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

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

Editorial information provided by DB-Engines
NamedBASE  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonGoogle Cloud Firestore  Xexclude from comparisonHazelcast  Xexclude from comparisonHyprcubd  Xexclude from comparison
Hyprcubd 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.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 gridServerless Time Series DBMS
Primary database modelRelational DBMSKey-value store
Wide column store
Document storeKey-value storeTime Series DBMS
Secondary database modelsDocument store infoJSON support with IMDG 3.12
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score11.18
Rank#44  Overall
#28  Relational DBMS
Score3.58
Rank#92  Overall
#14  Key-value stores
#8  Wide column stores
Score8.96
Rank#48  Overall
#8  Document stores
Score6.87
Rank#55  Overall
#6  Key-value stores
Websitewww.dbase.comcloud.google.com/­bigtablefirebase.google.com/­products/­firestorehazelcast.comhyprcubd.com (offline)
Technical documentationwww.dbase.com/­support/­knowledgebasecloud.google.com/­bigtable/­docsfirebase.google.com/­docs/­firestorehazelcast.org/­imdg/­docs
DeveloperAsthon TateGoogleGoogleHazelcastHyprcubd, Inc.
Initial release1979201520172008
Current releasedBASE 2019, 20195.3.6, November 2023
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source infoApache Version 2; commercial licenses availablecommercial
Cloud-based only infoOnly available as a cloud servicenoyesyesnoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaGo
Server operating systemsDOS infodBase Classic
Windows infodBase Pro
hostedhostedAll OS with a Java VMhosted
Data schemeyesschema-freeschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesnoyesyesyes infotime, int, uint, float, string
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.nonoyes infothe object must implement a serialization strategyno
Secondary indexesyesnoyesyesno
SQL infoSupport of SQLnononoSQL-like query languageSQL-like query language
APIs and other access methodsnone 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
gRPC (https)
Supported programming languagesdBase 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 proceduresno infoThe IDE can access stored procedures in other database systems.noyes, Firebase Rules & Cloud Functionsyes infoEvent Listeners, Executor Servicesno
Triggersnonoyes, with Cloud Functionsyes infoEventsno
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneInternal 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 methodsnoyesUsing Cloud Dataflowyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Immediate ConsistencyImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmEventual Consistency
Foreign keys infoReferential integrityyesnononono
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 DBMSAtomic single-row operationsyesone or two-phase-commit; repeatable reads; read commitedno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesno
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.noyesno
User concepts infoAccess controlAccess 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 controltoken access

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More resources
dBASEGoogle Cloud BigtableGoogle Cloud FirestoreHazelcastHyprcubd
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