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DBMS > Badger vs. BigchainDB vs. GridGain vs. HEAVY.AI vs. Rockset

System Properties Comparison Badger vs. BigchainDB vs. GridGain vs. HEAVY.AI vs. Rockset

Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonBigchainDB  Xexclude from comparisonGridGain  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  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 assetsGridGain is an in-memory computing platform, built on Apache IgniteA high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareA scalable, reliable search and analytics service in the cloud, built on RocksDB
Primary database modelKey-value storeDocument storeKey-value store
Relational DBMS
Relational DBMSDocument store
Secondary database modelsSpatial DBMSRelational DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.20
Rank#325  Overall
#49  Key-value stores
Score0.82
Rank#212  Overall
#36  Document stores
Score1.53
Rank#155  Overall
#26  Key-value stores
#73  Relational DBMS
Score2.10
Rank#126  Overall
#61  Relational DBMS
Score0.84
Rank#209  Overall
#35  Document stores
Websitegithub.com/­dgraph-io/­badgerwww.bigchaindb.comwww.gridgain.comgithub.com/­heavyai/­heavydb
www.heavy.ai
rockset.com
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgerbigchaindb.readthedocs.io/­en/­latestwww.gridgain.com/­docs/­index.htmldocs.heavy.aidocs.rockset.com
DeveloperDGraph LabsGridGain Systems, Inc.HEAVY.AI, Inc.Rockset
Initial release20172016200720162019
Current releaseGridGain 8.5.15.10, January 2022
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoAGPL v3commercialOpen Source infoApache Version 2; enterprise edition availablecommercial
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 languageGoPythonJava, C++, .NetC++ and CUDAC++
Server operating systemsBSD
Linux
OS X
Solaris
Windows
LinuxLinux
OS X
Solaris
Windows
Linuxhosted
Data schemeschema-freeschema-freeyesyesschema-free
Typing infopredefined data types such as float or datenonoyesyesdynamic 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.nonoyesnono infoingestion from XML files supported
Secondary indexesnoyesnoall fields are automatically indexed
SQL infoSupport of SQLnonoANSI-99 for query and DML statements, subset of DDLyesRead-only SQL queries, including JOINs
APIs and other access methodsCLI Client
RESTful HTTP API
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
JDBC
ODBC
Thrift
Vega
HTTP REST
Supported programming languagesGoGo
Haskell
Java
JavaScript
Python
Ruby
C#
C++
Java
PHP
Python
Ruby
Scala
All languages supporting JDBC/ODBC/Thrift
Python
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnoyes (compute grid and cache interceptors can be used instead)nono
Triggersnoyes (cache interceptors and events)nono
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardingSharding infoRound robinAutomatic sharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneselectable replication factoryes (replicated cache)Multi-source replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes (compute grid and hadoop accelerator)nono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes,with MongoDB ord RethinkDByesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlnoyesSecurity Hooks for custom implementationsfine grained access rights according to SQL-standardAccess rights for users and organizations can be defined via Rockset console

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More resources
BadgerBigchainDBGridGainHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022Rockset
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