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DBMS > BigchainDB vs. GridGain vs. RavenDB vs. Transbase

System Properties Comparison BigchainDB vs. GridGain vs. RavenDB vs. Transbase

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Editorial information provided by DB-Engines
NameBigchainDB  Xexclude from comparisonGridGain  Xexclude from comparisonRavenDB  Xexclude from comparisonTransbase  Xexclude from comparison
DescriptionBigchainDB is scalable blockchain database offering decentralization, immutability and native assetsGridGain is an in-memory computing platform, built on Apache IgniteOpen Source Operational and Transactional Enterprise NoSQL Document DatabaseA resource-optimized, high-performance, universally applicable RDBMS
Primary database modelDocument storeKey-value store
Relational DBMS
Document storeRelational DBMS
Secondary database modelsGraph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.86
Rank#210  Overall
#36  Document stores
Score1.59
Rank#158  Overall
#26  Key-value stores
#73  Relational DBMS
Score3.47
Rank#95  Overall
#16  Document stores
Score0.20
Rank#327  Overall
#144  Relational DBMS
Websitewww.bigchaindb.comwww.gridgain.comravendb.netwww.transaction.de/­en/­products/­transbase.html
Technical documentationbigchaindb.readthedocs.io/­en/­latestwww.gridgain.com/­docs/­index.htmlravendb.net/­docswww.transaction.de/­en/­products/­transbase/­features.html
DeveloperGridGain Systems, Inc.Hibernating RhinosTransaction Software GmbH
Initial release2016200720101987
Current releaseGridGain 8.5.15.4, July 2022Transbase 8.3, 2022
License infoCommercial or Open SourceOpen Source infoAGPL v3commercialOpen Source infoAGPL version 3, commercial license availablecommercial infofree development license
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 languagePythonJava, C++, .NetC#C and C++
Server operating systemsLinuxLinux
OS X
Solaris
Windows
Linux
macOS
Raspberry Pi
Windows
FreeBSD
Linux
macOS
Solaris
Windows
Data schemeschema-freeyesschema-freeyes
Typing infopredefined data types such as float or datenoyesnoyes
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 indexesyesyesyes
SQL infoSupport of SQLnoANSI-99 for query and DML statements, subset of DDLSQL-like query language (RQL)yes
APIs and other access methodsCLI Client
RESTful HTTP API
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
.NET Client API
F# Client API
Go Client API
Java Client API
NodeJS Client API
PHP Client API
Python Client API
RESTful HTTP API
ADO.NET
JDBC
ODBC
Proprietary native API
Supported programming languagesGo
Haskell
Java
JavaScript
Python
Ruby
C#
C++
Java
PHP
Python
Ruby
Scala
.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C
C#
C++
Java
JavaScript
Kotlin
Objective-C
PHP
Python
Server-side scripts infoStored proceduresyes (compute grid and cache interceptors can be used instead)yesyes
Triggersyes (cache interceptors and events)yesyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factoryes (replicated cache)Multi-source replicationSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes (compute grid and hadoop accelerator)yesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyDefault ACID transactions on the local node (eventually consistent across the cluster). Atomic operations with cluster-wide ACID transactions. Eventual consistency for indexes and full-text search indexes.Immediate Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID, Cluster-wide transaction availableyes
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes,with MongoDB ord RethinkDByesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlyesSecurity Hooks for custom implementationsAuthorization levels configured per client per databasefine grained access rights according to SQL-standard

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More resources
BigchainDBGridGainRavenDBTransbase
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