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DBMS > Badger vs. Faircom EDGE vs. H2 vs. IRONdb vs. STSdb

System Properties Comparison Badger vs. Faircom EDGE vs. H2 vs. IRONdb vs. STSdb

Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonFaircom EDGE infoformerly c-treeEDGE  Xexclude from comparisonH2  Xexclude from comparisonIRONdb  Xexclude from comparisonSTSdb  Xexclude from comparison
IRONdb seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.FairCom EDGE is an Industry 4.0 solution built to integrate, collect, aggregate and synchronize mission-critical data in edge computing environmentsFull-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.A distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicityKey-Value Store with special method for indexing infooptimized for high performance using a special indexing method
Primary database modelKey-value storeKey-value store
Relational DBMS
Relational DBMSTime Series DBMSKey-value store
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.22
Rank#320  Overall
#47  Key-value stores
Score0.09
Rank#362  Overall
#53  Key-value stores
#155  Relational DBMS
Score8.33
Rank#46  Overall
#30  Relational DBMS
Score0.10
Rank#357  Overall
#51  Key-value stores
Websitegithub.com/­dgraph-io/­badgerwww.faircom.com/­products/­faircom-edgewww.h2database.comwww.circonus.com/solutions/time-series-database/github.com/­STSSoft/­STSdb4
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgerdocs.faircom.com/­docs/­en/­UUID-23d4f1fd-d213-f6d5-b92e-9b7475baa14e.htmlwww.h2database.com/­html/­main.htmldocs.circonus.com/irondb/category/getting-started
DeveloperDGraph LabsFairCom CorporationThomas MuellerCirconus LLC.STS Soft SC
Initial release20171979200520172011
Current releaseV3, October 20202.2.220, July 2023V0.10.20, January 20184.0.8, September 2015
License infoCommercial or Open SourceOpen Source infoApache 2.0commercial infoRestricted, free version availableOpen Source infodual-licence (Mozilla public license, Eclipse public license)commercialOpen Source infoGPLv2, commercial license 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 languageGoANSI C, C++JavaC and C++C#
Server operating systemsBSD
Linux
OS X
Solaris
Windows
Android
Linux infoARM, x86
Raspbian
Windows
All OS with a Java VMLinuxWindows
Data schemeschema-freeFlexible Schema (defined schema, partial schema, schema free)yesschema-freeyes
Typing infopredefined data types such as float or datenoyes, ANSI Standard SQL Typesyesyes infotext, numeric, histogramsyes infoprimitive types and user defined types (classes)
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 indexesnoyesyesnono
SQL infoSupport of SQLnoyes infoANSI SQL queriesyesSQL-like query language (Circonus Analytics Query Language: CAQL)no
APIs and other access methodsADO.NET
Direct SQL
IoT Microservice layer
JDBC
MQTT (Message Queue Telemetry Transport)
ODBC
RESTful HTTP API
JDBC
ODBC
HTTP API.NET Client API
Supported programming languagesGoC
C#
C++
Java
JavaScript
PHP
Python
VB.Net
Java.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Lua
Perl
PHP
Python
R
Ruby
Rust
Scala
C#
Java
Server-side scripts infoStored proceduresnoyes info.Net, JavaScript, C/C++Java Stored Procedures and User-Defined Functionsyes, in Luano
Triggersnoyesyesnono
Partitioning methods infoMethods for storing different data on different nodesnoneFile partitioning infoCustomizable business rules for partitioningnoneAutomatic, metric affinity per nodenone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyes infoSynchronous and asynchronous realtime replication based on transaction logsWith clustering: 2 database servers on different computers operate on identical copies of a databaseconfigurable replication factor, datacenter awarenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate Consistency
Tunable Consistency
Immediate ConsistencyImmediate consistency per node, eventual consistency across nodes
Foreign keys infoReferential integritynoyes infowhen using SQLyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyes infoacross SQL and NoSQLyes, multi-version concurrency control (MVCC)yesyes
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.noyesyesno
User concepts infoAccess controlnoFine grained user, group and file access rights managed across SQL (per ANSI standard) and NoSQL.fine grained access rights according to SQL-standardnono

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More resources
BadgerFaircom EDGE infoformerly c-treeEDGEH2IRONdbSTSdb
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