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DBMS > Badger vs. Databricks vs. EJDB vs. Faircom DB vs. MaxDB

System Properties Comparison Badger vs. Databricks vs. EJDB vs. Faircom DB vs. MaxDB

Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonDatabricks  Xexclude from comparisonEJDB  Xexclude from comparisonFaircom DB infoformerly c-treeACE  Xexclude from comparisonMaxDB infoformerly named Adabas-D  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.Embeddable document-store database library with JSON representation of queries (in MongoDB style)Native high-speed multi-model DBMS for relational and key-value store data simultaneously accessible through SQL and NoSQL APIs.A robust and reliable RDBMS optimized to run all major SAP solutions
Primary database modelKey-value storeDocument store
Relational DBMS
Document storeKey-value store
Relational DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.20
Rank#325  Overall
#49  Key-value stores
Score76.33
Rank#17  Overall
#3  Document stores
#11  Relational DBMS
Score0.30
Rank#294  Overall
#44  Document stores
Score0.24
Rank#311  Overall
#44  Key-value stores
#140  Relational DBMS
Score2.65
Rank#111  Overall
#55  Relational DBMS
Websitegithub.com/­dgraph-io/­badgerwww.databricks.comgithub.com/­Softmotions/­ejdbwww.faircom.com/­products/­faircom-dbmaxdb.sap.com
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgerdocs.databricks.comgithub.com/­Softmotions/­ejdb/­blob/­master/­README.mddocs.faircom.com/­docs/­en/­UUID-7446ae34-a1a7-c843-c894-d5322e395184.htmlmaxdb.sap.com/­documentation
DeveloperDGraph LabsDatabricksSoftmotionsFairCom CorporationSAP, acquired from Software AG (Adabas-D) in 1997
Initial release20172013201219791984
Current releaseV12, November 20207.9.10.12, February 2024
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialOpen Source infoGPLv2commercial infoRestricted, free version availablecommercial infoLimited community edition free
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoCANSI C, C++C++
Server operating systemsBSD
Linux
OS X
Solaris
Windows
hostedserver-lessAIX
FreeBSD
HP-UX
Linux
NetBSD
OS X
QNX
SCO
Solaris
VxWorks
Windows infoeasily portable to other OSs
AIX
HP-UX
Linux
Solaris
Windows
Data schemeschema-freeFlexible Schema (defined schema, partial schema, schema free)schema-freeschema free, schema optional, schema required, partial schema,yes
Typing infopredefined data types such as float or datenoyes infostring, integer, double, bool, date, object_idyes, ANSI SQL Types, JSON, typed binary structuresyes
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.noyesnono
Secondary indexesnoyesnoyesyes
SQL infoSupport of SQLnowith Databricks SQLnoyes, ANSI SQL with proprietary extensionsyes
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
in-process shared libraryADO.NET
Direct SQL
JDBC
JPA
ODBC
RESTful HTTP/JSON API
RESTful MQTT/JSON API
RPC
ADO.NET
JDBC
ODBC
WebDAV
Supported programming languagesGoPython
R
Scala
Actionscript
C
C#
C++
Go
Java
JavaScript (Node.js)
Lua
Objective-C
Pike
Python
Ruby
.Net
C
C#
C++
Java
JavaScript (Node.js and browser)
PHP
Python
Visual Basic
.Net
C#
Java
Perl
PHP
Python
Server-side scripts infoStored proceduresnouser defined functions and aggregatesnoyes info.Net, JavaScript, C/C++yes
Triggersnonoyesyes
Partitioning methods infoMethods for storing different data on different nodesnonenoneFile partitioning, horizontal partitioning, sharding infoCustomizable business rules for table partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyesnoneyes, 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
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyEventual Consistency
Immediate Consistency
Tunable consistency per server, database, table, and transaction
Immediate Consistency
Foreign keys infoReferential integritynono infotypically not needed, however similar functionality with collection joins possibleyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnotunable from ACID to Eventually ConsistentACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoRead/Write Lockingyesyes
Durability infoSupport for making data persistentyesyesyesYes, tunable from durable to delayed durability to in-memoryyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesno
User concepts infoAccess controlnonoFine grained access rights according to SQL-standard with additional protections for filesfine grained access rights according to SQL-standard
More information provided by the system vendor
BadgerDatabricksEJDBFaircom DB infoformerly c-treeACEMaxDB infoformerly named Adabas-D
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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More resources
BadgerDatabricksEJDBFaircom DB infoformerly c-treeACEMaxDB infoformerly named Adabas-D
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