. Google Cloud Bigtable vs. Google Cloud Firestore vs. Hazelcast

System Properties Comparison Cubrid vs. dBASE vs. Google Cloud Bigtable vs. Google Cloud Firestore vs. Hazelcast

Editorial information provided by DB-Engines
NameCubrid  Xexclude from comparisondBASE  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonGoogle Cloud Firestore  Xexclude from comparisonHazelcast  Xexclude from comparison
DescriptionCUBRID is an open-source SQL-based relational database management system with object extensions for OLTPdBase 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.Cloud Firestore is an auto-scaling document database for storing, syncing, and querying data for mobile and web apps. It offers seamless integration with other Firebase and Google Cloud Platform products.A widely adopted in-memory data grid
Primary database modelRelational DBMSRelational DBMSWide column storeDocument storeKey-value store
Secondary database modelsDocument store infoJSON support with IMDG 3.12
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.13
Rank#163  Overall
#80  Relational DBMS
Score14.37
Rank#41  Overall
#25  Relational DBMS
Score3.63
Rank#91  Overall
#8  Wide column stores
Score8.64
Rank#52  Overall
#9  Document stores
Score9.56
Rank#49  Overall
#6  Key-value stores
Websitecubrid.com (korean)
cubrid.org (english)
www.dbase.comcloud.google.com/­bigtablefirebase.google.com/­products/­firestorehazelcast.com
Technical documentationcubrid.org/­manualswww.dbase.com/­support/­knowledgebasecloud.google.com/­bigtable/­docsfirebase.google.com/­docs/­firestorehazelcast.org/­imdg/­docs
DeveloperCUBRID Corporation, CUBRID FoundationAsthon TateGoogleGoogleHazelcast
Initial release20081979201520172008
Current release11.0, January 2021dBASE 2019, 20194.2, March 2021
License infoCommercial or Open SourceOpen Source infoGPLv2commercialcommercialcommercialOpen Source infoApache Version 2; commercial licenses available
Cloud-based only infoOnly available as a cloud servicenonoyesyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC, C++, JavaJava
Server operating systemsLinux
Windows
DOS infodBase Classic
Windows infodBase Pro
hostedhostedAll OS with a Java VM
Data schemeyesyesschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesnoyesyes
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.nononoyes infothe object must implement a serialization strategy
Secondary indexesyesyesnoyesyes
SQL infoSupport of SQLyesnononoSQL-like query language
APIs and other access methodsADO.NET
JDBC
ODBC
OLE DB
none infoThe IDE can access other DBMS or ODBC-sources.gRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
Android
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
JCache
JPA
Memcached protocol
RESTful HTTP API
Supported programming languagesC
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
dBase proprietary IDEC#
C++
Go
Java
JavaScript (Node.js)
Python
Go
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
Server-side scripts infoStored proceduresJava Stored Proceduresno infoThe IDE can access stored procedures in other database systems.noyes, Firebase Rules & Cloud Functionsyes infoEvent Listeners, Executor Services
Triggersyesnonoyes, with Cloud Functionsyes infoEvents
Partitioning methods infoMethods for storing different data on different nodesnonenoneShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationnoneInternal replication in Colossus, and regional replication between two clusters in different zonesMulti-source replicationyes infoReplicated Map
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesUsing Cloud Dataflowyes
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 ConsistencyImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus Algorithm
Foreign keys infoReferential integrityyesyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno infonot for dBase internal data, but IDE does support transactions when accessing external DBMSAtomic single-row operationsyesone or two-phase-commit; repeatable reads; read commited
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
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.nonoyes
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users and rolesAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Access rights for users, groups and roles based on Google Cloud Identity and Access Management. Security Rules for 3rd party authentication using Firebase Auth.Role-based access control

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More resources
CubriddBASEGoogle Cloud BigtableGoogle Cloud FirestoreHazelcast
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