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DBMS > Badger vs. BigchainDB vs. Faircom DB vs. OrigoDB vs. Rockset

System Properties Comparison Badger vs. BigchainDB vs. Faircom DB vs. OrigoDB vs. Rockset

Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonBigchainDB  Xexclude from comparisonFaircom DB infoformerly c-treeACE  Xexclude from comparisonOrigoDB  Xexclude from comparisonRockset  Xexclude from comparison
DescriptionAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.BigchainDB is scalable blockchain database offering decentralization, immutability and native assetsNative high-speed multi-model DBMS for relational and key-value store data simultaneously accessible through SQL and NoSQL APIs.A fully ACID in-memory object graph databaseA scalable, reliable search and analytics service in the cloud, built on RocksDB
Primary database modelKey-value storeDocument storeKey-value store
Relational DBMS
Document store
Object oriented DBMS
Document store
Secondary database modelsRelational DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.22
Rank#320  Overall
#47  Key-value stores
Score0.85
Rank#208  Overall
#35  Document stores
Score0.29
Rank#304  Overall
#43  Key-value stores
#136  Relational DBMS
Score0.06
Rank#380  Overall
#50  Document stores
#18  Object oriented DBMS
Score0.82
Rank#212  Overall
#36  Document stores
Websitegithub.com/­dgraph-io/­badgerwww.bigchaindb.comwww.faircom.com/­products/­faircom-dborigodb.comrockset.com
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgerbigchaindb.readthedocs.io/­en/­latestdocs.faircom.com/­docs/­en/­UUID-7446ae34-a1a7-c843-c894-d5322e395184.htmlorigodb.com/­docsdocs.rockset.com
DeveloperDGraph LabsFairCom CorporationRobert Friberg et alRockset
Initial release2017201619792009 infounder the name LiveDB2019
Current releaseV12, November 2020
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoAGPL v3commercial infoRestricted, free version availableOpen Sourcecommercial
Cloud-based only infoOnly available as a cloud servicenonononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoPythonANSI C, C++C#C++
Server operating systemsBSD
Linux
OS X
Solaris
Windows
LinuxAIX
FreeBSD
HP-UX
Linux
NetBSD
OS X
QNX
SCO
Solaris
VxWorks
Windows infoeasily portable to other OSs
Linux
Windows
hosted
Data schemeschema-freeschema-freeschema free, schema optional, schema required, partial schema,yesschema-free
Typing infopredefined data types such as float or datenonoyes, ANSI SQL Types, JSON, typed binary structuresUser defined using .NET types and collectionsdynamic typing
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 infocan be achieved using .NETno infoingestion from XML files supported
Secondary indexesnoyesyesall fields are automatically indexed
SQL infoSupport of SQLnonoyes, ANSI SQL with proprietary extensionsnoRead-only SQL queries, including JOINs
APIs and other access methodsCLI Client
RESTful HTTP API
ADO.NET
Direct SQL
JDBC
JPA
ODBC
RESTful HTTP/JSON API
RESTful MQTT/JSON API
RPC
.NET Client API
HTTP API
LINQ
HTTP REST
Supported programming languagesGoGo
Haskell
Java
JavaScript
Python
Ruby
.Net
C
C#
C++
Java
JavaScript (Node.js and browser)
PHP
Python
Visual Basic
.NetGo
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnoyes info.Net, JavaScript, C/C++yesno
Triggersnoyesyes infoDomain Eventsno
Partitioning methods infoMethods for storing different data on different nodesnoneShardingFile partitioning, horizontal partitioning, sharding infoCustomizable business rules for table partitioninghorizontal partitioning infoclient side managed; servers are not synchronizedAutomatic sharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneselectable replication factoryes, 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 replicationyes
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
Foreign keys infoReferential integritynonoyesdepending on modelno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanotunable from ACID to Eventually ConsistentACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes,with MongoDB ord RethinkDBYes, tunable from durable to delayed durability to in-memoryyes infoWrite ahead logyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlnoyesFine grained access rights according to SQL-standard with additional protections for filesRole based authorizationAccess rights for users and organizations can be defined via Rockset console

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More resources
BadgerBigchainDBFaircom DB infoformerly c-treeACEOrigoDBRockset
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