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DBMS > Badger vs. EJDB vs. Faircom DB vs. Newts vs. Prometheus

System Properties Comparison Badger vs. EJDB vs. Faircom DB vs. Newts vs. Prometheus

Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonEJDB  Xexclude from comparisonFaircom DB infoformerly c-treeACE  Xexclude from comparisonNewts  Xexclude from comparisonPrometheus  Xexclude from comparison
DescriptionAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.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.Time Series DBMS based on CassandraOpen-source Time Series DBMS and monitoring system
Primary database modelKey-value storeDocument storeKey-value store
Relational DBMS
Time Series DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.20
Rank#325  Overall
#49  Key-value stores
Score0.30
Rank#294  Overall
#44  Document stores
Score0.24
Rank#311  Overall
#44  Key-value stores
#140  Relational DBMS
Score0.00
Rank#396  Overall
#42  Time Series DBMS
Score7.92
Rank#51  Overall
#2  Time Series DBMS
Websitegithub.com/­dgraph-io/­badgergithub.com/­Softmotions/­ejdbwww.faircom.com/­products/­faircom-dbopennms.github.io/­newtsprometheus.io
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgergithub.com/­Softmotions/­ejdb/­blob/­master/­README.mddocs.faircom.com/­docs/­en/­UUID-7446ae34-a1a7-c843-c894-d5322e395184.htmlgithub.com/­OpenNMS/­newts/­wikiprometheus.io/­docs
DeveloperDGraph LabsSoftmotionsFairCom CorporationOpenNMS Group
Initial release20172012197920142015
Current releaseV12, November 2020
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoGPLv2commercial infoRestricted, free version availableOpen Source infoApache 2.0Open Source infoApache 2.0
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 languageGoCANSI C, C++JavaGo
Server operating systemsBSD
Linux
OS X
Solaris
Windows
server-lessAIX
FreeBSD
HP-UX
Linux
NetBSD
OS X
QNX
SCO
Solaris
VxWorks
Windows infoeasily portable to other OSs
Linux
OS X
Windows
Linux
Windows
Data schemeschema-freeschema-freeschema free, schema optional, schema required, partial schema,schema-freeyes
Typing infopredefined data types such as float or datenoyes infostring, integer, double, bool, date, object_idyes, ANSI SQL Types, JSON, typed binary structuresyesNumeric data only
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.nononono infoImport of XML data possible
Secondary indexesnonoyesnono
SQL infoSupport of SQLnonoyes, ANSI SQL with proprietary extensionsnono
APIs and other access methodsin-process shared libraryADO.NET
Direct SQL
JDBC
JPA
ODBC
RESTful HTTP/JSON API
RESTful MQTT/JSON API
RPC
HTTP REST
Java API
RESTful HTTP/JSON API
Supported programming languagesGoActionscript
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
Java.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
Server-side scripts infoStored proceduresnonoyes info.Net, JavaScript, C/C++nono
Triggersnonoyesnono
Partitioning methods infoMethods for storing different data on different nodesnonenoneFile partitioning, horizontal partitioning, sharding infoCustomizable business rules for table partitioningSharding infobased on CassandraSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnonenoneyes, configurable to be parallel or serial, synchronous or asynchronous, uni-directional or bi-directional, ACID-consistent or eventually consistent (with custom conflict resolution).selectable replication factor infobased on Cassandrayes infoby Federation
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneEventual Consistency
Immediate Consistency
Tunable consistency per server, database, table, and transaction
Eventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
none
Foreign keys infoReferential integritynono infotypically not needed, however similar functionality with collection joins possibleyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonotunable from ACID to Eventually Consistentnono
Concurrency infoSupport for concurrent manipulation of datayesyes infoRead/Write Lockingyesyesyes
Durability infoSupport for making data persistentyesyesYes, tunable from durable to delayed durability to in-memoryyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesnono
User concepts infoAccess controlnonoFine grained access rights according to SQL-standard with additional protections for filesnono

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More resources
BadgerEJDBFaircom DB infoformerly c-treeACENewtsPrometheus
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