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DBMS > GridGain vs. NCache vs. Teradata Aster vs. TinkerGraph

System Properties Comparison GridGain vs. NCache vs. Teradata Aster vs. TinkerGraph

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Editorial information provided by DB-Engines
NameGridGain  Xexclude from comparisonNCache  Xexclude from comparisonTeradata Aster  Xexclude from comparisonTinkerGraph  Xexclude from comparison
Teradata Aster has been integrated into other Teradata systems and therefore will be removed from the DB-Engines ranking.
DescriptionGridGain is an in-memory computing platform, built on Apache IgniteOpen-Source and Enterprise in-memory Key-Value StorePlatform for big data analytics on multistructured data sources and typesA lightweight, in-memory graph engine that serves as a reference implementation of the TinkerPop3 API
Primary database modelKey-value store
Relational DBMS
Key-value storeRelational DBMSGraph DBMS
Secondary database modelsDocument store
Search engine infoUsing distributed Lucene
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.55
Rank#138  Overall
#26  Key-value stores
#67  Relational DBMS
Score0.83
Rank#188  Overall
#31  Key-value stores
Score0.12
Rank#306  Overall
#29  Graph DBMS
Websitewww.gridgain.comwww.alachisoft.com/­ncachetinkerpop.apache.org/­docs/­current/­reference/­#tinkergraph-gremlin
Technical documentationwww.gridgain.com/­docs/­latestwww.alachisoft.com/­resources/­docs
DeveloperGridGain Systems, Inc.AlachisoftTeradata
Initial release2007200520052009
Current releaseGridGain 8.5.15.2, April 2021
License infoCommercial or Open SourcecommercialOpen Source infoEnterprise Edition availablecommercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
NCache Cloud: NCache Cloud is available in Azure and AWS Marketplaces as a Service. This means you can now obtain it instantaneously with a few mouse clicks, and seamlessly scale your cache deployment without any down time.
Implementation languageJava, C++, .NetC#, .NET, .NET Core, JavaJava
Server operating systemsLinux
OS X
Solaris
Windows
Linux
Windows
Linux
Data schemeyesschema-freeFlexible Schema (defined schema, partial schema, schema free) infodefined schema within the relational store; partial schema or schema free in the Aster File Storeschema-free
Typing infopredefined data types such as float or dateyespartial infoSupported data types are Lists, Queues, Hashsets, Dictionary and Counteryesyes
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.yesnoyes infoin Aster File Storeno
Secondary indexesyesyesyesno
SQL infoSupport of SQLANSI-99 for query and DML statements, subset of DDLSQL-like query syntax and LINQ for searching the cache. Cache Synchronization with SQL Server using SQL dependency.yesno
APIs and other access methodsHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
IDistributedCache
JCache
LINQ
Proprietary native API
ADO.NET
JDBC
ODBC
OLE DB
TinkerPop 3
Supported programming languagesC#
C++
Java
PHP
Python
Ruby
Scala
.Net
.Net Core
C#
Java
JavaScript (Node.js)
Visual Basic.NET
C
C#
C++
Java
Python
R
Groovy
Java
Server-side scripts infoStored proceduresyes (compute grid and cache interceptors can be used instead)no infosupport for stored procedures with SQL-Server CLRR packagesno
Triggersyes (cache interceptors and events)yes infoNotificationsnono
Partitioning methods infoMethods for storing different data on different nodesShardingyesShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyes (replicated cache)yes, with selectable consistency levelyes infoDimension tables are replicated across all nodes in the cluster. The number of replicas for the file store can be configured.none
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes (compute grid and hadoop accelerator)yesyes infoSQL Map-Reduce Frameworkno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency
Strong Eventual Consistency over WAN with Conflict Resolution using Bridge Topology
Immediate Consistency or Eventual Consistency depending on configurationnone
Foreign keys infoReferential integritynononoyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDoptimistic locking and pessimistic lockingACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesno
Durability infoSupport for making data persistentyesyesyesoptional
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesnoyes
User concepts infoAccess controlSecurity Hooks for custom implementationsAuthentication to access the cache via Active Directory/LDAP (possible roles: user, administrator)fine grained access rights according to SQL-standardno
More information provided by the system vendor
GridGainNCacheTeradata AsterTinkerGraph
Specific characteristicsNCache has been the market leader in .NET Distributed Caching since 2005 . NCache...
» more
Competitive advantagesNCache is 100% .NET/ .NET Core based which fully supports ASP.NET Core Sessions ,...
» more
Typical application scenariosNCache enables industries like retail, finance, banking IoT, travel, ecommerce, healthcare...
» more
Key customersBank of America, Citi, Natures Way, Charter Spectrum, Barclays, Henry Schein, GBM,...
» more
Market metricsMarket Leader in .NET Distributed Caching since 2005.
» more
Licensing and pricing modelsNCache Open Source is free on an as-is basis without any support. NCache Enterprise...
» more
News

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
GridGainNCacheTeradata AsterTinkerGraph
Recent citations in the news

GridGain Launches Service to Recognize Non-Code Contributors to the Apache Ignite Community
9 December 2021, GlobeNewswire

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22 July 2021, GlobeNewswire

In-Memory Data Grid Market Analysis, by 2031 | Oracle, IBM, Hazelcast, Scale Out Software – The Oxford Spokesman
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An overview of the Teradata Aster Analytics platform
31 May 2017, TechTarget

Big Data Analytics: Teradata Launches Aster Discovery Platform
9 October 2013, Data Center Knowledge

How to Select the Right Database for Time-Series Data – The New Stack
2 December 2021, thenewstack.io

Teradata puts Aster on Hadoop, adds 'Listener' For IoT
21 October 2015, ZDNet

Teradata Aster gets graph database, HDFS-compatible file store
8 October 2013, ZDNet

provided by Google News

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