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DBMS > BigchainDB vs. Google Cloud Spanner vs. HugeGraph vs. STSdb vs. Teradata

System Properties Comparison BigchainDB vs. Google Cloud Spanner vs. HugeGraph vs. STSdb vs. Teradata

Editorial information provided by DB-Engines
NameBigchainDB  Xexclude from comparisonGoogle Cloud Spanner  Xexclude from comparisonHugeGraph  Xexclude from comparisonSTSdb  Xexclude from comparisonTeradata  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 fast-speed and highly-scalable Graph DBMSKey-Value Store with special method for indexing infooptimized for high performance using a special indexing methodA hybrid cloud data analytics software platform (Teradata Vantage)
Primary database modelDocument storeRelational DBMSGraph DBMSKey-value storeRelational DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.79
Rank#212  Overall
#36  Document stores
Score2.89
Rank#103  Overall
#52  Relational DBMS
Score0.13
Rank#336  Overall
#32  Graph DBMS
Score0.04
Rank#360  Overall
#52  Key-value stores
Score45.33
Rank#21  Overall
#15  Relational DBMS
Websitewww.bigchaindb.comcloud.google.com/­spannergithub.com/­hugegraph
hugegraph.apache.org
github.com/­STSSoft/­STSdb4www.teradata.com
Technical documentationbigchaindb.readthedocs.io/­en/­latestcloud.google.com/­spanner/­docshugegraph.apache.org/­docsdocs.teradata.com
DeveloperGoogleBaiduSTS Soft SCTeradata
Initial release20162017201820111984
Current release0.94.0.8, September 2015Teradata Vantage 1.0 MU2, January 2019
License infoCommercial or Open SourceOpen Source infoAGPL v3commercialOpen Source infoApache Version 2.0Open Source infoGPLv2, commercial license availablecommercial
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 languagePythonJavaC#
Server operating systemsLinuxhostedLinux
macOS
Unix
Windowshosted
Linux
Data schemeschema-freeyesyesyesyes
Typing infopredefined data types such as float or datenoyesyesyes infoprimitive types and user defined types (classes)yes
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.nononoyes
Secondary indexesyesyes infoalso supports composite index and range indexnoyes infoJoin-index to prejoin tables, aggregate index, sparse index, hash index
SQL infoSupport of SQLnoyes infoQuery statements complying to ANSI 2011nonoyes infoSQL 2016 + extensions
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
TinkerPop Gremlin
.NET Client 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
Groovy
Java
Python
C#
Java
C
C++
Cobol
Java (JDBC-ODBC)
Perl
PL/1
Python
R
Ruby
Server-side scripts infoStored proceduresnoasynchronous Gremlin script jobsnoyes infoUDFs, stored procedures, table functions in parallel
Triggersnononoyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingyes infodepending on used storage backend, e.g. Cassandra and HBasenoneSharding infoHashing
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorMulti-source replication with 3 replicas for regional instances.yes infodepending on used storage backend, e.g. Cassandra and HBasenoneMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infousing Google Cloud Dataflowvia hugegraph-sparknono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes infoby using interleaved tables, this features focuses more on performance improvements than on referential integrityyes infoedges in graphnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoStrict serializable isolationACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyes,with MongoDB ord RethinkDByesyesyesyes
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, roles and permissionsnofine grained access rights according to SQL-standard

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More resources
BigchainDBGoogle Cloud SpannerHugeGraphSTSdbTeradata
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