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DBMS > Google Cloud Spanner vs. Kinetica vs. OmniSci

System Properties Comparison Google Cloud Spanner vs. Kinetica vs. OmniSci

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Editorial information provided by DB-Engines
NameGoogle Cloud Spanner  Xexclude from comparisonKinetica  Xexclude from comparisonOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018  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.GPU-accelerated database for real-time analysis of large and streaming datasetsA high performance, in-memory, column-oriented RDBMS, designed to run on GPUs
Primary database modelRelational DBMSRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.71
Rank#115  Overall
#59  Relational DBMS
Score0.58
Rank#192  Overall
#96  Relational DBMS
Score2.55
Rank#92  Overall
#47  Relational DBMS
Websitecloud.google.com/­spannerwww.kinetica.comwww.omnisci.com
Technical documentationcloud.google.com/­spanner/­docswww.kinetica.com/­docswww.omnisci.com/­docs/­latest
DeveloperGoogleKineticaMapD Technologies, Inc.
Initial release201720122016
Current release6.0V4
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache Version 2; enterprise edition available
Cloud-based only infoOnly available as a cloud serviceyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC, C++C++ and CUDA
Server operating systemshostedLinuxLinux
Data schemeyesyesyes
Typing infopredefined data types such as float or dateyesyesyes
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 indexesyesyesno
SQL infoSupport of SQLyes infoQuery statements complying to ANSI 2011SQL-like DML and DDL statementsyes
APIs and other access methodsgRPC (using protocol buffers) API
RESTful HTTP API
JDBC infoAt present, JDBC supports read-only queries. No support for DDL or DML statements.
RESTful HTTP API
JDBC
ODBC
Thrift
JDBC
ODBC
Supported programming languagesGo
Java
JavaScript (Node.js)
Python
C++
Java
JavaScript (Node.js)
Python
All languages supporting JDBC/ODBC/Thrift
Python
Server-side scripts infoStored proceduresnouser defined functionsno
Triggersnoyes infotriggers when inserted values for one or more columns fall within a specified rangeno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infoRound robin
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-Master replication with 3 replicas for regional instances.Master-slave replicationMaster-master 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 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 integrityyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoStrict serializable isolationnono
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infoGPU vRAM or System RAMyes
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Access rights for users and roles on table levelfine grained access rights according to SQL-standard

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More resources
Google Cloud SpannerKineticaOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018
Recent citations in the news

Google details 'catastrophic' cloud outage events: Promises to do better next time
7 June 2019, ZDNet

Google Cloud outage caused much Twitter angst, but provides a teachable moment for enterprises
5 June 2019, Diginomica

Google’s Cloud Spanner database adds new features and regions
19 December 2018, TechCrunch

CockroachDB Wants To Take A Bite Out Of Oracle
3 June 2019, The Next Platform

Google Updates Cloud Spanner: Query Introspection, New Regions, and New Multi-Region Configurations
31 December 2018, InfoQ.com

provided by Google News

Global GPU Database Market 2019 Top key Players - Kinetica, Omnisci, Sqream, Neo4j, Nvidia, Brytlyt, Jedox, Blazegraph
18 June 2019, World Capital News

Kinetica Appoints Elizabeth McGlauflin as Chief Customer Success Officer
6 June 2019, MarTech Advisor

Kinetica Hires New Chief Customer Success Officer in Response to Triple Digit Growth Across Global Install-Base and Adoption by Major Global 2000 Brands
5 June 2019, Business Wire

GPU Database Market analysis by Service Type, by Vertical
19 June 2019, Market Mirror

Kinetica Delivers GPU-Accelerated Analytics Engine to SoftBank
1 November 2018, Business Wire

provided by Google News

OmniSci enters EMEA market to push high-speed cloud analytics
31 May 2019, Data Economy

Global GPU Database Market 2019 Top key Players - Kinetica, Omnisci, Sqream, Neo4j, Nvidia, Brytlyt, Jedox, Blazegraph
18 June 2019, World Capital News

Review: OmniSci GPU database lifts huge data sets
1 April 2019, InfoWorld

2019 Report: Graphics Processing Unit Database Market by Top Players Analysis – Zilliz, Brytlyt, Jedox AG – News Category
19 June 2019, Global Banking And Finance Review

Worldwide Graphics Processing Unit Database Market 2019 with Research Methodolgy & Revenue Analysis - All
24 June 2019, Marketing Strategy

provided by Google News

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