DB-EnginesInfluxDB download bannerEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by solid IT

DBMS > GBase vs. TimesTen vs. Vertica

System Properties Comparison GBase vs. TimesTen vs. Vertica

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
NameGBase  Xexclude from comparisonTimesTen  Xexclude from comparisonVertica infoVertica Analytics Platform  Xexclude from comparison
DescriptionAn analytical database for business intelligence with large customers in China.In-Memory RDBMS compatible to OracleColumnar relational DBMS designed to handle modern analytic workloads, enabling fast query performance
Primary database modelRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.86
Rank#164  Overall
#79  Relational DBMS
Score2.25
Rank#107  Overall
#52  Relational DBMS
Score22.55
Rank#29  Overall
#17  Relational DBMS
Websitewww.gbase.cnwww.oracle.com/­database/­technologies/­related/­timesten.htmlwww.vertica.com
Technical documentationdocs.oracle.com/­database/­timesten-18.1www.vertica.com/­documentation/­vertica
DeveloperOracle, TimesTen Performance Software, HP infooriginally founded in HP Labs it was acquired by Oracle in 2005Vertica / Micro Focus infoprior to that Hewlett Packard
Initial release19982005
Current releaseGBase 8a11 Release 2 (11.2.2.8.0)Vertica Analytics Platform 9.2.x, March 2019
License infoCommercial or Open Sourcecommercialcommercialcommercial infoLimited community edition free
Cloud-based only infoOnly available as a cloud servicenonono infoavailable on Amazon AWS and Microsoft Azure
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Server operating systemsAIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Linux
Data schemeyesyes infoUnstructured data can be stored in specific Flex-Tables
Typing infopredefined data types such as float or dateyesyes
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.noyes
Secondary indexesyesno infoThe concept of 'projections' can be used instead of indexes.
SQL infoSupport of SQLyesyes infonearly full SQL99 without support for indexes and triggers
APIs and other access methodsJDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
ADO.NET
JDBC
Kafka
ODBC
Proprietary protocol
RESTful HTTP API
Supported programming languagesC
C++
Java
PL/SQL
C++
Java
Perl
Python
R
Server-side scripts infoStored proceduresPL/SQLyes
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infoSegmentation, Projection Segmentation, Hash Segmentation
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-master replication
Master-slave replication
Master-master replication infoCluster level and Object level replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infowith Vertica Connector for Hadoop
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integrityyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyes infoby means of logfiles and checkpointsyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes
User concepts infoAccess controlfine grained access rights according to SQL-standardfine grained access rights according to SQL-standard; supports Kerberos, LDAP, Ident and hash
More information provided by the system vendor
GBaseTimesTenVertica infoVertica Analytics Platform
Specific characteristicsThe world's first commercial In-Memory Relational Database offering (launched in...
» more
Columnar storage, MPP, Hybrid storage model, Aggressive data compression, High availability,...
» more
Competitive advantagesTimesTen offers many advantages over competing products: Mature product with nearly...
» more
Performance at exabyte scale, Deploy anywhere, Open source innovation, Analysis in...
» more
Typical application scenariosTimesTen can be used in a wide range of application areas. Some examples include:...
» more
Communication and network analytics, Embedded analytics, Fraud monitoring and Risk...
» more
Key customersSome of our key customers include Ericsson , Telcordia , China Mobile, China Telecom,...
» more
Abiba Systems, Adform, adMarketplace, AmeriPride, Anritsu, AOL, Avito, Auckland Transport,...
» 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
Cost-based models and subscription-based models are 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
GBaseTimesTenVertica infoVertica Analytics Platform
Recent citations in the news

Oracle gooses Exalytics in-memory appliance with flash, fat DDR3 sticks
15 July 2013, Register

provided by Google News

3 Data-Driven Rules For Competing With Amazon In The First-Ever Trillion-Dollar Holiday Season
12 November 2019, Forbes

Micro Focus Announces Vertica in Eon Mode for Pure Storage
18 September 2019, DevOps.com

You Can't Do Machine Learning Inside a Database. Can You?
1 April 2019, Datanami

Inside the Democrats’ Plan to Fix Their Crumbling Data Operation
2 April 2019, WIRED

How ML Helps Solve the Big Data Transform/Mastering Problem
10 October 2019, Datanami

provided by Google News

Job opportunities

Associate Data Reporting Analyst
WebMD, New York, NY

Data Engineer, Game Analytics
Rockstar New York, New York, NY

Data Engineer, Game Analytics
Rockstar San Diego, Carlsbad, CA

Microshot SQL Server DBA Data Engineer
DXC, Alabama

Data Analyst
Omni Federal, Fairfax, VA

jobs by Indeed




Share this page

Featured Products

Neo4j logo

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

Redis logo

Hosted, serverless DBaaS
in 3 steps.

30MB Free!
Start now.

Couchbase logo

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


Datastax logo

Build data-driven applications that set the standard for performance, availability,
& scale with DataStax.
Learn more.

RavenDB logo

Setup a fully managed RavenDB Cloud Database in minutes. Enjoy hosting, management, backups all in one place.
Grab a Free Instance

Present your product here