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DBMS > Apache Doris vs. dBASE vs. Google Cloud Firestore vs. Hawkular Metrics vs. Hazelcast

System Properties Comparison Apache Doris vs. dBASE vs. Google Cloud Firestore vs. Hawkular Metrics vs. Hazelcast

Editorial information provided by DB-Engines
NameApache Doris  Xexclude from comparisondBASE  Xexclude from comparisonGoogle Cloud Firestore  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonHazelcast  Xexclude from comparison
DescriptionAn MPP-based analytics DBMS embracing the MySQL protocoldBase 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.Hawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.A widely adopted in-memory data grid
Primary database modelRelational DBMSRelational DBMSDocument storeTime Series DBMSKey-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
Score0.57
Rank#244  Overall
#113  Relational DBMS
Score10.34
Rank#44  Overall
#28  Relational DBMS
Score7.85
Rank#51  Overall
#8  Document stores
Score0.00
Rank#379  Overall
#40  Time Series DBMS
Score5.97
Rank#57  Overall
#6  Key-value stores
Websitedoris.apache.org
github.com/­apache/­doris
www.dbase.comfirebase.google.com/­products/­firestorewww.hawkular.orghazelcast.com
Technical documentationgithub.com/­apache/­doris/­wikiwww.dbase.com/­support/­knowledgebasefirebase.google.com/­docs/­firestorewww.hawkular.org/­hawkular-metrics/­docs/­user-guidehazelcast.org/­imdg/­docs
DeveloperApache Software Foundation, originally contributed from BaiduAsthon TateGoogleCommunity supported by Red HatHazelcast
Initial release20171979201720142008
Current release1.2.2, February 2023dBASE 2019, 20195.3.6, November 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialcommercialOpen Source infoApache 2.0Open Source infoApache Version 2; commercial licenses available
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJavaJava
Server operating systemsLinuxDOS infodBase Classic
Windows infodBase Pro
hostedLinux
OS X
Windows
All OS with a Java VM
Data schemeyesyesschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyesyesyes
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 indexesyesyesyesnoyes
SQL infoSupport of SQLyesnononoSQL-like query language
APIs and other access methodsJDBC
MySQL client
none infoThe IDE can access other DBMS or ODBC-sources.Android
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
HTTP RESTJCache
JPA
Memcached protocol
RESTful HTTP API
Supported programming languagesJavadBase proprietary IDEGo
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
Go
Java
Python
Ruby
.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
Server-side scripts infoStored proceduresuser defined functionsno infoThe IDE can access stored procedures in other database systems.yes, Firebase Rules & Cloud Functionsnoyes infoEvent Listeners, Executor Services
Triggersnonoyes, with Cloud Functionsyes infovia Hawkular Alertingyes infoEvents
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningnoneShardingSharding infobased on CassandraSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnonenoneMulti-source replicationselectable replication factor infobased on Cassandrayes infoReplicated Map
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoUsing Cloud Dataflownoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate Consistency or Eventual Consistency selectable by user infoRaft Consensus Algorithm
Foreign keys infoReferential integritynoyesnonono
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 DBMSyesnoone 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. Security Rules for 3rd party authentication using Firebase Auth.noRole-based access control

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More resources
Apache DorisdBASEGoogle Cloud FirestoreHawkular MetricsHazelcast
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