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DBMS > Google Cloud Bigtable vs. Graph Engine vs. searchxml vs. Teradata

System Properties Comparison Google Cloud Bigtable vs. Graph Engine vs. searchxml vs. Teradata

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Editorial information provided by DB-Engines
NameGoogle Cloud Bigtable  Xexclude from comparisonGraph Engine infoformer name: Trinity  Xexclude from comparisonsearchxml  Xexclude from comparisonTeradata  Xexclude from comparison
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 distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engineDBMS for structured and unstructured content wrapped with an application serverA hybrid cloud data analytics software platform (Teradata Vantage)
Primary database modelKey-value store
Wide column store
Graph DBMS
Key-value store
Native XML DBMS
Search engine
Relational 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
Score3.15
Rank#95  Overall
#14  Key-value stores
#8  Wide column stores
Score0.67
Rank#232  Overall
#21  Graph DBMS
#34  Key-value stores
Score0.03
Rank#390  Overall
#7  Native XML DBMS
#24  Search engines
Score44.87
Rank#22  Overall
#15  Relational DBMS
Websitecloud.google.com/­bigtablewww.graphengine.iowww.searchxml.net/­category/­productswww.teradata.com
Technical documentationcloud.google.com/­bigtable/­docswww.graphengine.io/­docs/­manualwww.searchxml.net/­support/­handoutsdocs.teradata.com
DeveloperGoogleMicrosoftinformationpartners gmbhTeradata
Initial release2015201020151984
Current release1.0Teradata Vantage 1.0 MU2, January 2019
License infoCommercial or Open SourcecommercialOpen Source infoMIT Licensecommercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation language.NET and CC++
Server operating systemshosted.NETWindowshosted
Linux
Data schemeschema-freeyesschema-freeyes
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.nonoyesyes
Secondary indexesnoyesyes infoJoin-index to prejoin tables, aggregate index, sparse index, hash index
SQL infoSupport of SQLnononoyes infoSQL 2016 + extensions
APIs and other access methodsgRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
RESTful HTTP APIRESTful HTTP API
WebDAV
XQuery
XSLT
.NET Client API
HTTP REST
JDBC
JMS Adapter
ODBC
OLE DB
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
Python
C#
C++
F#
Visual Basic
C++ infomost other programming languages supported via APIsC
C++
Cobol
Java (JDBC-ODBC)
Perl
PL/1
Python
R
Ruby
Server-side scripts infoStored proceduresnoyesyes infoon the application serveryes infoUDFs, stored procedures, table functions in parallel
Triggersnononoyes
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioningnoneSharding infoHashing
Replication methods infoMethods for redundantly storing data on multiple nodesInternal replication in Colossus, and regional replication between two clusters in different zonesyes infosychronisation to multiple collectionsMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnono
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 Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-row operationsnomultiple readers, single writerACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesoptional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storageyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesnoyes
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Domain, group and role-based access control at the document level and for application servicesfine grained access rights according to SQL-standard

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More resources
Google Cloud BigtableGraph Engine infoformer name: TrinitysearchxmlTeradata
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