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DBMS > BigchainDB vs. Google Cloud Spanner vs. PlanetScale vs. Rockset vs. TimesTen

System Properties Comparison BigchainDB vs. Google Cloud Spanner vs. PlanetScale vs. Rockset vs. TimesTen

Editorial information provided by DB-Engines
NameBigchainDB  Xexclude from comparisonGoogle Cloud Spanner  Xexclude from comparisonPlanetScale  Xexclude from comparisonRockset  Xexclude from comparisonTimesTen  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.Scalable, distributed, serverless MySQL database platform built on top of VitessA scalable, reliable search and analytics service in the cloud, built on RocksDBAn in-memory SQL relational database that delivers microsecond response and high throughput for OLTP applications. TimesTen can be deployed as a standalone database or as a cache to a backend Oracle database.
Primary database modelDocument storeRelational DBMSRelational DBMSDocument storeRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
Relational DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.76
Rank#216  Overall
#36  Document stores
Score2.69
Rank#101  Overall
#51  Relational DBMS
Score1.09
Rank#178  Overall
#82  Relational DBMS
Score1.07
Rank#180  Overall
#31  Document stores
Score1.26
Rank#164  Overall
#75  Relational DBMS
Websitewww.bigchaindb.comcloud.google.com/­spannerplanetscale.comrockset.comwww.oracle.com/­database/­technologies/­related/­timesten.html
Technical documentationbigchaindb.readthedocs.io/­en/­latestcloud.google.com/­spanner/­docsplanetscale.com/­docsdocs.rockset.comdocs.oracle.com/­en/­database/­other-databases/­timesten/­index.html
DeveloperGooglePlanetScaleRocksetOracle infooriginally founded in HP Labs it was acquired by Oracle in 2005
Initial release20162017202020191998
Current releaseRelease 22.1
License infoCommercial or Open SourceOpen Source infoAGPL v3commercialcommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud servicenoyesyesyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languagePythonGoC++
Server operating systemsLinuxhostedDocker
Linux
macOS
hostedIBM AIX Power PC 64-bit
Linux arm64
Linux x86-64
Solaris SPARC 64
Solaris SPARC/x86
Solaris x86-64
Data schemeschema-freeyesyesschema-freeyes
Typing infopredefined data types such as float or datenoyesyesdynamic typingyes
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 infoingestion from XML files supportedno
Secondary indexesyesyesall fields are automatically indexedyes
SQL infoSupport of SQLnoyes infoQuery statements complying to ANSI 2011yes infowith proprietary extensionsRead-only SQL queries, including JOINsyes
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
ADO.NET
JDBC
MySQL protocol
ODBC
HTTP RESTODBC
ODP.NET
Oracle Call Interface (OCI)
Pro*C/C++ programming interfaces
SQL and PL/SQL via JDBC
Supported programming languagesGo
Haskell
Java
JavaScript
Python
Ruby
Go
Java
JavaScript (Node.js)
Python
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Go
Java
JavaScript (Node.js)
Python
C
C++
Java
Node.js
PL/SQL
Python
Server-side scripts infoStored proceduresnoyes infoproprietary syntaxnoPL/SQL
Triggersnoyesnono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingAutomatic shardingnone
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
yesMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infousing Google Cloud Dataflownonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency across shards
Immediate Consistency within a shard
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 integrityyes infonot for MyISAM storage enginenoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoStrict serializable isolationACID at shard levelnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes infotable locks or row locks depending on storage engineyesyes
Durability infoSupport for making data persistentyes,with MongoDB ord RethinkDByesyesyesyes infoby means of logfiles and checkpoints
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlyesAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Users with fine-grained authorization concept infono user groups or rolesAccess rights for users and organizations can be defined via Rockset consolefine grained access rights according to SQL-standard

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More resources
BigchainDBGoogle Cloud SpannerPlanetScaleRocksetTimesTen
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