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DBMS > AgensGraph vs. Badger vs. Brytlyt vs. FileMaker vs. IBM Db2 Event Store

System Properties Comparison AgensGraph vs. Badger vs. Brytlyt vs. FileMaker vs. IBM Db2 Event Store

Editorial information provided by DB-Engines
NameAgensGraph  Xexclude from comparisonBadger  Xexclude from comparisonBrytlyt  Xexclude from comparisonFileMaker  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparison
DescriptionMulti-model database supporting relational and graph data models and built upon PostgreSQLAn 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.Distributed Event Store optimized for Internet of Things use cases
Primary database modelGraph DBMS
Relational DBMS
Key-value storeRelational DBMSRelational DBMSEvent Store
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.20
Rank#321  Overall
#27  Graph DBMS
#143  Relational DBMS
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
Score0.19
Rank#323  Overall
#2  Event Stores
#28  Time Series DBMS
Websitebitnine.net/­agensgraphgithub.com/­dgraph-io/­badgerbrytlyt.iowww.claris.com/­filemakerwww.ibm.com/­products/­db2-event-store
Technical documentationbitnine.net/­documentationgodoc.org/­github.com/­dgraph-io/­badgerdocs.brytlyt.iowww.claris.com/­resources/­documentationwww.ibm.com/­docs/­en/­db2-event-store
DeveloperBitnine Global Inc.DGraph LabsBrytlytClaris infoa subsidiary of AppleIBM
Initial release20162017201619832017
Current release2.1, December 20185.0, August 202319.4.1, November 20212.0
License infoCommercial or Open SourceOpen Source infoApache License 2.0Open Source infoApache 2.0commercialcommercialcommercial infofree developer edition 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 languageCGoC, C++ and CUDAC and C++
Server operating systemsLinux
OS X
Windows
BSD
Linux
OS X
Solaris
Windows
Linux
OS X
Windows
iOS infoclient part only
Linux
OS X
Windows
Linux infoLinux, macOS, Windows for the developer addition
Data schemedepending on used data modelschema-freeyesyesyes
Typing infopredefined data types such as float or dateyesnoyesyesyes
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.nonoyes infospecific XML-type available, but no XML query functionality.yes infoA http query request can return the data in XML formatno
Secondary indexesyesnoyesyesno
SQL infoSupport of SQLyesnoyesyes infovia pluginsyes infothrough the embedded Spark runtime
APIs and other access methodsCypher Query Language
JDBC
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Filemaker WebDirect
JDBC
ODBC
ADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
Supported programming languagesC
Java
JavaScript
Python
Go.Net
C
C++
Delphi
Java
Perl
Python
Tcl
PHPC
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
Server-side scripts infoStored proceduresyesnouser defined functions infoin PL/pgSQLyesyes
Triggersnonoyesyesno
Partitioning methods infoMethods for storing different data on different nodesno, but can be realized using table inheritancenonenoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationnoneSource-replica replicationSource-replica replication, warm standby infosince Version 14Active-active shard replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencynoneImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyesnoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesNo - written data is immutable
Durability infoSupport for making data persistentyesyesyesyesYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storage
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes
User concepts infoAccess controlfine grained access rights according to SQL-standardnofine grained access rights according to SQL-standardsimple rights management via user accounts and connection to external directory servicesfine grained access rights according to SQL-standard

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More resources
AgensGraphBadgerBrytlytFileMakerIBM Db2 Event Store
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