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

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

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Editorial information provided by DB-Engines
NameDatabend  Xexclude from comparisondBASE  Xexclude from comparisonGoogle Cloud Firestore  Xexclude from comparisonHazelcast  Xexclude from comparison
DescriptionAn open-source, elastic, and workload-aware cloud data warehouse designed to meet businesses' massive-scale analytics needs at low cost and with low complexitydBase 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 grid
Primary database modelRelational DBMSRelational DBMSDocument 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
Score0.30
Rank#287  Overall
#130  Relational DBMS
Score10.34
Rank#44  Overall
#28  Relational DBMS
Score7.85
Rank#51  Overall
#8  Document stores
Score5.97
Rank#57  Overall
#6  Key-value stores
Websitegithub.com/­datafuselabs/­databend
www.databend.com
www.dbase.comfirebase.google.com/­products/­firestorehazelcast.com
Technical documentationdocs.databend.comwww.dbase.com/­support/­knowledgebasefirebase.google.com/­docs/­firestorehazelcast.org/­imdg/­docs
DeveloperDatabend LabsAsthon TateGoogleHazelcast
Initial release2021197920172008
Current release1.0.59, April 2023dBASE 2019, 20195.3.6, November 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialcommercialOpen Source infoApache Version 2; commercial licenses available
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageRustJava
Server operating systemshosted
Linux
macOS
DOS infodBase Classic
Windows infodBase Pro
hostedAll OS with a Java VM
Data schemeyesyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyesyes
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 strategy
Secondary indexesnoyesyesyes
SQL infoSupport of SQLyesnonoSQL-like query language
APIs and other access methodsCLI Client
JDBC
RESTful HTTP API
none 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
Supported programming languagesGo
Java
JavaScript (Node.js)
Python
Rust
dBase proprietary IDEGo
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
Server-side scripts infoStored proceduresnono infoThe IDE can access stored procedures in other database systems.yes, Firebase Rules & Cloud Functionsyes infoEvent Listeners, Executor Services
Triggersnonoyes, with Cloud Functionsyes infoEvents
Partitioning methods infoMethods for storing different data on different nodesnonenoneShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnonenoneMulti-source replicationyes infoReplicated Map
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoUsing Cloud Dataflowyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus Algorithm
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesno infonot for dBase internal data, but IDE does support transactions when accessing external DBMSyesone or two-phase-commit; repeatable reads; read commited
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes
User concepts infoAccess controlUsers with fine-grained authorization concept, user rolesAccess 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
DatabenddBASEGoogle Cloud FirestoreHazelcast
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