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DBMS > AgensGraph vs. Badger vs. BigchainDB vs. Drizzle

System Properties Comparison AgensGraph vs. Badger vs. BigchainDB vs. Drizzle

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Editorial information provided by DB-Engines
NameAgensGraph  Xexclude from comparisonBadger  Xexclude from comparisonBigchainDB  Xexclude from comparisonDrizzle  Xexclude from comparison
Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.
DescriptionMulti-model database supporting relational and graph data models and built upon PostgreSQLAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.BigchainDB is scalable blockchain database offering decentralization, immutability and native assetsMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.
Primary database modelGraph DBMS
Relational DBMS
Key-value storeDocument storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.23
Rank#315  Overall
#26  Graph DBMS
#140  Relational DBMS
Score0.22
Rank#320  Overall
#47  Key-value stores
Score0.85
Rank#208  Overall
#35  Document stores
Websitebitnine.net/­agensgraphgithub.com/­dgraph-io/­badgerwww.bigchaindb.com
Technical documentationbitnine.net/­documentationgodoc.org/­github.com/­dgraph-io/­badgerbigchaindb.readthedocs.io/­en/­latest
DeveloperBitnine Global Inc.DGraph LabsDrizzle project, originally started by Brian Aker
Initial release2016201720162008
Current release2.1, December 20187.2.4, September 2012
License infoCommercial or Open SourceOpen Source infoApache License 2.0Open Source infoApache 2.0Open Source infoAGPL v3Open Source infoGNU GPL
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCGoPythonC++
Server operating systemsLinux
OS X
Windows
BSD
Linux
OS X
Solaris
Windows
LinuxFreeBSD
Linux
OS X
Data schemedepending on used data modelschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesnonoyes
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.nonono
Secondary indexesyesnoyes
SQL infoSupport of SQLyesnonoyes infowith proprietary extensions
APIs and other access methodsCypher Query Language
JDBC
CLI Client
RESTful HTTP API
JDBC
Supported programming languagesC
Java
JavaScript
Python
GoGo
Haskell
Java
JavaScript
Python
Ruby
C
C++
Java
PHP
Server-side scripts infoStored proceduresyesnono
Triggersnonono infohooks for callbacks inside the server can be used.
Partitioning methods infoMethods for storing different data on different nodesno, but can be realized using table inheritancenoneShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationnoneselectable replication factorMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistencynone
Foreign keys infoReferential integrityyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes,with MongoDB ord RethinkDByes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlfine grained access rights according to SQL-standardnoyesPluggable authentication mechanisms infoe.g. LDAP, HTTP

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More resources
AgensGraphBadgerBigchainDBDrizzle
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