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DBMS > BigchainDB vs. Google Cloud Spanner vs. OrigoDB vs. Sqrrl vs. Transbase

System Properties Comparison BigchainDB vs. Google Cloud Spanner vs. OrigoDB vs. Sqrrl vs. Transbase

Editorial information provided by DB-Engines
NameBigchainDB  Xexclude from comparisonGoogle Cloud Spanner  Xexclude from comparisonOrigoDB  Xexclude from comparisonSqrrl  Xexclude from comparisonTransbase  Xexclude from comparison
Sqrrl has been acquired by Amazon and became a part of Amazon Web Services. It has been removed from the DB-Engines ranking.
DescriptionBigchainDB is scalable blockchain database offering decentralization, immutability and native assetsA horizontally scalable, globally consistent, relational database service. It is the externalization of the core Google database that runs the biggest aspects of Google, like Ads and Google Play.A fully ACID in-memory object graph databaseAdaptable, secure NoSQL built on Apache AccumuloA resource-optimized, high-performance, universally applicable RDBMS
Primary database modelDocument storeRelational DBMSDocument store
Object oriented DBMS
Document store
Graph DBMS
Key-value store
Wide column store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.79
Rank#212  Overall
#36  Document stores
Score2.89
Rank#103  Overall
#52  Relational DBMS
Score0.00
Rank#383  Overall
#53  Document stores
#20  Object oriented DBMS
Score0.11
Rank#341  Overall
#150  Relational DBMS
Websitewww.bigchaindb.comcloud.google.com/­spannerorigodb.comsqrrl.comwww.transaction.de/­en/­products/­transbase.html
Technical documentationbigchaindb.readthedocs.io/­en/­latestcloud.google.com/­spanner/­docsorigodb.com/­docswww.transaction.de/­en/­products/­transbase/­features.html
DeveloperGoogleRobert Friberg et alAmazon infooriginally Sqrrl Data, Inc.Transaction Software GmbH
Initial release201620172009 infounder the name LiveDB20121987
Current releaseTransbase 8.3, 2022
License infoCommercial or Open SourceOpen Source infoAGPL v3commercialOpen Sourcecommercialcommercial infofree development license
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languagePythonC#JavaC and C++
Server operating systemsLinuxhostedLinux
Windows
LinuxFreeBSD
Linux
macOS
Solaris
Windows
Data schemeschema-freeyesyesschema-freeyes
Typing infopredefined data types such as float or datenoyesUser defined using .NET types and collectionsyesyes
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.nonono infocan be achieved using .NETno
Secondary indexesyesyesyesyes
SQL infoSupport of SQLnoyes infoQuery statements complying to ANSI 2011nonoyes
APIs and other access methodsCLI Client
RESTful HTTP API
gRPC (using protocol buffers) API
JDBC infoAt present, JDBC supports read-only queries. No support for DDL or DML statements.
RESTful HTTP API
.NET Client API
HTTP API
LINQ
Accumulo Shell
Java API
JDBC
ODBC
RESTful HTTP API
Thrift
ADO.NET
JDBC
ODBC
Proprietary native API
Supported programming languagesGo
Haskell
Java
JavaScript
Python
Ruby
Go
Java
JavaScript (Node.js)
Python
.NetActionscript
C infousing GLib
C#
C++
Cocoa
Delphi
Erlang
Go
Haskell
Java
JavaScript
OCaml
Perl
PHP
Python
Ruby
Smalltalk
C
C#
C++
Java
JavaScript
Kotlin
Objective-C
PHP
Python
Server-side scripts infoStored proceduresnoyesnoyes
Triggersnoyes infoDomain Eventsnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardinghorizontal partitioning infoclient side managed; servers are not synchronizedSharding infomaking use of Hadoop
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorMulti-source replication with 3 replicas for regional instances.Source-replica replicationselectable replication factor infomaking use of HadoopSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infousing Google Cloud Dataflownoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency infoDocument store kept consistent with combination of global timestamping, row-level transactions, and server-side consistency resolution.Immediate Consistency
Foreign keys infoReferential integritynoyes infoby using interleaved tables, this features focuses more on performance improvements than on referential integritydepending on modelnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoStrict serializable isolationACIDAtomic updates per row, document, or graph entityyes
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyes,with MongoDB ord RethinkDByesyes infoWrite ahead logyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesno
User concepts infoAccess controlyesAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Role based authorizationCell-level Security, Data-Centric Security, Role-Based Access Control (RBAC), Attribute-Based Access Control (ABAC)fine grained access rights according to SQL-standard

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More resources
BigchainDBGoogle Cloud SpannerOrigoDBSqrrlTransbase
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