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

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

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 comparisonIngres  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 hardwareWell established RDBMS
Primary database modelKey-value storeDocument storeColumnar
Key-value store
Object oriented DBMS
Relational DBMS
Relational DBMSRelational DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.14
Rank#328  Overall
#48  Key-value stores
Score0.76
Rank#216  Overall
#36  Document stores
Score1.48
Rank#150  Overall
#1  Columnar
#26  Key-value stores
#2  Object oriented DBMS
#69  Relational DBMS
Score1.41
Rank#153  Overall
#71  Relational DBMS
Score3.63
Rank#79  Overall
#43  Relational DBMS
Websitegithub.com/­dgraph-io/­badgerwww.bigchaindb.comwww.gridgain.comgithub.com/­heavyai/­heavydb
www.heavy.ai
www.actian.com/­databases/­ingres
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgerbigchaindb.readthedocs.io/­en/­latestwww.gridgain.com/­docs/­index.htmldocs.heavy.aidocs.actian.com/­ingres
DeveloperDGraph LabsGridGain Systems, Inc.HEAVY.AI, Inc.Actian Corporation
Initial release20172016200720161974 infooriginally developed at University Berkely in early 1970s
Current releaseGridGain 8.5.15.10, January 202212.0, July 2024
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoAGPL v3commercial, open sourceOpen Source infoApache Version 2; enterprise edition availablecommercial
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 languageGoPythonJava, C++, .Net, Python, REST, SQLC++ and CUDAC
Server operating systemsBSD
Linux
OS X
Solaris
Windows
LinuxLinux
OS X
Solaris
Windows
z/OS
LinuxAIX
HP Open VMS
HP-UX
Linux
Solaris
Windows
Data schemeschema-freeschema-freeyesyesyes
Typing infopredefined data types such as float or datenonoyesyesyes
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 infobut tools for importing/exporting data from/to XML-files available
Secondary indexesnoyesnoyes
SQL infoSupport of SQLnonoANSI-99 for query and DML statements, subset of DDLyesyes
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
.NET Client API
JDBC
ODBC
proprietary protocol (OpenAPI)
Supported programming languagesGoGo
Haskell
Java
JavaScript
Python
Ruby
C#
C++
Java
PHP
Python
Ruby
Scala
All languages supporting JDBC/ODBC/Thrift
Python
Server-side scripts infoStored proceduresnoyes (compute grid and cache interceptors can be used instead)noyes
Triggersnoyes (cache interceptors and events)noyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardingSharding infoRound robinhorizontal partitioning infoIngres Star to access multiple databases simultaneously
Replication methods infoMethods for redundantly storing data on multiple nodesnoneselectable replication factoryes (replicated cache)Multi-source replicationIngres Replicator
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 ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes infoMVCC
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.noyesyesno
User concepts infoAccess controlnoyesRole-based access control
Security Hooks for custom implementations
fine grained access rights according to SQL-standardfine grained access rights according to SQL-standard

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