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DBMS > Lovefield vs. Manticore Search vs. NCache vs. Rockset

System Properties Comparison Lovefield vs. Manticore Search vs. NCache vs. Rockset

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Editorial information provided by DB-Engines
NameLovefield  Xexclude from comparisonManticore Search  Xexclude from comparisonNCache  Xexclude from comparisonRockset  Xexclude from comparison
DescriptionEmbeddable relational database for web apps written in pure JavaScriptMulti-storage database for search, including full-text search.Open-Source and Enterprise in-memory Key-Value StoreA scalable, reliable search and analytics service in the cloud, built on RocksDB
Primary database modelRelational DBMSSearch engineKey-value storeDocument store
Secondary database modelsTime Series DBMS infousing the Manticore Columnar LibraryDocument store
Search engine infoUsing distributed Lucene
Relational DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.22
Rank#306  Overall
#138  Relational DBMS
Score0.23
Rank#301  Overall
#21  Search engines
Score0.91
Rank#196  Overall
#29  Key-value stores
Score1.07
Rank#180  Overall
#31  Document stores
Websitegoogle.github.io/­lovefieldmanticoresearch.comwww.alachisoft.com/­ncacherockset.com
Technical documentationgithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mdmanual.manticoresearch.comwww.alachisoft.com/­resources/­docsdocs.rockset.com
DeveloperGoogleManticore SoftwareAlachisoftRockset
Initial release2014201720052019
Current release2.1.12, February 20176.0, February 20235.3.3, April 2024
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoGPL version 2Open Source infoEnterprise Edition availablecommercial
Cloud-based only infoOnly available as a cloud servicenononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaScriptC++C#, .NET, .NET Core, JavaC++
Server operating systemsserver-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, SafariFreeBSD
Linux
macOS
Windows
Linux
Windows
hosted
Data schemeyesFixed schemaschema-freeschema-free
Typing infopredefined data types such as float or dateyesInt, Bigint, Float, Timestamp, Bit, Int array, Bigint array, JSON, Booleanpartial infoSupported data types are Lists, Queues, Hashsets, Dictionary and Counterdynamic typing
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.noCan index from XMLnono infoingestion from XML files supported
Secondary indexesyesyes infofull-text index on all search fieldsyesall fields are automatically indexed
SQL infoSupport of SQLSQL-like query language infovia JavaScript builder patternSQL-like query languageSQL-like query syntax and LINQ for searching the cache. Cache Synchronization with SQL Server using SQL dependency.Read-only SQL queries, including JOINs
APIs and other access methodsBinary API
RESTful HTTP/JSON API
RESTful HTTP/SQL API
SQL over MySQL
IDistributedCache
JCache
LINQ
Proprietary native API
HTTP REST
Supported programming languagesJavaScriptElixir
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
.Net
.Net Core
C#
Java
JavaScript (Node.js)
Python
Scala
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnouser defined functionsno infosupport for stored procedures with SQL-Server CLRno
TriggersUsing read-only observersnoyes infoNotificationsno
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infoPartitioning is done manually, search queries against distributed index is supportedyesAutomatic sharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSynchronous replication based on Galera libraryyes, with selectable consistency levelyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Strong Eventual Consistency over WAN with Conflict Resolution using Bridge Topology
Eventual Consistency
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyes infoisolated transactions for atomic changes and binary logging for safe writesoptimistic locking and pessimistic lockingno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes, by using IndexedDB or the cloud service Firebase Realtime Databaseyes infoThe original contents of fields are not stored in the Manticore index.yesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infousing MemoryDByes
User concepts infoAccess controlnonoAuthentication to access the cache via Active Directory/LDAP (possible roles: user, administrator)Access rights for users and organizations can be defined via Rockset console
More information provided by the system vendor
LovefieldManticore SearchNCacheRockset
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
LovefieldManticore SearchNCacheRockset
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