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DBMS > dBASE vs. Google Cloud Firestore vs. GridDB vs. GridGain vs. Quasardb

System Properties Comparison dBASE vs. Google Cloud Firestore vs. GridDB vs. GridGain vs. Quasardb

Editorial information provided by DB-Engines
NamedBASE  Xexclude from comparisonGoogle Cloud Firestore  Xexclude from comparisonGridDB  Xexclude from comparisonGridGain  Xexclude from comparisonQuasardb  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.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.Scalable in-memory time series database optimized for IoT and Big DataGridGain is an in-memory computing platform, built on Apache IgniteDistributed, high-performance timeseries database
Primary database modelRelational DBMSDocument storeTime Series DBMSKey-value store
Relational DBMS
Time Series DBMS
Secondary database modelsKey-value store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score11.18
Rank#44  Overall
#28  Relational DBMS
Score8.96
Rank#48  Overall
#8  Document stores
Score2.02
Rank#132  Overall
#11  Time Series DBMS
Score1.53
Rank#155  Overall
#26  Key-value stores
#73  Relational DBMS
Score0.19
Rank#327  Overall
#30  Time Series DBMS
Websitewww.dbase.comfirebase.google.com/­products/­firestoregriddb.netwww.gridgain.comquasar.ai
Technical documentationwww.dbase.com/­support/­knowledgebasefirebase.google.com/­docs/­firestoredocs.griddb.netwww.gridgain.com/­docs/­index.htmldoc.quasar.ai/­master
DeveloperAsthon TateGoogleToshiba CorporationGridGain Systems, Inc.quasardb
Initial release19792017201320072009
Current releasedBASE 2019, 20195.1, August 2022GridGain 8.5.13.14.1, January 2024
License infoCommercial or Open SourcecommercialcommercialOpen Source infoAGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also availablecommercialcommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licenses
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++Java, C++, .NetC++
Server operating systemsDOS infodBase Classic
Windows infodBase Pro
hostedLinuxLinux
OS X
Solaris
Windows
BSD
Linux
OS X
Windows
Data schemeyesschema-freeyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyes infonumerical, string, blob, geometry, boolean, timestampyesyes infointeger and binary
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.nonoyesno
Secondary indexesyesyesyesyesyes infowith tags
SQL infoSupport of SQLnonoSQL92, SQL-like TQL (Toshiba Query Language)ANSI-99 for query and DML statements, subset of DDLSQL-like query language
APIs and other access methodsnone infoThe IDE can access other DBMS or ODBC-sources.Android
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
JDBC
ODBC
Proprietary protocol
RESTful HTTP/JSON API
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
HTTP API
Supported programming languagesdBase proprietary IDEGo
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
C
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C#
C++
Java
PHP
Python
Ruby
Scala
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Server-side scripts infoStored proceduresno infoThe IDE can access stored procedures in other database systems.yes, Firebase Rules & Cloud Functionsnoyes (compute grid and cache interceptors can be used instead)no
Triggersnoyes, with Cloud Functionsyesyes (cache interceptors and events)no
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardingShardingSharding infoconsistent hashing
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replicationSource-replica replicationyes (replicated cache)Source-replica replication with selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoUsing Cloud DataflowConnector for using GridDB as an input source and output destination for Hadoop MapReduce jobsyes (compute grid and hadoop accelerator)with Hadoop integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate consistency within container, eventual consistency across containersImmediate ConsistencyImmediate 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 DBMSyesACID at container levelACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes infoby using LevelDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes infoTransient mode
User concepts infoAccess controlAccess rights for users and rolesAccess rights for users, groups and roles based on Google Cloud Identity and Access Management. Security Rules for 3rd party authentication using Firebase Auth.Access rights for users can be defined per databaseSecurity Hooks for custom implementationsCryptographically strong user authentication and audit trail
More information provided by the system vendor
dBASEGoogle Cloud FirestoreGridDBGridGainQuasardb
Specific characteristicsGridDB is a highly scalable, in-memory time series database optimized for IoT and...
» more
Competitive advantages1. Optimized for IoT Equipped with Toshiba's proprietary key-container data model...
» more
Typical application scenariosFactory IoT, Automative Industry, Energy, BEMS, Smart Community, Monitoring system.
» more
Key customersDenso International [see use case ] An Electric Power company [see use case ] Ishinomaki...
» more
Market metricsGitHub trending repository
» more
Licensing and pricing modelsOpen Source license (AGPL v3 & Apache v2) Commercial license (subscription)
» more

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
dBASEGoogle Cloud FirestoreGridDBGridGainQuasardb
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