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DBMS > Badger vs. Brytlyt vs. FileMaker vs. Google Cloud Datastore vs. OpenMLDB

System Properties Comparison Badger vs. Brytlyt vs. FileMaker vs. Google Cloud Datastore vs. OpenMLDB

Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonBrytlyt  Xexclude from comparisonFileMaker  Xexclude from comparisonGoogle Cloud Datastore  Xexclude from comparisonOpenMLDB  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.Automatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformAn open-source machine learning database that provides a feature platform for training and inference
Primary database modelKey-value storeRelational DBMSRelational DBMSDocument storeTime Series DBMS
Secondary database modelsRelational 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
Score4.36
Rank#72  Overall
#12  Document stores
Score0.10
Rank#359  Overall
#36  Time Series DBMS
Websitegithub.com/­dgraph-io/­badgerbrytlyt.iowww.claris.com/­filemakercloud.google.com/­datastoreopenmldb.ai
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgerdocs.brytlyt.iowww.claris.com/­resources/­documentationcloud.google.com/­datastore/­docsopenmldb.ai/­docs/­zh/­main
DeveloperDGraph LabsBrytlytClaris infoa subsidiary of AppleGoogle4 Paradigm Inc.
Initial release20172016198320082020
Current release5.0, August 202319.4.1, November 20212024-2 February 2024
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialcommercialcommercialOpen Source
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoC, C++ and CUDAC++, Java, Scala
Server operating systemsBSD
Linux
OS X
Solaris
Windows
Linux
OS X
Windows
iOS infoclient part only
Linux
OS X
Windows
hostedLinux
Data schemeschema-freeyesyesschema-freeFixed schema
Typing infopredefined data types such as float or datenoyesyesyes, details hereyes
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 formatnono
Secondary indexesnoyesyesyesyes
SQL infoSupport of SQLnoyesyes infovia pluginsSQL-like query language (GQL)yes
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Filemaker WebDirect
JDBC
ODBC
gRPC (using protocol buffers) API
RESTful HTTP/JSON API
JDBC
SQLAlchemy
Supported programming languagesGo.Net
C
C++
Delphi
Java
Perl
Python
Tcl
PHP.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C++
Go
Java
Python
Scala
Server-side scripts infoStored proceduresnouser defined functions infoin PL/pgSQLyesusing Google App Engineno
TriggersnoyesyesCallbacks using the Google Apps Engineno
Partitioning methods infoMethods for storing different data on different nodesnonenoneShardinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSource-replica replicationSource-replica replication, warm standby infosince Version 14Multi-source replication using PaxosSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes infousing Google Cloud Dataflow
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate 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.Immediate Consistency
Foreign keys infoReferential integritynoyesyesyes infovia ReferenceProperties or Ancestor pathsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoACID infoSerializable Isolation within Transactions, Read Committed outside of Transactionsno
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 controlnofine grained access rights according to SQL-standardsimple 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)fine grained access rights according to SQL-standard

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More resources
BadgerBrytlytFileMakerGoogle Cloud DatastoreOpenMLDB
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