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DBMS > BigchainDB vs. Google Cloud Spanner vs. Teradata vs. Tkrzw

System Properties Comparison BigchainDB vs. Google Cloud Spanner vs. Teradata vs. Tkrzw

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Editorial information provided by DB-Engines
NameBigchainDB  Xexclude from comparisonGoogle Cloud Spanner  Xexclude from comparisonTeradata  Xexclude from comparisonTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet  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.A hybrid cloud data analytics software platform (Teradata Vantage)A concept of libraries, allowing an application program to store and query key-value pairs in a file. Successor of Tokyo Cabinet and Kyoto Cabinet
Primary database modelDocument storeRelational DBMSRelational DBMSKey-value store
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.85
Rank#208  Overall
#35  Document stores
Score2.84
Rank#100  Overall
#51  Relational DBMS
Score44.87
Rank#22  Overall
#15  Relational DBMS
Score0.07
Rank#372  Overall
#57  Key-value stores
Websitewww.bigchaindb.comcloud.google.com/­spannerwww.teradata.comdbmx.net/­tkrzw
Technical documentationbigchaindb.readthedocs.io/­en/­latestcloud.google.com/­spanner/­docsdocs.teradata.com
DeveloperGoogleTeradataMikio Hirabayashi
Initial release2016201719842020
Current releaseTeradata Vantage 1.0 MU2, January 20190.9.3, August 2020
License infoCommercial or Open SourceOpen Source infoAGPL v3commercialcommercialOpen Source infoApache Version 2.0
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 languagePythonC++
Server operating systemsLinuxhostedhosted
Linux
Linux
macOS
Data schemeschema-freeyesyesschema-free
Typing infopredefined data types such as float or datenoyesyesno
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.nonoyesno
Secondary indexesyesyes infoJoin-index to prejoin tables, aggregate index, sparse index, hash index
SQL infoSupport of SQLnoyes infoQuery statements complying to ANSI 2011yes infoSQL 2016 + extensionsno
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 REST
JDBC
JMS Adapter
ODBC
OLE DB
Supported programming languagesGo
Haskell
Java
JavaScript
Python
Ruby
Go
Java
JavaScript (Node.js)
Python
C
C++
Cobol
Java (JDBC-ODBC)
Perl
PL/1
Python
R
Ruby
C++
Java
Python
Ruby
Server-side scripts infoStored proceduresnoyes infoUDFs, stored procedures, table functions in parallelno
Triggersnoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infoHashingnone
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
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infousing Google Cloud Dataflownono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes infoby using interleaved tables, this features focuses more on performance improvements than on referential integrityyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoStrict serializable isolationACID
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.noyesyes infousing specific database classes
User concepts infoAccess controlyesAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)fine grained access rights according to SQL-standardno

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More resources
BigchainDBGoogle Cloud SpannerTeradataTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet
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