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DBMS > Google Cloud Bigtable vs. Teradata vs. Tibero vs. Titan

System Properties Comparison Google Cloud Bigtable vs. Teradata vs. Tibero vs. Titan

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Editorial information provided by DB-Engines
NameGoogle Cloud Bigtable  Xexclude from comparisonTeradata  Xexclude from comparisonTibero  Xexclude from comparisonTitan  Xexclude from comparison
Titan has been decommisioned after the takeover by Datastax. It will be removed from the DB-Engines ranking. A fork has been open-sourced as JanusGraph.
DescriptionGoogle's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.A hybrid cloud data analytics software platform (Teradata Vantage)A secure RDBMS, designed for easy portability from OracleTitan is a Graph DBMS optimized for distributed clusters.
Primary database modelKey-value store
Wide column store
Relational DBMSRelational DBMSGraph 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
Score3.26
Rank#92  Overall
#13  Key-value stores
#8  Wide column stores
Score45.33
Rank#21  Overall
#15  Relational DBMS
Score1.78
Rank#140  Overall
#64  Relational DBMS
Websitecloud.google.com/­bigtablewww.teradata.comus.tmaxsoft.com/­products/­tiberogithub.com/­thinkaurelius/­titan
Technical documentationcloud.google.com/­bigtable/­docsdocs.teradata.comtechnet.tmaxsoft.com/­upload/­download/­online/­tibero/­pver-20150504-000002/­index.htmlgithub.com/­thinkaurelius/­titan/­wiki
DeveloperGoogleTeradataTmaxSoftAurelius, owned by DataStax
Initial release2015198420032012
Current releaseTeradata Vantage 1.0 MU2, January 20196, April 2015
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source infoApache license, version 2.0
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC and AssemblerJava
Server operating systemshostedhosted
Linux
AIX
HP-UX
Linux
Solaris
Windows
Linux
OS X
Unix
Windows
Data schemeschema-freeyesyesyes
Typing infopredefined data types such as float or datenoyesyesyes
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.noyesyes
Secondary indexesnoyes infoJoin-index to prejoin tables, aggregate index, sparse index, hash indexyesyes
SQL infoSupport of SQLnoyes infoSQL 2016 + extensionsyesno
APIs and other access methodsgRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
.NET Client API
HTTP REST
JDBC
JMS Adapter
ODBC
OLE DB
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Tibero CLI
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
Python
C
C++
Cobol
Java (JDBC-ODBC)
Perl
PL/1
Python
R
Ruby
C
C#
C++
Cobol
Java
Objective-C
Perl
PHP
Python
Ruby
Visual Basic
Clojure
Java
Python
Server-side scripts infoStored proceduresnoyes infoUDFs, stored procedures, table functions in parallelPersistent Stored Procedure (PSM)yes
Triggersnoyesyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoHashinghorizontal partitioning infoby range, hash, list or compositeyes infovia pluggable storage backends
Replication methods infoMethods for redundantly storing data on multiple nodesInternal replication in Colossus, and regional replication between two clusters in different zonesMulti-source replication
Source-replica replication
Multi-source replication
Source-replica replication
yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonoyes infovia Faunus, a graph analytics engine
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Immediate ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynoyesyesyes infoRelationships in graph
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-row operationsACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcast
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesno infoplanned for next version
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)fine grained access rights according to SQL-standardfine grained access rights according to SQL-standard (SQL 92, SQL 99)User authentification and security via Rexster Graph Server

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More resources
Google Cloud BigtableTeradataTiberoTitan
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