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DBMS > Google Cloud Spanner vs. IBM Db2 Event Store vs. Kinetica vs. NuoDB

System Properties Comparison Google Cloud Spanner vs. IBM Db2 Event Store vs. Kinetica vs. NuoDB

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Editorial information provided by DB-Engines
NameGoogle Cloud Spanner  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparisonKinetica  Xexclude from comparisonNuoDB  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 casesFully vectorized database across both GPUs and CPUsNuoDB is a webscale distributed database that supports SQL and ACID transactions
Primary database modelRelational DBMSEvent Store
Time Series DBMS
Relational DBMSRelational DBMS
Secondary database modelsSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.69
Rank#101  Overall
#51  Relational DBMS
Score0.18
Rank#315  Overall
#2  Event Stores
#26  Time Series DBMS
Score0.42
Rank#261  Overall
#120  Relational DBMS
Score0.87
Rank#201  Overall
#94  Relational DBMS
Websitecloud.google.com/­spannerwww.ibm.com/­products/­db2-event-storewww.kinetica.comwww.3ds.com/­nuodb-distributed-sql-database
Technical documentationcloud.google.com/­spanner/­docswww.ibm.com/­docs/­en/­db2-event-storedocs.kinetica.comdoc.nuodb.com
DeveloperGoogleIBMKineticaDassault Systèmes infooriginally NuoDB, Inc.
Initial release2017201720122013
Current release2.07.1, August 2021
License infoCommercial or Open Sourcecommercialcommercial infofree developer edition availablecommercialcommercial infolimited edition free
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC and C++C, C++C++
Server operating systemshostedLinux infoLinux, macOS, Windows for the developer additionLinuxhosted infoAmazon EC2, Windows Azure, SoftLayer
Linux
OS X
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.nononono
Secondary indexesyesnoyesyes
SQL infoSupport of SQLyes infoQuery statements complying to ANSI 2011yes infothrough the embedded Spark runtimeSQL-like DML and DDL statementsyes
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
JDBC
ODBC
RESTful HTTP API
ADO.NET
JDBC
ODBC
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
JavaScript (Node.js)
Python
.Net
C
C++
Go
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresnoyesuser defined functionsJava, SQL
Triggersnonoyes infotriggers when inserted values for one or more columns fall within a specified rangeyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingdata is dynamically stored/cached on the nodes where it is read/written
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication with 3 replicas for regional instances.Active-active shard replicationSource-replica replicationyes infoManaged transparently by NuoDB
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 or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integrityyes infoby using interleaved tables, this features focuses more on performance improvements than on referential integritynoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoStrict serializable isolationnonoACID infotunable commit protocol
Concurrency infoSupport for concurrent manipulation of datayesNo - written data is immutableyesyes infoMVCC
Durability infoSupport for making data persistentyesYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storageyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes infoGPU vRAM or System RAMyes infoTemporary table
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-standardAccess rights for users and roles on table levelStandard SQL roles/ privileges, Administrative Users

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More resources
Google Cloud SpannerIBM Db2 Event StoreKineticaNuoDB
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