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DBMS > Badger vs. Brytlyt vs. FileMaker vs. openGemini vs. Splice Machine

System Properties Comparison Badger vs. Brytlyt vs. FileMaker vs. openGemini vs. Splice Machine

Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonBrytlyt  Xexclude from comparisonFileMaker  Xexclude from comparisonopenGemini  Xexclude from comparisonSplice Machine  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.An open source distributed Time Series DBMS with high concurrency, high performance, and high scalabilityOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark
Primary database modelKey-value storeRelational DBMSRelational DBMSTime Series DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.14
Rank#331  Overall
#49  Key-value stores
Score0.29
Rank#288  Overall
#131  Relational DBMS
Score48.20
Rank#20  Overall
#14  Relational DBMS
Score0.01
Rank#375  Overall
#39  Time Series DBMS
Score0.54
Rank#250  Overall
#114  Relational DBMS
Websitegithub.com/­dgraph-io/­badgerbrytlyt.iowww.claris.com/­filemakerwww.opengemini.org
github.com/­openGemini
splicemachine.com
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgerdocs.brytlyt.iowww.claris.com/­resources/­documentationdocs.opengemini.org/­guidesplicemachine.com/­how-it-works
DeveloperDGraph LabsBrytlytClaris infoa subsidiary of AppleHuawei and openGemini communitySplice Machine
Initial release20172016198320222014
Current release5.0, August 202319.4.1, November 20211.1, July 20233.1, March 2021
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialcommercialOpen Source infoApache Version 2.0Open Source infoAGPL 3.0, commercial license available
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 CUDAGoJava
Server operating systemsBSD
Linux
OS X
Solaris
Windows
Linux
OS X
Windows
iOS infoclient part only
Linux
OS X
Windows
Linux
Windows
Linux
OS X
Solaris
Windows
Data schemeschema-freeyesyesschema-freeyes
Typing infopredefined data types such as float or datenoyesyesInteger, Float, Boolean, Stringyes
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 indexesnoyesyesyesyes
SQL infoSupport of SQLnoyesyes infovia pluginsSQL-like query languageyes
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Filemaker WebDirect
JDBC
ODBC
HTTP RESTJDBC
Native Spark Datasource
ODBC
Supported programming languagesGo.Net
C
C++
Delphi
Java
Perl
Python
Tcl
PHPC
C++
Go
Java
JavaScript (Node.js)
Python
Rust
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresnouser defined functions infoin PL/pgSQLyesnoyes infoJava
Triggersnoyesyesnoyes
Partitioning methods infoMethods for storing different data on different nodesnonenoneShardingShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSource-replica replicationSource-replica replication, warm standby infosince Version 14yesMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononoYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes, multi-version concurrency control (MVCC)
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.noyesyes
User concepts infoAccess controlnofine grained access rights according to SQL-standardsimple rights management via user accounts and connection to external directory servicesAdministrators and common users accountsAccess rights for users, groups and roles according to SQL-standard

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More resources
BadgerBrytlytFileMakeropenGeminiSplice Machine
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