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DBMS > dBASE vs. Google Cloud Firestore vs. Hazelcast vs. XTDB

System Properties Comparison dBASE vs. Google Cloud Firestore vs. Hazelcast vs. XTDB

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Editorial information provided by DB-Engines
NamedBASE  Xexclude from comparisonGoogle Cloud Firestore  Xexclude from comparisonHazelcast  Xexclude from comparisonXTDB infoformerly named Crux  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.A widely adopted in-memory data gridA general purpose database with bitemporal SQL and Datalog and graph queries
Primary database modelRelational DBMSDocument storeKey-value storeDocument store
Secondary database modelsDocument store infoJSON support with IMDG 3.12
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score12.24
Rank#43  Overall
#27  Relational DBMS
Score9.97
Rank#47  Overall
#8  Document stores
Score7.66
Rank#54  Overall
#5  Key-value stores
Score0.16
Rank#336  Overall
#48  Document stores
Websitewww.dbase.comfirebase.google.com/­products/­firestorehazelcast.comgithub.com/­xtdb/­xtdb
www.xtdb.com
Technical documentationwww.dbase.com/­support/­knowledgebasefirebase.google.com/­docs/­firestorehazelcast.org/­imdg/­docswww.xtdb.com/­docs
DeveloperAsthon TateGoogleHazelcastJuxt Ltd.
Initial release1979201720082019
Current releasedBASE 2019, 20195.3.6, November 20231.19, September 2021
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache Version 2; commercial licenses availableOpen Source infoMIT License
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaClojure
Server operating systemsDOS infodBase Classic
Windows infodBase Pro
hostedAll OS with a Java VMAll OS with a Java 8 (and higher) VM
Linux
Data schemeyesschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyesyes, extensible-data-notation format
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.noyes infothe object must implement a serialization strategyno
Secondary indexesyesyesyesyes
SQL infoSupport of SQLnonoSQL-like query languagelimited SQL, making use of Apache Calcite
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
JCache
JPA
Memcached protocol
RESTful HTTP API
HTTP REST
JDBC
Supported programming languagesdBase proprietary IDEGo
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
Clojure
Java
Server-side scripts infoStored proceduresno infoThe IDE can access stored procedures in other database systems.yes, Firebase Rules & Cloud Functionsyes infoEvent Listeners, Executor Servicesno
Triggersnoyes, with Cloud Functionsyes infoEventsno
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replicationyes infoReplicated Mapyes, each node contains all data
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoUsing Cloud Dataflowyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus Algorithm
Foreign keys infoReferential integrityyesnonono
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 DBMSyesone or two-phase-commit; repeatable reads; read commitedACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes, flexibel persistency by using storage technologies like Apache Kafka, RocksDB or LMDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes
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.Role-based access control

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More resources
dBASEGoogle Cloud FirestoreHazelcastXTDB infoformerly named Crux
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