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DBMS > Badger vs. Brytlyt vs. FileMaker vs. HBase vs. PieCloudDB

System Properties Comparison Badger vs. Brytlyt vs. FileMaker vs. HBase vs. PieCloudDB

Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonBrytlyt  Xexclude from comparisonFileMaker  Xexclude from comparisonHBase  Xexclude from comparisonPieCloudDB  Xexclude from comparison
DescriptionAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.Scalable GPU-accelerated RDBMS for very fast analytic and streaming workloads, leveraging PostgreSQLFileMaker is a cross-platform RDBMS that includes a GUI frontend.Wide-column store based on Apache Hadoop and on concepts of BigTableA cloud-native analytic database platform with new technologoy for elastic MPP
Primary database modelKey-value storeRelational DBMSRelational DBMSWide column storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.22
Rank#320  Overall
#47  Key-value stores
Score0.38
Rank#276  Overall
#127  Relational DBMS
Score47.91
Rank#20  Overall
#14  Relational DBMS
Score27.97
Rank#26  Overall
#2  Wide column stores
Score0.32
Rank#289  Overall
#133  Relational DBMS
Websitegithub.com/­dgraph-io/­badgerbrytlyt.iowww.claris.com/­filemakerhbase.apache.orgwww.openpie.com
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgerdocs.brytlyt.iowww.claris.com/­resources/­documentationhbase.apache.org/­book.html
DeveloperDGraph LabsBrytlytClaris infoa subsidiary of AppleApache Software Foundation infoApache top-level project, originally developed by PowersetOpenPie
Initial release2017201619832008
Current release5.0, August 202319.4.1, November 20212.3.4, January 20212.1, January 2023
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialcommercialOpen Source infoApache version 2commercial
Cloud-based only infoOnly available as a cloud servicenonononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoC, C++ and CUDAJava
Server operating systemsBSD
Linux
OS X
Solaris
Windows
Linux
OS X
Windows
iOS infoclient part only
Linux
OS X
Windows
Linux
Unix
Windows infousing Cygwin
hosted
Data schemeschema-freeyesyesschema-free, schema definition possibleyes
Typing infopredefined data types such as float or datenoyesyesoptions to bring your own types, AVROyes
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 infospecific XML-type available, but no XML query functionality.yes infoA http query request can return the data in XML formatno
Secondary indexesnoyesyesnoyes
SQL infoSupport of SQLnoyesyes infovia pluginsnoyes
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Filemaker WebDirect
JDBC
ODBC
Java API
RESTful HTTP API
Thrift
CLI Client
JDBC
ODBC
Supported programming languagesGo.Net
C
C++
Delphi
Java
Perl
Python
Tcl
PHPC
C#
C++
Groovy
Java
PHP
Python
Scala
Java
PL/SQL
Python
R
Server-side scripts infoStored proceduresnouser defined functions infoin PL/pgSQLyesyes infoCoprocessors in Javauser defined functions
Triggersnoyesyesyesno
Partitioning methods infoMethods for storing different data on different nodesnonenoneShardingyes
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSource-replica replicationSource-replica replication, warm standby infosince Version 14Multi-source replication
Source-replica replication
yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate Consistency or Eventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoSingle row ACID (across millions of columns)ACID
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.noyes
User concepts infoAccess controlnofine grained access rights according to SQL-standardsimple rights management via user accounts and connection to external directory servicesAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACUser Roles and pluggable authentication with full SQL Standard
More information provided by the system vendor
BadgerBrytlytFileMakerHBasePieCloudDB
Specific characteristicsPieCloudDB, OpenPie's flagship product, is a cutting-edge cloud-native data warehouse....
» more
Competitive advantagesExtreme Elastic: PieCloudDB utilizes a cutting-edge eMPP cloud-native architecture...
» more
Typical application scenariosPieCloudDB is ideal for Data mining applications that require extreme scalability...
» more
Key customersSail-Cloud China Shipbuilding Group Haizhou System Soochow Securities ​etc.,
» more
Licensing and pricing modelsPieCloudDB Community Edition: Community License, Free Download, Self-Hosted Deployment;...
» more

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More resources
BadgerBrytlytFileMakerHBasePieCloudDB
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