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DBMS > Badger vs. Faircom DB vs. FileMaker vs. JanusGraph vs. Teradata

System Properties Comparison Badger vs. Faircom DB vs. FileMaker vs. JanusGraph vs. Teradata

Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonFaircom DB infoformerly c-treeACE  Xexclude from comparisonFileMaker  Xexclude from comparisonJanusGraph infosuccessor of Titan  Xexclude from comparisonTeradata  Xexclude from comparison
DescriptionAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.Native high-speed multi-model DBMS for relational and key-value store data simultaneously accessible through SQL and NoSQL APIs.FileMaker is a cross-platform RDBMS that includes a GUI frontend.A Graph DBMS optimized for distributed clusters infoIt was forked from the latest code base of Titan in January 2017A hybrid cloud data analytics software platform (Teradata Vantage)
Primary database modelKey-value storeKey-value store
Relational DBMS
Relational DBMSGraph DBMSRelational DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.14
Rank#331  Overall
#49  Key-value stores
Score0.20
Rank#318  Overall
#48  Key-value stores
#141  Relational DBMS
Score48.20
Rank#20  Overall
#14  Relational DBMS
Score1.94
Rank#129  Overall
#12  Graph DBMS
Score45.33
Rank#21  Overall
#15  Relational DBMS
Websitegithub.com/­dgraph-io/­badgerwww.faircom.com/­products/­faircom-dbwww.claris.com/­filemakerjanusgraph.orgwww.teradata.com
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgerdocs.faircom.com/­docs/­en/­UUID-7446ae34-a1a7-c843-c894-d5322e395184.htmlwww.claris.com/­resources/­documentationdocs.janusgraph.orgdocs.teradata.com
DeveloperDGraph LabsFairCom CorporationClaris infoa subsidiary of AppleLinux Foundation; originally developed as Titan by AureliusTeradata
Initial release20171979198320171984
Current releaseV12, November 202019.4.1, November 20210.6.3, February 2023Teradata Vantage 1.0 MU2, January 2019
License infoCommercial or Open SourceOpen Source infoApache 2.0commercial infoRestricted, free version availablecommercialOpen Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoANSI C, C++Java
Server operating systemsBSD
Linux
OS X
Solaris
Windows
AIX
FreeBSD
HP-UX
Linux
NetBSD
OS X
QNX
SCO
Solaris
VxWorks
Windows infoeasily portable to other OSs
iOS infoclient part only
Linux
OS X
Windows
Linux
OS X
Unix
Windows
hosted
Linux
Data schemeschema-freeschema free, schema optional, schema required, partial schema,yesyesyes
Typing infopredefined data types such as float or datenoyes, ANSI SQL Types, JSON, typed binary structuresyesyesyes
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 infoA http query request can return the data in XML formatnoyes
Secondary indexesnoyesyesyesyes infoJoin-index to prejoin tables, aggregate index, sparse index, hash index
SQL infoSupport of SQLnoyes, ANSI SQL with proprietary extensionsyes infovia pluginsnoyes infoSQL 2016 + extensions
APIs and other access methodsADO.NET
Direct SQL
JDBC
JPA
ODBC
RESTful HTTP/JSON API
RESTful MQTT/JSON API
RPC
Filemaker WebDirect
JDBC
ODBC
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
.NET Client API
HTTP REST
JDBC
JMS Adapter
ODBC
OLE DB
Supported programming languagesGo.Net
C
C#
C++
Java
JavaScript (Node.js and browser)
PHP
Python
Visual Basic
PHPClojure
Java
Python
C
C++
Cobol
Java (JDBC-ODBC)
Perl
PL/1
Python
R
Ruby
Server-side scripts infoStored proceduresnoyes info.Net, JavaScript, C/C++yesyesyes infoUDFs, stored procedures, table functions in parallel
Triggersnoyesyesyesyes
Partitioning methods infoMethods for storing different data on different nodesnoneFile partitioning, horizontal partitioning, sharding infoCustomizable business rules for table partitioningnoneyes infodepending on the used storage backend (e.g. Cassandra, HBase, BerkeleyDB)Sharding infoHashing
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyes, configurable to be parallel or serial, synchronous or asynchronous, uni-directional or bi-directional, ACID-consistent or eventually consistent (with custom conflict resolution).Source-replica replication, warm standby infosince Version 14yesMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes infovia Faunus, a graph analytics engineno
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneEventual Consistency
Immediate Consistency
Tunable consistency per server, database, table, and transaction
Eventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integritynoyesyesyes infoRelationships in graphsyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanotunable from ACID to Eventually ConsistentnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesYes, tunable from durable to delayed durability to in-memoryyesyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcastyes
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-standard with additional protections for filessimple rights management via user accounts and connection to external directory servicesUser authentification and security via Rexster Graph Serverfine grained access rights according to SQL-standard

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More resources
BadgerFaircom DB infoformerly c-treeACEFileMakerJanusGraph infosuccessor of TitanTeradata
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