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DBMS > Badger vs. Databricks vs. eXtremeDB vs. FileMaker vs. Realm

System Properties Comparison Badger vs. Databricks vs. eXtremeDB vs. FileMaker vs. Realm

Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonDatabricks  Xexclude from comparisoneXtremeDB  Xexclude from comparisonFileMaker  Xexclude from comparisonRealm  Xexclude from comparison
DescriptionAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.The Databricks Lakehouse Platform combines elements of data lakes and data warehouses to provide a unified view onto structured and unstructured data. It is based on Apache Spark.Natively in-memory DBMS with options for persistency, high-availability and clusteringFileMaker is a cross-platform RDBMS that includes a GUI frontend.A DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core Data
Primary database modelKey-value storeDocument store
Relational DBMS
Relational DBMS
Time Series DBMS
Relational DBMSDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.22
Rank#320  Overall
#47  Key-value stores
Score81.08
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score0.80
Rank#214  Overall
#99  Relational DBMS
#18  Time Series DBMS
Score47.91
Rank#20  Overall
#14  Relational DBMS
Score7.41
Rank#52  Overall
#8  Document stores
Websitegithub.com/­dgraph-io/­badgerwww.databricks.comwww.mcobject.comwww.claris.com/­filemakerrealm.io
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgerdocs.databricks.comwww.mcobject.com/­docs/­extremedb.htmwww.claris.com/­resources/­documentationrealm.io/­docs
DeveloperDGraph LabsDatabricksMcObjectClaris infoa subsidiary of AppleRealm, acquired by MongoDB in May 2019
Initial release20172013200119832014
Current release8.2, 202119.4.1, November 2021
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialcommercialcommercialOpen Source
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoC and C++
Server operating systemsBSD
Linux
OS X
Solaris
Windows
hostedAIX
HP-UX
Linux
macOS
Solaris
Windows
iOS infoclient part only
Linux
OS X
Windows
Android
Backend: server-less
iOS
Windows
Data schemeschema-freeFlexible Schema (defined schema, partial schema, schema free)yesyesyes
Typing infopredefined data types such as float or datenoyesyesyes
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.noyesno infosupport of XML interfaces availableyes infoA http query request can return the data in XML formatno
Secondary indexesnoyesyesyesyes
SQL infoSupport of SQLnowith Databricks SQLyes infowith the option: eXtremeSQLyes infovia pluginsno
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
.NET Client API
JDBC
JNI
ODBC
Proprietary protocol
RESTful HTTP API
Filemaker WebDirect
JDBC
ODBC
Supported programming languagesGoPython
R
Scala
.Net
C
C#
C++
Java
Lua
Python
Scala
PHP.Net
Java infowith Android only
Objective-C
React Native
Swift
Server-side scripts infoStored proceduresnouser defined functions and aggregatesyesyesno inforuns within the applications so server-side scripts are unnecessary
Triggersnoyes infoby defining eventsyesyes infoChange Listeners
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioning / shardingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyesActive Replication Fabric™ for IoT
Multi-source replication infoby means of eXtremeDB Cluster option
Source-replica replication infoby means of eXtremeDB High Availability option
Source-replica replication, warm standby infosince Version 14none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoOptimistic (MVCC) and pessimistic (locking) strategies availableyes
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.nonoyesyes infoIn-Memory realm
User concepts infoAccess controlnosimple rights management via user accounts and connection to external directory servicesyes
More information provided by the system vendor
BadgerDatabrickseXtremeDBFileMakerRealm
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
» more
eXtremeDB is an in-memory and/or persistent database system that offers an ultra-small...
» more
Competitive advantageseXtremeDB databases can be modeled relationally or as objects and can utilize SQL...
» more
Typical application scenariosIoT application across all markets: Industrial Control, Netcom, Telecom, Defense,...
» more
Key customersSchneider Electronics, F5 Networks, TNS, Boeing, Northrop Grumman, GoPro, ViaSat,...
» more
Market metricsWith hundreds of customers and over 30 million devices/applications using the product...
» more
Licensing and pricing modelsFor server use cases, there is a simple per-server license irrespective of the number...
» more

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BadgerDatabrickseXtremeDBFileMakerRealm
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