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DBMS > Google Cloud Spanner vs. IBM Db2 Event Store vs. STSdb vs. Teradata vs. Transwarp ArgoDB

System Properties Comparison Google Cloud Spanner vs. IBM Db2 Event Store vs. STSdb vs. Teradata vs. Transwarp ArgoDB

Editorial information provided by DB-Engines
NameGoogle Cloud Spanner  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparisonSTSdb  Xexclude from comparisonTeradata  Xexclude from comparisonTranswarp ArgoDB  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.Distributed Event Store optimized for Internet of Things use casesKey-Value Store with special method for indexing infooptimized for high performance using a special indexing methodA hybrid cloud data analytics software platform (Teradata Vantage)Distributed Analytical Database to replace Hadoop+MPP hybrid architecture
Primary database modelRelational DBMSEvent Store
Time Series DBMS
Key-value storeRelational DBMSRelational DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Time Series DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.84
Rank#100  Overall
#51  Relational DBMS
Score0.27
Rank#309  Overall
#2  Event Stores
#28  Time Series DBMS
Score0.10
Rank#357  Overall
#51  Key-value stores
Score44.87
Rank#22  Overall
#15  Relational DBMS
Score0.12
Rank#348  Overall
#151  Relational DBMS
Websitecloud.google.com/­spannerwww.ibm.com/­products/­db2-event-storegithub.com/­STSSoft/­STSdb4www.teradata.comwww.transwarp.cn/­en/­product/­argodb
Technical documentationcloud.google.com/­spanner/­docswww.ibm.com/­docs/­en/­db2-event-storedocs.teradata.comdocs.transwarp.cn/­#/­documents-support/­docs?category=ARGODB
DeveloperGoogleIBMSTS Soft SCTeradataTranswarp
Initial release2017201720111984
Current release2.04.0.8, September 2015Teradata Vantage 1.0 MU2, January 2019
License infoCommercial or Open Sourcecommercialcommercial infofree developer edition availableOpen Source infoGPLv2, commercial license availablecommercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC and C++C#
Server operating systemshostedLinux infoLinux, macOS, Windows for the developer additionWindowshosted
Linux
Data schemeyesyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyes infoprimitive types and user defined types (classes)yesyes
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.nonoyes
Secondary indexesyesnonoyes infoJoin-index to prejoin tables, aggregate index, sparse index, hash indexyes
SQL infoSupport of SQLyes infoQuery statements complying to ANSI 2011yes infothrough the embedded Spark runtimenoyes infoSQL 2016 + extensionsyes
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
ADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
.NET Client API.NET Client API
HTTP REST
JDBC
JMS Adapter
ODBC
OLE DB
Supported programming languagesGo
Java
JavaScript (Node.js)
Python
C
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
C#
Java
C
C++
Cobol
Java (JDBC-ODBC)
Perl
PL/1
Python
R
Ruby
Server-side scripts infoStored proceduresnoyesnoyes infoUDFs, stored procedures, table functions in parallel
Triggersnononoyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnoneSharding infoHashing
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication with 3 replicas for regional instances.Active-active shard replicationnoneMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infousing Google Cloud Dataflownonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoby using interleaved tables, this features focuses more on performance improvements than on referential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoStrict serializable isolationnonoACID
Concurrency infoSupport for concurrent manipulation of datayesNo - written data is immutableyesyesyes
Durability infoSupport for making data persistentyesYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storageyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
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-standardnofine grained access rights according to SQL-standard

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More resources
Google Cloud SpannerIBM Db2 Event StoreSTSdbTeradataTranswarp ArgoDB
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