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DBMS > Google Cloud Spanner vs. Graph Engine vs. Informix vs. Kinetica

System Properties Comparison Google Cloud Spanner vs. Graph Engine vs. Informix vs. Kinetica

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Editorial information provided by DB-Engines
NameGoogle Cloud Spanner  Xexclude from comparisonGraph Engine infoformer name: Trinity  Xexclude from comparisonInformix  Xexclude from comparisonKinetica  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 distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engineA secure embeddable database from IBM, positioned besides IBM Db2 as a relatively low-cost product optimized for OLTP and Internet of Things dataFully vectorized database across both GPUs and CPUs
Primary database modelRelational DBMSGraph DBMS
Key-value store
Relational DBMS infoSince Version 12.10 support for JSON/BSON datatypes compatible with MongoDBRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
Time Series DBMS infowith Informix TimeSeries Extension
Spatial 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
Score0.56
Rank#241  Overall
#21  Graph DBMS
#34  Key-value stores
Score16.32
Rank#35  Overall
#21  Relational DBMS
Score0.42
Rank#261  Overall
#120  Relational DBMS
Websitecloud.google.com/­spannerwww.graphengine.iowww.ibm.com/­products/­informixwww.kinetica.com
Technical documentationcloud.google.com/­spanner/­docswww.graphengine.io/­docs/­manualinformix.hcldoc.com
www.ibm.com/­support/­knowledgecenter/­SSGU8G/­welcomeIfxServers.html
docs.kinetica.com
DeveloperGoogleMicrosoftIBM, HCL Technologies infoEffective May 1st, 2017, HCL took on development, technical support, and product management teams, and works jointly with IBM on product strategy, marketing, and sales.Kinetica
Initial release2017201019842012
Current release14.10.FC5, November 20207.1, August 2021
License infoCommercial or Open SourcecommercialOpen Source infoMIT Licensecommercial infofree developer edition availablecommercial
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, C++ and JavaC, C++
Server operating systemshosted.NETAIX
HP-UX
Linux
macOS
Solaris
Windows
Linux
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyes infoSince Version 12.10 support for JSON/BSON datatypesyes
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.nonono
Secondary indexesyesyesyes
SQL infoSupport of SQLyes infoQuery statements complying to ANSI 2011noyesSQL-like DML and DDL statements
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
RESTful HTTP APIJDBC
JSON API infoMongoDB compatible
MQTT (Message Queue Telemetry Transport)
ODBC
RESTful HTTP API
JDBC
ODBC
RESTful HTTP API
Supported programming languagesGo
Java
JavaScript (Node.js)
Python
C#
C++
F#
Visual Basic
.Net
C
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
C++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnoyesyesuser defined functions
Triggersnonoyesyes infotriggers when inserted values for one or more columns fall within a specified range
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioningShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication with 3 replicas for regional instances.Multi-source replication
Source-replica replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infousing Google Cloud Dataflownono
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 integritynoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoStrict serializable isolationnoACIDno
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.noyesyesyes infoGPU vRAM or System RAM
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Users with fine-grained authentication, authorization, and auditing controlsAccess rights for users and roles on table level

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More resources
Google Cloud SpannerGraph Engine infoformer name: TrinityInformixKinetica
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