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DBMS > BigchainDB vs. Google Cloud Spanner vs. HBase vs. Sqrrl

System Properties Comparison BigchainDB vs. Google Cloud Spanner vs. HBase vs. Sqrrl

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Editorial information provided by DB-Engines
NameBigchainDB  Xexclude from comparisonGoogle Cloud Spanner  Xexclude from comparisonHBase  Xexclude from comparisonSqrrl  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.Wide-column store based on Apache Hadoop and on concepts of BigTableAdaptable, secure NoSQL built on Apache Accumulo
Primary database modelDocument storeRelational DBMSWide column storeDocument store
Graph DBMS
Key-value store
Wide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.82
Rank#212  Overall
#36  Document stores
Score2.89
Rank#105  Overall
#53  Relational DBMS
Score31.25
Rank#26  Overall
#2  Wide column stores
Websitewww.bigchaindb.comcloud.google.com/­spannerhbase.apache.orgsqrrl.com
Technical documentationbigchaindb.readthedocs.io/­en/­latestcloud.google.com/­spanner/­docshbase.apache.org/­book.html
DeveloperGoogleApache Software Foundation infoApache top-level project, originally developed by PowersetAmazon infooriginally Sqrrl Data, Inc.
Initial release2016201720082012
Current release2.3.4, January 2021
License infoCommercial or Open SourceOpen Source infoAGPL v3commercialOpen Source infoApache version 2commercial
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languagePythonJavaJava
Server operating systemsLinuxhostedLinux
Unix
Windows infousing Cygwin
Linux
Data schemeschema-freeyesschema-free, schema definition possibleschema-free
Typing infopredefined data types such as float or datenoyesoptions to bring your own types, AVROyes
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
Secondary indexesyesnoyes
SQL infoSupport of SQLnoyes infoQuery statements complying to ANSI 2011nono
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
Java API
RESTful HTTP API
Thrift
Accumulo Shell
Java API
JDBC
ODBC
RESTful HTTP API
Thrift
Supported programming languagesGo
Haskell
Java
JavaScript
Python
Ruby
Go
Java
JavaScript (Node.js)
Python
C
C#
C++
Groovy
Java
PHP
Python
Scala
Actionscript
C infousing GLib
C#
C++
Cocoa
Delphi
Erlang
Go
Haskell
Java
JavaScript
OCaml
Perl
PHP
Python
Ruby
Smalltalk
Server-side scripts infoStored proceduresnoyes infoCoprocessors in Javano
Triggersnoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingSharding infomaking use of Hadoop
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorMulti-source replication with 3 replicas for regional instances.Multi-source replication
Source-replica replication
selectable replication factor infomaking use of Hadoop
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infousing Google Cloud Dataflowyesyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual ConsistencyImmediate Consistency infoDocument store kept consistent with combination of global timestamping, row-level transactions, and server-side consistency resolution.
Foreign keys infoReferential integritynoyes infoby using interleaved tables, this features focuses more on performance improvements than on referential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoStrict serializable isolationSingle row ACID (across millions of columns)Atomic updates per row, document, or graph entity
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.noyes
User concepts infoAccess controlyesAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Access Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACCell-level Security, Data-Centric Security, Role-Based Access Control (RBAC), Attribute-Based Access Control (ABAC)

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More resources
BigchainDBGoogle Cloud SpannerHBaseSqrrl
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An Introduction to BigchainDB, a Popular Blockchain Database
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