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DBMS > Amazon DocumentDB vs. BigchainDB vs. OrigoDB vs. Sqrrl vs. Transbase

System Properties Comparison Amazon DocumentDB vs. BigchainDB vs. OrigoDB vs. Sqrrl vs. Transbase

Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonBigchainDB  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.
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceBigchainDB is scalable blockchain database offering decentralization, immutability and native assetsA fully ACID in-memory object graph databaseAdaptable, secure NoSQL built on Apache AccumuloA resource-optimized, high-performance, universally applicable RDBMS
Primary database modelDocument storeDocument storeDocument 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
Score1.91
Rank#132  Overall
#24  Document stores
Score0.79
Rank#212  Overall
#36  Document stores
Score0.00
Rank#383  Overall
#53  Document stores
#20  Object oriented DBMS
Score0.11
Rank#341  Overall
#150  Relational DBMS
Websiteaws.amazon.com/­documentdbwww.bigchaindb.comorigodb.comsqrrl.comwww.transaction.de/­en/­products/­transbase.html
Technical documentationaws.amazon.com/­documentdb/­resourcesbigchaindb.readthedocs.io/­en/­latestorigodb.com/­docswww.transaction.de/­en/­products/­transbase/­features.html
DeveloperRobert Friberg et alAmazon infooriginally Sqrrl Data, Inc.Transaction Software GmbH
Initial release201920162009 infounder the name LiveDB20121987
Current releaseTransbase 8.3, 2022
License infoCommercial or Open SourcecommercialOpen Source infoAGPL v3Open Sourcecommercialcommercial infofree development license
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languagePythonC#JavaC and C++
Server operating systemshostedLinuxLinux
Windows
LinuxFreeBSD
Linux
macOS
Solaris
Windows
Data schemeschema-freeschema-freeyesschema-freeyes
Typing infopredefined data types such as float or dateyesnoUser 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 SQLnonononoyes
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)CLI Client
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
Java
JavaScript (Node.js)
PHP
Python
Go
Haskell
Java
JavaScript
Python
Ruby
.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 nodesnoneShardinghorizontal partitioning infoclient side managed; servers are not synchronizedSharding infomaking use of Hadoop
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasselectable replication factorSource-replica replicationselectable replication factor infomaking use of HadoopSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)nonoyesno
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 integrityno infotypically not used, however similar functionality with DBRef possiblenodepending on modelnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsACIDAtomic updates per row, document, or graph entityyes
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes,with MongoDB ord RethinkDByes infoWrite ahead logyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlAccess rights for users and rolesyesRole 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
Amazon DocumentDBBigchainDBOrigoDBSqrrlTransbase
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