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DBMS > Apache Phoenix vs. Dolt vs. Google Cloud Firestore vs. OpenEdge

System Properties Comparison Apache Phoenix vs. Dolt vs. Google Cloud Firestore vs. OpenEdge

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Editorial information provided by DB-Engines
NameApache Phoenix  Xexclude from comparisonDolt  Xexclude from comparisonGoogle Cloud Firestore  Xexclude from comparisonOpenEdge  Xexclude from comparison
DescriptionA scale-out RDBMS with evolutionary schema built on Apache HBaseA MySQL compatible DBMS with Git-like versioning of data and schemaCloud 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.Application development environment with integrated database management system
Primary database modelRelational DBMSRelational DBMSDocument storeRelational DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.06
Rank#123  Overall
#58  Relational DBMS
Score1.02
Rank#191  Overall
#89  Relational DBMS
Score7.36
Rank#53  Overall
#9  Document stores
Score3.45
Rank#85  Overall
#46  Relational DBMS
Websitephoenix.apache.orggithub.com/­dolthub/­dolt
www.dolthub.com
firebase.google.com/­products/­firestorewww.progress.com/­openedge
Technical documentationphoenix.apache.orgdocs.dolthub.comfirebase.google.com/­docs/­firestoredocumentation.progress.com/­output/­ua/­OpenEdge_latest
DeveloperApache Software FoundationDoltHub IncGoogleProgress Software Corporation
Initial release2014201820171984
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 2019OpenEdge 12.2, March 2020
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache Version 2.0commercialcommercial
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaGo
Server operating systemsLinux
Unix
Windows
Linux
macOS
Windows
hostedAIX
HP-UX
Linux
Solaris
Windows
Data schemeyes infolate-bound, schema-on-read capabilitiesyesschema-freeyes
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.nononoyes
Secondary indexesyesyesyesyes
SQL infoSupport of SQLyesyesnoyes infoclose to SQL 92
APIs and other access methodsJDBCCLI Client
HTTP REST
Android
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
JDBC
ODBC
Supported programming languagesC
C#
C++
Go
Groovy
Java
PHP
Python
Scala
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Go
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
Progress proprietary ABL (Advanced Business Language)
Server-side scripts infoStored proceduresuser defined functionsyes infocurrently in alpha releaseyes, Firebase Rules & Cloud Functionsyes
Triggersnoyesyes, with Cloud Functionsyes
Partitioning methods infoMethods for storing different data on different nodesShardingnoneShardinghorizontal partitioning infosince Version 11.4
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
A database can be cloned to multiple locations and be used there in isolation. Data/schema changes can be pushed/pulled explicitly between locations.Multi-source replicationSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsHadoop integrationnoUsing Cloud Dataflowno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDyesACID
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.yesno
User concepts infoAccess controlAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancyOnly one user is configurable, and must be specified in the config file at startupAccess rights for users, groups and roles based on Google Cloud Identity and Access Management. Security Rules for 3rd party authentication using Firebase Auth.Users and groups

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More resources
Apache PhoenixDoltGoogle Cloud FirestoreOpenEdge
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