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DBMS > BigchainDB vs. Google Cloud Spanner vs. HBase vs. TimesTen vs. Valentina Server

System Properties Comparison BigchainDB vs. Google Cloud Spanner vs. HBase vs. TimesTen vs. Valentina Server

Editorial information provided by DB-Engines
NameBigchainDB  Xexclude from comparisonGoogle Cloud Spanner  Xexclude from comparisonHBase  Xexclude from comparisonTimesTen  Xexclude from comparisonValentina Server  Xexclude from comparison
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 BigTableIn-Memory RDBMS compatible to OracleObject-relational database and reports server
Primary database modelDocument storeRelational DBMSWide column storeRelational DBMSRelational 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
Score30.50
Rank#26  Overall
#2  Wide column stores
Score1.31
Rank#163  Overall
#74  Relational DBMS
Score0.17
Rank#327  Overall
#145  Relational DBMS
Websitewww.bigchaindb.comcloud.google.com/­spannerhbase.apache.orgwww.oracle.com/­database/­technologies/­related/­timesten.htmlwww.valentina-db.net
Technical documentationbigchaindb.readthedocs.io/­en/­latestcloud.google.com/­spanner/­docshbase.apache.org/­book.htmldocs.oracle.com/­database/­timesten-18.1valentina-db.com/­docs/­dokuwiki/­v5/­doku.php
DeveloperGoogleApache Software Foundation infoApache top-level project, originally developed by PowersetOracle, TimesTen Performance Software, HP infooriginally founded in HP Labs it was acquired by Oracle in 2005Paradigma Software
Initial release20162017200819981999
Current release2.3.4, January 202111 Release 2 (11.2.2.8.0)5.7.5
License infoCommercial or Open SourceOpen Source infoAGPL v3commercialOpen Source infoApache version 2commercialcommercial
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 languagePythonJava
Server operating systemsLinuxhostedLinux
Unix
Windows infousing Cygwin
AIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Linux
OS X
Windows
Data schemeschema-freeyesschema-free, schema definition possibleyesyes
Typing infopredefined data types such as float or datenoyesoptions to bring your own types, AVROyesyes
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.nononono
Secondary indexesyesnoyesyes
SQL infoSupport of SQLnoyes infoQuery statements complying to ANSI 2011noyesyes
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
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
ODBC
Supported programming languagesGo
Haskell
Java
JavaScript
Python
Ruby
Go
Java
JavaScript (Node.js)
Python
C
C#
C++
Groovy
Java
PHP
Python
Scala
C
C++
Java
PL/SQL
.Net
C
C#
C++
Objective-C
PHP
Ruby
Visual Basic
Visual Basic.NET
Server-side scripts infoStored proceduresnoyes infoCoprocessors in JavaPL/SQLyes
Triggersnoyesnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingnone
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
Multi-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infousing Google Cloud Dataflowyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynoyes infoby using interleaved tables, this features focuses more on performance improvements than on referential integritynoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoStrict serializable isolationSingle row ACID (across millions of columns)ACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes,with MongoDB ord RethinkDByesyesyes infoby means of logfiles and checkpointsyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesyes
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 & ABACfine grained access rights according to SQL-standardfine grained access rights according to SQL-standard

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More resources
BigchainDBGoogle Cloud SpannerHBaseTimesTenValentina Server
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