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DBMS > InterSystems Caché vs. Lovefield vs. NCache vs. Teradata Aster

System Properties Comparison InterSystems Caché vs. Lovefield vs. NCache vs. Teradata Aster

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Editorial information provided by DB-Engines
NameInterSystems Caché  Xexclude from comparisonLovefield  Xexclude from comparisonNCache  Xexclude from comparisonTeradata Aster  Xexclude from comparison
Caché is a deprecated database engine which is substituted with InterSystems IRIS. It therefore is removed from the DB-Engines Ranking.Teradata Aster has been integrated into other Teradata systems and therefore will be removed from the DB-Engines ranking.
DescriptionA multi-model DBMS and application serverEmbeddable relational database for web apps written in pure JavaScriptOpen-Source and Enterprise in-memory Key-Value StorePlatform for big data analytics on multistructured data sources and types
Primary database modelKey-value store
Object oriented DBMS
Relational DBMS
Relational DBMSKey-value storeRelational DBMS
Secondary database modelsDocument storeDocument store
Search engine infoUsing distributed Lucene
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.32
Rank#290  Overall
#132  Relational DBMS
Score0.98
Rank#196  Overall
#29  Key-value stores
Websitewww.intersystems.com/­products/­cachegoogle.github.io/­lovefieldwww.alachisoft.com/­ncache
Technical documentationdocs.intersystems.comgithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mdwww.alachisoft.com/­resources/­docs
DeveloperInterSystemsGoogleAlachisoftTeradata
Initial release1997201420052005
Current release2018.1.4, May 20202.1.12, February 20175.3.3, April 2024
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open Source infoEnterprise Edition availablecommercial
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.
Implementation languageJavaScriptC#, .NET, .NET Core, Java
Server operating systemsAIX
HP Open VMS
HP-UX
Linux
OS X
Solaris
Windows
server-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, SafariLinux
Windows
Linux
Data schemedepending on used data modelyesschema-freeFlexible Schema (defined schema, partial schema, schema free) infodefined schema within the relational store; partial schema or schema free in the Aster File Store
Typing infopredefined data types such as float or dateyesyespartial infoSupported data types are Lists, Queues, Hashsets, Dictionary and Counteryes
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.yesnonoyes infoin Aster File Store
Secondary indexesyesyesyesyes
SQL infoSupport of SQLyesSQL-like query language infovia JavaScript builder patternSQL-like query syntax and LINQ for searching the cache. Cache Synchronization with SQL Server using SQL dependency.yes
APIs and other access methods.NET Client API
JDBC
ODBC
RESTful HTTP API
IDistributedCache
JCache
LINQ
Proprietary native API
ADO.NET
JDBC
ODBC
OLE DB
Supported programming languagesC#
C++
Java
JavaScript.Net
.Net Core
C#
Java
JavaScript (Node.js)
Python
Scala
C
C#
C++
Java
Python
R
Server-side scripts infoStored proceduresyesnono infosupport for stored procedures with SQL-Server CLRR packages
TriggersyesUsing read-only observersyes infoNotificationsno
Partitioning methods infoMethods for storing different data on different nodesnonenoneyesSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationnoneyes, 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.
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesyes infoSQL Map-Reduce Framework
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 configuration
Foreign keys infoReferential integrityyesyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDoptimistic locking and pessimistic lockingACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes, by using IndexedDB or the cloud service Firebase Realtime Databaseyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infousing MemoryDByesno
User concepts infoAccess controlAccess rights for users, groups and rolesnoAuthentication to access the cache via Active Directory/LDAP (possible roles: user, administrator)fine grained access rights according to SQL-standard
More information provided by the system vendor
InterSystems CachéLovefieldNCacheTeradata Aster
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

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More resources
InterSystems CachéLovefieldNCacheTeradata Aster
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