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DBMS > BigchainDB vs. GridGain vs. Heroic vs. openGauss vs. Warp 10

System Properties Comparison BigchainDB vs. GridGain vs. Heroic vs. openGauss vs. Warp 10

Editorial information provided by DB-Engines
NameBigchainDB  Xexclude from comparisonGridGain  Xexclude from comparisonHeroic  Xexclude from comparisonopenGauss  Xexclude from comparisonWarp 10  Xexclude from comparison
DescriptionBigchainDB is scalable blockchain database offering decentralization, immutability and native assetsGridGain is an in-memory computing platform, built on Apache IgniteTime Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchAn enterprise-class RDBMS compatible with high-performance, high-availability and high-performance originally developed by HuaweiTimeSeries DBMS specialized on timestamped geo data based on LevelDB or HBase
Primary database modelDocument storeKey-value store
Relational DBMS
Time Series DBMSRelational DBMSTime Series DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.85
Rank#208  Overall
#35  Document stores
Score1.55
Rank#150  Overall
#26  Key-value stores
#70  Relational DBMS
Score0.46
Rank#265  Overall
#22  Time Series DBMS
Score1.06
Rank#184  Overall
#84  Relational DBMS
Score0.14
Rank#344  Overall
#32  Time Series DBMS
Websitewww.bigchaindb.comwww.gridgain.comgithub.com/­spotify/­heroicgitee.com/­opengauss
opengauss.org
www.warp10.io
Technical documentationbigchaindb.readthedocs.io/­en/­latestwww.gridgain.com/­docs/­index.htmlspotify.github.io/­heroicdocs.opengauss.org/­en
gitee.com/­opengauss/­docs
www.warp10.io/­content/­02_Getting_started
DeveloperGridGain Systems, Inc.SpotifyHuawei and openGauss communitySenX
Initial release20162007201420192015
Current releaseGridGain 8.5.13.0, March 2022
License infoCommercial or Open SourceOpen Source infoAGPL v3commercialOpen Source infoApache 2.0Open SourceOpen Source infoApache License 2.0
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 languagePythonJava, C++, .NetJavaC, C++, JavaJava
Server operating systemsLinuxLinux
OS X
Solaris
Windows
LinuxLinux
OS X
Windows
Data schemeschema-freeyesschema-freeyesschema-free
Typing infopredefined data types such as float or datenoyesyesyesyes
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.noyesnonono
Secondary indexesyesyes infovia Elasticsearchyesno
SQL infoSupport of SQLnoANSI-99 for query and DML statements, subset of DDLnoANSI SQL 2011no
APIs and other access methodsCLI Client
RESTful HTTP API
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
HQL (Heroic Query Language, a JSON-based language)
HTTP API
JDBC
ODBC
HTTP API
Jupyter
WebSocket
Supported programming languagesGo
Haskell
Java
JavaScript
Python
Ruby
C#
C++
Java
PHP
Python
Ruby
Scala
C
C++
Java
Server-side scripts infoStored proceduresyes (compute grid and cache interceptors can be used instead)noyesyes infoWarpScript
Triggersyes (cache interceptors and events)noyesno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardinghorizontal partitioning (by range, list and hash)Sharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factoryes (replicated cache)yesSource-replica replicationselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes (compute grid and hadoop accelerator)nonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency
Immediate ConsistencyImmediate Consistency infobased on HBase
Foreign keys infoReferential integritynononoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyes,with MongoDB ord RethinkDByesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnonoyes
User concepts infoAccess controlyesSecurity Hooks for custom implementationsAccess rights for users, groups and roles according to SQL-standardMandatory use of cryptographic tokens, containing fine-grained authorizations

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More resources
BigchainDBGridGainHeroicopenGaussWarp 10
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