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DBMS > Google Cloud Spanner vs. Informix vs. Kinetica vs. WakandaDB vs. Warp 10

System Properties Comparison Google Cloud Spanner vs. Informix vs. Kinetica vs. WakandaDB vs. Warp 10

Editorial information provided by DB-Engines
NameGoogle Cloud Spanner  Xexclude from comparisonInformix  Xexclude from comparisonKinetica  Xexclude from comparisonWakandaDB  Xexclude from comparisonWarp 10  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 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 CPUsWakandaDB is embedded in a server that provides a REST API and a server-side javascript engine to access dataTimeSeries DBMS specialized on timestamped geo data based on LevelDB or HBase
Primary database modelRelational DBMSRelational DBMS infoSince Version 12.10 support for JSON/BSON datatypes compatible with MongoDBRelational DBMSObject oriented DBMSTime Series 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
Score2.84
Rank#100  Overall
#51  Relational DBMS
Score17.12
Rank#34  Overall
#21  Relational DBMS
Score0.66
Rank#234  Overall
#107  Relational DBMS
Score0.10
Rank#356  Overall
#16  Object oriented DBMS
Score0.14
Rank#344  Overall
#32  Time Series DBMS
Websitecloud.google.com/­spannerwww.ibm.com/­products/­informixwww.kinetica.comwakanda.github.iowww.warp10.io
Technical documentationcloud.google.com/­spanner/­docsinformix.hcldoc.com
www.ibm.com/­support/­knowledgecenter/­SSGU8G/­welcomeIfxServers.html
docs.kinetica.comwakanda.github.io/­docwww.warp10.io/­content/­02_Getting_started
DeveloperGoogleIBM, 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.KineticaWakanda SASSenX
Initial release20171984201220122015
Current release14.10.FC5, November 20207.1, August 20212.7.0 (April 29, 2019), April 2019
License infoCommercial or Open Sourcecommercialcommercial infofree developer edition availablecommercialOpen Source infoAGPLv3, extended commercial license availableOpen Source infoApache License 2.0
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, C++ and JavaC, C++C++, JavaScriptJava
Server operating systemshostedAIX
HP-UX
Linux
macOS
Solaris
Windows
LinuxLinux
OS X
Windows
Linux
OS X
Windows
Data schemeyesyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyes infoSince Version 12.10 support for JSON/BSON datatypesyesyesyes
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 indexesyesyesyesno
SQL infoSupport of SQLyes infoQuery statements complying to ANSI 2011yesSQL-like DML and DDL statementsnono
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
JDBC
JSON API infoMongoDB compatible
MQTT (Message Queue Telemetry Transport)
ODBC
RESTful HTTP API
JDBC
ODBC
RESTful HTTP API
RESTful HTTP APIHTTP API
Jupyter
WebSocket
Supported programming languagesGo
Java
JavaScript (Node.js)
Python
.Net
C
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
C++
Java
JavaScript (Node.js)
Python
JavaScript
Server-side scripts infoStored proceduresnoyesuser defined functionsyesyes infoWarpScript
Triggersnoyesyes infotriggers when inserted values for one or more columns fall within a specified rangeyesno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingnoneSharding infobased on HBase
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 replicationnoneselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infousing Google Cloud Dataflownononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate Consistency infobased on HBase
Foreign keys infoReferential integrityyes infoby using interleaved tables, this features focuses more on performance improvements than on referential integrityyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoStrict serializable isolationACIDnoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes infoGPU vRAM or System RAMnoyes
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 levelyesMandatory use of cryptographic tokens, containing fine-grained authorizations

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More resources
Google Cloud SpannerInformixKineticaWakandaDBWarp 10
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