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DBMS > Apache Phoenix vs. FileMaker vs. Google Cloud Datastore vs. Graphite vs. Percona Server for MongoDB

System Properties Comparison Apache Phoenix vs. FileMaker vs. Google Cloud Datastore vs. Graphite vs. Percona Server for MongoDB

Editorial information provided by DB-Engines
NameApache Phoenix  Xexclude from comparisonFileMaker  Xexclude from comparisonGoogle Cloud Datastore  Xexclude from comparisonGraphite  Xexclude from comparisonPercona Server for MongoDB  Xexclude from comparison
DescriptionA scale-out RDBMS with evolutionary schema built on Apache HBaseFileMaker is a cross-platform RDBMS that includes a GUI frontend.Automatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformData logging and graphing tool for time series data infoThe storage layer (fixed size database) is called WhisperA drop-in replacement for MongoDB Community Edition with enterprise-grade features.
Primary database modelRelational DBMSRelational DBMSDocument storeTime Series DBMSDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.97
Rank#126  Overall
#59  Relational DBMS
Score48.20
Rank#20  Overall
#14  Relational DBMS
Score4.47
Rank#76  Overall
#12  Document stores
Score4.57
Rank#73  Overall
#5  Time Series DBMS
Score0.52
Rank#254  Overall
#39  Document stores
Websitephoenix.apache.orgwww.claris.com/­filemakercloud.google.com/­datastoregithub.com/­graphite-project/­graphite-webwww.percona.com/­mongodb/­software/­percona-server-for-mongodb
Technical documentationphoenix.apache.orgwww.claris.com/­resources/­documentationcloud.google.com/­datastore/­docsgraphite.readthedocs.iodocs.percona.com/­percona-distribution-for-mongodb
DeveloperApache Software FoundationClaris infoa subsidiary of AppleGoogleChris DavisPercona
Initial release20141983200820062015
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 201919.4.1, November 20213.4.10-2.10, November 2017
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialcommercialOpen Source infoApache 2.0Open Source infoGPL Version 2
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaPythonC++
Server operating systemsLinux
Unix
Windows
iOS infoclient part only
Linux
OS X
Windows
hostedLinux
Unix
Linux
Data schemeyes infolate-bound, schema-on-read capabilitiesyesschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyesyes, details hereNumeric data onlyyes
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 infoA http query request can return the data in XML formatnonono
Secondary indexesyesyesyesnoyes
SQL infoSupport of SQLyesyes infovia pluginsSQL-like query language (GQL)nono
APIs and other access methodsJDBCFilemaker WebDirect
JDBC
ODBC
gRPC (using protocol buffers) API
RESTful HTTP/JSON API
HTTP API
Sockets
proprietary protocol using JSON
Supported programming languagesC
C#
C++
Go
Groovy
Java
PHP
Python
Scala
PHP.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
JavaScript (Node.js)
Python
Actionscript
C
C#
C++
Clojure
ColdFusion
D
Dart
Delphi
Erlang
Go
Groovy
Haskell
Java
JavaScript
Lisp
Lua
MatLab
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Scala
Smalltalk
Server-side scripts infoStored proceduresuser defined functionsyesusing Google App EnginenoJavaScript
TriggersnoyesCallbacks using the Google Apps Enginenono
Partitioning methods infoMethods for storing different data on different nodesShardingnoneShardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Source-replica replication, warm standby infosince Version 14Multi-source replication using PaxosnoneSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsHadoop integrationnoyes infousing Google Cloud Dataflownoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyImmediate Consistency or Eventual Consistency depending on type of query and configuration infoStrong Consistency is default for entity lookups and queries within an Entity Group (but can instead be made eventually consistent). Other queries are always eventual consistent.noneEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynoyesyes infovia ReferenceProperties or Ancestor pathsnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID infoSerializable Isolation within Transactions, Read Committed outside of Transactionsnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infolockingyes
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.yesnoyes infovia In-Memory Engine
User concepts infoAccess controlAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancysimple rights management via user accounts and connection to external directory servicesAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)noAccess rights for users and roles

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More resources
Apache PhoenixFileMakerGoogle Cloud DatastoreGraphitePercona Server for MongoDB
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