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DBMS > Google Cloud Spanner vs. Teradata vs. TigerGraph vs. TimesTen

System Properties Comparison Google Cloud Spanner vs. Teradata vs. TigerGraph vs. TimesTen

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Editorial information provided by DB-Engines
NameGoogle Cloud Spanner  Xexclude from comparisonTeradata  Xexclude from comparisonTigerGraph  Xexclude from comparisonTimesTen  Xexclude from comparison
DescriptionA 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 complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-timeIn-Memory RDBMS compatible to Oracle
Primary database modelRelational DBMSRelational DBMSGraph DBMSRelational 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
Score2.89
Rank#103  Overall
#52  Relational DBMS
Score45.33
Rank#21  Overall
#15  Relational DBMS
Score1.83
Rank#139  Overall
#13  Graph DBMS
Score1.31
Rank#163  Overall
#74  Relational DBMS
Websitecloud.google.com/­spannerwww.teradata.comwww.tigergraph.comwww.oracle.com/­database/­technologies/­related/­timesten.html
Technical documentationcloud.google.com/­spanner/­docsdocs.teradata.comdocs.tigergraph.comdocs.oracle.com/­database/­timesten-18.1
DeveloperGoogleTeradataOracle, TimesTen Performance Software, HP infooriginally founded in HP Labs it was acquired by Oracle in 2005
Initial release2017198420171998
Current releaseTeradata Vantage 1.0 MU2, January 201911 Release 2 (11.2.2.8.0)
License infoCommercial or Open Sourcecommercialcommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++
Server operating systemshostedhosted
Linux
LinuxAIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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.noyesnono
Secondary indexesyesyes infoJoin-index to prejoin tables, aggregate index, sparse index, hash indexyes
SQL infoSupport of SQLyes infoQuery statements complying to ANSI 2011yes infoSQL 2016 + extensionsSQL-like query language (GSQL)yes
APIs and other access methodsgRPC (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
GSQL (TigerGraph Query Language)
Kafka
RESTful HTTP/JSON API
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Supported programming languagesGo
Java
JavaScript (Node.js)
Python
C
C++
Cobol
Java (JDBC-ODBC)
Perl
PL/1
Python
R
Ruby
C++
Java
C
C++
Java
PL/SQL
Server-side scripts infoStored proceduresnoyes infoUDFs, stored procedures, table functions in parallelyesPL/SQL
Triggersnoyesnono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoHashingnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication with 3 replicas for regional instances.Multi-source replication
Source-replica replication
Multi-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infousing Google Cloud Dataflownoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integrityyes infoby using interleaved tables, this features focuses more on performance improvements than on referential integrityyesyes infoRelationships in graphsyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoStrict serializable isolationACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes 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.noyesnoyes
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-standardRole-based access controlfine grained access rights according to SQL-standard

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More resources
Google Cloud SpannerTeradataTigerGraphTimesTen
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