DB-EngineseXtremeDB: 5 9's high availability databaseEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by solid IT

DBMS > Google Cloud Spanner vs. Kinetica vs. TimesTen

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

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
NameGoogle Cloud Spanner  Xexclude from comparisonKinetica  Xexclude from comparisonTimesTen  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 datasetsIn-Memory RDBMS compatible to Oracle
Primary database modelRelational DBMSRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.78
Rank#104  Overall
#50  Relational DBMS
Score0.75
Rank#193  Overall
#95  Relational DBMS
Score2.44
Rank#112  Overall
#54  Relational DBMS
Websitecloud.google.com/­spannerwww.kinetica.comwww.oracle.com/­database/­technologies/­related/­timesten.html
Technical documentationcloud.google.com/­spanner/­docswww.kinetica.com/­docsdocs.oracle.com/­database/­timesten-18.1
DeveloperGoogleKineticaOracle, TimesTen Performance Software, HP infooriginally founded in HP Labs it was acquired by Oracle in 2005
Initial release201720121998
Current release6.011 Release 2 (11.2.2.8.0)
License infoCommercial or Open Sourcecommercialcommercialcommercial
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++
Server operating systemshostedLinuxAIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
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 indexesyesyesyes
SQL infoSupport of SQLyes infoQuery statements complying to ANSI 2011SQL-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
JDBC
ODBC
RESTful HTTP API
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Supported programming languagesGo
Java
JavaScript (Node.js)
Python
C++
Java
JavaScript (Node.js)
Python
C
C++
Java
PL/SQL
Server-side scripts infoStored proceduresnouser defined functionsPL/SQL
Triggersnoyes infotriggers when inserted values for one or more columns fall within a specified rangeno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication with 3 replicas for regional instances.Source-replica replicationMulti-source 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 Consistency or Eventual Consistency depending on configurationImmediate 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 integrityyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoStrict serializable isolationnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes infoby means of logfiles and checkpoints
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
More information provided by the system vendor
Google Cloud SpannerKineticaTimesTen
Specific characteristicsThe world's first commercial In-Memory Relational Database offering (launched in...
» more
Competitive advantagesTimesTen offers many advantages over competing products: Mature product with nearly...
» more
Typical application scenariosTimesTen can be used in a wide range of application areas. Some examples include:...
» more
Key customersSome of our key customers include Ericsson , Telcordia , China Mobile, China Telecom,...
» more
Market metricsTimesTen is used by thousands of customers in tens of thousands of deployments worldwide...
» more
Licensing and pricing modelsStandard Oracle licence models ; end user and ISV/OEM licence terms available.
» more

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
Google Cloud SpannerKineticaTimesTen
Recent citations in the news

Using DAL For Migration From DynamoDB to Spanner and Bigtable
9 September 2020, hackernoon.com

Google, Gmail & Servers Down: 502 Error & Other Issues Reported
25 September 2020, heavy.com

Google Updates Cloud Spanner with New Features: Backup on Demand, Local Emulator, and More
1 May 2020, InfoQ.com

Google enhances Cloud Spanner and other databases
20 August 2020, TechTarget

Striim Offers New Data Migration Service for Google Cloud
17 September 2020, Database Trends and Applications

provided by Google News

The Kinetica Streaming Data Warehouse Eliminates Legacy Analytics Latency with Simultaneous Streaming and Data Analysis
3 September 2020, Business Wire

Kinetica Streaming Data Warehouse Update Designed for Petabyte-Scale Data Sets
15 September 2020, TDWI

GLOBAL GPU Database MARKET SIZE 2020 INDUSTRY SHARE, GROWTH, BUSINESS CHALLENGES, INVESTMENT OPPORTUNITIES, COVID-19 IMPACT ANALYSIS, KEY MANUFACTURERS AND 2026
27 September 2020, The Daily Chronicle

GPU Database Market 2020 | Newest Industry Data, Future Trends And Forecast 2028
27 September 2020, Crypto Daily

GPU Database Market Size, Share, Analysis, Comprehensive Study, Industry Report and Forecast 2020-2028
27 September 2020, Crypto Daily

provided by Google News

Business Insider
25 January 2012, Business Insider

provided by Google News

Job opportunities

Google Cloud Architect (Remote)/Google Cloud Engineer
CitiusTech, Remote

Senior Support Engineer, Google Cloud Platform
SADA, California

Product Marketing Manager, Databases, Google Cloud
Google, San Francisco, CA

Applications Development Manager
CEDENT, Brentwood, TN

Information Architect
Cardinal Health, Dublin, OH

jobs by Indeed




Share this page

Featured Products

Vertica logo

The fastest unified analytical warehouse at extreme scale with in-database Machine Learning. Try Vertica for free with no time limit.

MariaDB logo

SkySQL, the ultimate
MariaDB cloud, is here.

Get started with SkySQL today!

Datastax Astra logo

Cassandra made easy in the cloud. Build cloud-native applications faster with CQL, REST and GraphQL APIs.
Try for Free.

Couchbase logo

SQL + JSON + NoSQL.
Power, flexibility & scale.
All open source.
Get started now.

Neo4j logo

Get your free copy of the new O'Reilly book Graph Algorithms with 20+ examples for
machine learning, graph analytics and more.

Present your product here