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DBMS > Badger vs. GridGain vs. HugeGraph

System Properties Comparison Badger vs. GridGain vs. HugeGraph

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Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonGridGain  Xexclude from comparisonHugeGraph  Xexclude from comparison
DescriptionAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.GridGain is an in-memory computing platform, built on Apache IgniteA fast-speed and highly-scalable Graph DBMS
Primary database modelKey-value storeKey-value store
Relational DBMS
Graph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.14
Rank#331  Overall
#49  Key-value stores
Score1.47
Rank#154  Overall
#26  Key-value stores
#72  Relational DBMS
Score0.13
Rank#336  Overall
#32  Graph DBMS
Websitegithub.com/­dgraph-io/­badgerwww.gridgain.comgithub.com/­hugegraph
hugegraph.apache.org
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgerwww.gridgain.com/­docs/­index.htmlhugegraph.apache.org/­docs
DeveloperDGraph LabsGridGain Systems, Inc.Baidu
Initial release201720072018
Current releaseGridGain 8.5.10.9
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoJava, C++, .NetJava
Server operating systemsBSD
Linux
OS X
Solaris
Windows
Linux
OS X
Solaris
Windows
Linux
macOS
Unix
Data schemeschema-freeyesyes
Typing infopredefined data types such as float or datenoyesyes
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.noyesno
Secondary indexesnoyesyes infoalso supports composite index and range index
SQL infoSupport of SQLnoANSI-99 for query and DML statements, subset of DDLno
APIs and other access methodsHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
Java API
RESTful HTTP API
TinkerPop Gremlin
Supported programming languagesGoC#
C++
Java
PHP
Python
Ruby
Scala
Groovy
Java
Python
Server-side scripts infoStored proceduresnoyes (compute grid and cache interceptors can be used instead)asynchronous Gremlin script jobs
Triggersnoyes (cache interceptors and events)no
Partitioning methods infoMethods for storing different data on different nodesnoneShardingyes infodepending on used storage backend, e.g. Cassandra and HBase
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyes (replicated cache)yes infodepending on used storage backend, e.g. Cassandra and HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes (compute grid and hadoop accelerator)via hugegraph-spark
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynonoyes infoedges in graph
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlnoSecurity Hooks for custom implementationsUsers, roles and permissions

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More resources
BadgerGridGainHugeGraph
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