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DBMS > Ignite vs. TimesTen

System Properties Comparison Ignite vs. TimesTen

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Editorial information provided by DB-Engines
NameIgnite  Xexclude from comparisonTimesTen  Xexclude from comparison
DescriptionApache Ignite is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads, delivering in-memory speeds at petabyte scale.In-Memory RDBMS compatible to Oracle
Primary database modelKey-value store
Relational DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score5.42
Rank#56  Overall
#10  Key-value stores
#32  Relational DBMS
Score2.70
Rank#89  Overall
#45  Relational DBMS
Websiteignite.apache.orgwww.oracle.com/­database/­timesten-in-memory-database/­index.html
Technical documentationapacheignite.readme.io/­docswww.oracle.com/­technetwork/­database/­database-technologies/­timesten/­documentation/­index.html
DeveloperApache Software FoundationOracle, TimesTen Performance Software, HP infooriginally founded in HP Labs it was acquired by Oracle in 2005
Initial release20151998
Current releaseApache Ignite 2.611 Release 2 (11.2.2.8.0)
License infoCommercial or Open SourceOpen Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud servicenono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++, Java, .Net
Server operating systemsLinux
OS X
Solaris
Windows
AIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Data schemeyesyes
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.yesno
Secondary indexesyesyes
SQL infoSupport of SQLANSI-99 for query and DML statements, subset of DDLyes
APIs and other access methodsHDFS API
Hibernate
JCache
Proprietary protocol
RESTful HTTP API
Spring Data
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
JDBC
ODBC
Supported programming languagesC#
C++
Java
PHP
Python
Ruby
Scala
C
C++
Java
PL/SQL
Server-side scripts infoStored proceduresyes (compute grid and cache interceptors can be used instead)PL/SQL
Triggersyes (cache interceptors and events)no
Partitioning methods infoMethods for storing different data on different nodesShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyes (replicated cache)Master-master replication
Master-slave replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes (compute grid and hadoop accelerator)no
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynoyes
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 persistentyesyes 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.yesyes
User concepts infoAccess controlSecurity Hooks for custom implementationsfine grained access rights according to SQL-standard
More information provided by the system vendor
IgniteTimesTen
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...
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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

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More resources
IgniteTimesTen
Recent citations in the news

GridGain Expands Support for Apache Ignite
8 February 2019, Datanami

GridGain Unveils Support Offering for Apache Ignite
5 February 2019, GlobeNewswire

GridGain Announces Continued Strong Momentum Throughout 2018
28 January 2019, HPCwire

GridGain Continued Strong Momentum in 2018 as Accelerating Adoption of its In-Memory Computing Platform Drives 1,724 Percent Four-Year Growth
28 January 2019, GlobeNewswire

Apache Ignite 2.7 adds new integration with TensorFlow's deep learning framework
13 December 2018, SDTimes.com

provided by Google News

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

The Guy That Created SAP's Hottest Product Ever Thinks It Will Clobber Oracle
25 January 2012, Business Insider

Shared Memory Clusters Accelerate Databases
28 February 2014, EnterpriseTech

provided by Google News

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