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DBMS > Firebolt vs. Google Cloud Bigtable vs. NCache vs. searchxml

System Properties Comparison Firebolt vs. Google Cloud Bigtable vs. NCache vs. searchxml

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Editorial information provided by DB-Engines
NameFirebolt  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonNCache  Xexclude from comparisonsearchxml  Xexclude from comparison
DescriptionHighly scalable cloud data warehouse and analytics product infoForked from ClickhouseGoogle's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.Open-Source and Enterprise in-memory Key-Value StoreDBMS for structured and unstructured content wrapped with an application server
Primary database modelRelational DBMSKey-value store
Wide column store
Key-value storeNative XML DBMS
Search engine
Secondary database modelsDocument store
Search engine infoUsing distributed Lucene
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.73
Rank#140  Overall
#63  Relational DBMS
Score3.15
Rank#95  Overall
#14  Key-value stores
#8  Wide column stores
Score0.96
Rank#195  Overall
#29  Key-value stores
Score0.03
Rank#390  Overall
#7  Native XML DBMS
#24  Search engines
Websitewww.firebolt.iocloud.google.com/­bigtablewww.alachisoft.com/­ncachewww.searchxml.net/­category/­products
Technical documentationdocs.firebolt.iocloud.google.com/­bigtable/­docswww.alachisoft.com/­resources/­docswww.searchxml.net/­support/­handouts
DeveloperFirebolt Analytics Inc.GoogleAlachisoftinformationpartners gmbh
Initial release2020201520052015
Current release5.3.3, April 20241.0
License infoCommercial or Open SourcecommercialcommercialOpen Source infoEnterprise Edition availablecommercial
Cloud-based only infoOnly available as a cloud serviceyesyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC#, .NET, .NET Core, JavaC++
Server operating systemshostedhostedLinux
Windows
Windows
Data schemeyesschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyesnopartial 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.nonoyes
Secondary indexesyesnoyesyes
SQL infoSupport of SQLyesnoSQL-like query syntax and LINQ for searching the cache. Cache Synchronization with SQL Server using SQL dependency.no
APIs and other access methods.Net
ODBC
RESTful HTTP API
gRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
IDistributedCache
JCache
LINQ
Proprietary native API
RESTful HTTP API
WebDAV
XQuery
XSLT
Supported programming languagesGo
JavaScript (Node.js)
Python
C#
C++
Go
Java
JavaScript (Node.js)
Python
.Net
.Net Core
C#
Java
JavaScript (Node.js)
Python
Scala
C++ infomost other programming languages supported via APIs
Server-side scripts infoStored proceduresnonono infosupport for stored procedures with SQL-Server CLRyes infoon the application server
Triggersnonoyes infoNotificationsno
Partitioning methods infoMethods for storing different data on different nodesShardingyesnone
Replication methods infoMethods for redundantly storing data on multiple nodesdepending on storage layerInternal replication in Colossus, and regional replication between two clusters in different zonesyes, with selectable consistency levelyes infosychronisation to multiple collections
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Eventual Consistency
Immediate Consistency
Strong Eventual Consistency over WAN with Conflict Resolution using Bridge Topology
Immediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-row operationsoptimistic locking and pessimistic lockingmultiple readers, single writer
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesno
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Authentication to access the cache via Active Directory/LDAP (possible roles: user, administrator)Domain, group and role-based access control at the document level and for application services
More information provided by the system vendor
FireboltGoogle Cloud BigtableNCachesearchxml
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
FireboltGoogle Cloud BigtableNCachesearchxml
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