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DBMS > Badger vs. Brytlyt vs. EDB Postgres vs. FileMaker vs. Kinetica

System Properties Comparison Badger vs. Brytlyt vs. EDB Postgres vs. FileMaker vs. Kinetica

Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonBrytlyt  Xexclude from comparisonEDB Postgres  Xexclude from comparisonFileMaker  Xexclude from comparisonKinetica  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 PostgreSQLThe EDB Postgres Platform is an enterprise-class data management platform based on the open source database PostgreSQL with flexible deployment options and Oracle compatibility features, complemented by tool kits for management, integration, and migration.FileMaker is a cross-platform RDBMS that includes a GUI frontend.Fully vectorized database across both GPUs and CPUs
Primary database modelKey-value storeRelational DBMSRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.20
Rank#325  Overall
#49  Key-value stores
Score0.38
Rank#279  Overall
#126  Relational DBMS
Score2.18
Rank#122  Overall
#59  Relational DBMS
Score49.73
Rank#20  Overall
#14  Relational DBMS
Score0.69
Rank#234  Overall
#107  Relational DBMS
Websitegithub.com/­dgraph-io/­badgerbrytlyt.iowww.enterprisedb.comwww.claris.com/­filemakerwww.kinetica.com
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgerdocs.brytlyt.iowww.enterprisedb.com/­docswww.claris.com/­resources/­documentationdocs.kinetica.com
DeveloperDGraph LabsBrytlytEnterpriseDBClaris infoa subsidiary of AppleKinetica
Initial release20172016200519832012
Current release5.0, August 202314, December 202119.4.1, November 20217.1, August 2021
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialcommercial infoBSD for PostgreSQL-componentscommercialcommercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoC, C++ and CUDACC, C++
Server operating systemsBSD
Linux
OS X
Solaris
Windows
Linux
OS X
Windows
Linux
Windows
iOS infoclient part only
Linux
OS X
Windows
Linux
Data schemeschema-freeyesyesyesyes
Typing infopredefined data types such as float or datenoyesyesyesyes
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 infospecific XML-type available, but no XML query functionality.yes infoA http query request can return the data in XML formatno
Secondary indexesnoyesyesyesyes
SQL infoSupport of SQLnoyesyes infostandard with numerous extensionsyes infovia pluginsSQL-like DML and DDL statements
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Filemaker WebDirect
JDBC
ODBC
JDBC
ODBC
RESTful HTTP API
Supported programming languagesGo.Net
C
C++
Delphi
Java
Perl
Python
Tcl
.Net
C
C++
Delphi
Java
Perl
PHP
Python
Tcl
PHPC++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnouser defined functions infoin PL/pgSQLuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.yesuser defined functions
Triggersnoyesyesyesyes infotriggers when inserted values for one or more columns fall within a specified range
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioning infoby hash, list or rangenoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSource-replica replicationMulti-source replicationSource-replica replication, warm standby infosince Version 14Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynoyesyesyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yesyes
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 infoGPU vRAM or System RAM
User concepts infoAccess controlnofine grained access rights according to SQL-standardfine grained access rights according to SQL-standardsimple rights management via user accounts and connection to external directory servicesAccess rights for users and roles on table level

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More resources
BadgerBrytlytEDB PostgresFileMakerKinetica
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