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DBMS > Google Cloud Bigtable vs. Kyligence Enterprise vs. NCache vs. Sadas Engine

System Properties Comparison Google Cloud Bigtable vs. Kyligence Enterprise vs. NCache vs. Sadas Engine

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Editorial information provided by DB-Engines
NameGoogle Cloud Bigtable  Xexclude from comparisonKyligence Enterprise  Xexclude from comparisonNCache  Xexclude from comparisonSadas Engine  Xexclude from comparison
DescriptionGoogle's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.A distributed analytics engine for big data, built on top of Apache KylinOpen-Source and Enterprise in-memory Key-Value StoreSADAS Engine is a columnar DBMS specifically designed for high performance in data warehouse environments
Primary database modelKey-value store
Wide column store
Relational DBMSKey-value storeRelational DBMS
Secondary database modelsDocument store
Search engine infoUsing distributed Lucene
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.15
Rank#95  Overall
#14  Key-value stores
#8  Wide column stores
Score0.46
Rank#266  Overall
#124  Relational DBMS
Score0.96
Rank#195  Overall
#29  Key-value stores
Score0.07
Rank#373  Overall
#157  Relational DBMS
Websitecloud.google.com/­bigtablekyligence.io/­kyligence-enterprisewww.alachisoft.com/­ncachewww.sadasengine.com
Technical documentationcloud.google.com/­bigtable/­docswww.alachisoft.com/­resources/­docswww.sadasengine.com/­en/­sadas-engine-download-free-trial-and-documentation/­#documentation
DeveloperGoogleKyligence, Inc.AlachisoftSADAS s.r.l.
Initial release2015201620052006
Current release5.3.3, April 20248.0
License infoCommercial or Open SourcecommercialcommercialOpen Source infoEnterprise Edition availablecommercial infofree trial version available
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC#, .NET, .NET Core, JavaC++
Server operating systemshostedLinuxLinux
Windows
AIX
Linux
Windows
Data schemeschema-freeyesschema-freeyes
Typing infopredefined data types such as float or datenoyespartial 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.nononono
Secondary indexesnoyesyesyes
SQL infoSupport of SQLnoANSI SQL for queries (using Apache Calcite)SQL-like query syntax and LINQ for searching the cache. Cache Synchronization with SQL Server using SQL dependency.yes
APIs and other access methodsgRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
JDBC
ODBC
RESTful HTTP API
IDistributedCache
JCache
LINQ
Proprietary native API
JDBC
ODBC
Proprietary protocol
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
Python
.Net
.Net Core
C#
Java
JavaScript (Node.js)
Python
Scala
.Net
C
C#
C++
Groovy
Java
PHP
Python
Server-side scripts infoStored proceduresnono infosupport for stored procedures with SQL-Server CLRno
Triggersnoyes infoNotificationsno
Partitioning methods infoMethods for storing different data on different nodesShardingyeshorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesInternal replication in Colossus, and regional replication between two clusters in different zonesyes, with selectable consistency levelnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyesyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Immediate ConsistencyEventual Consistency
Immediate Consistency
Strong Eventual Consistency over WAN with Conflict Resolution using Bridge Topology
Immediate Consistency
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-row operationsoptimistic locking and pessimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesyes infomanaged by 'Learn by Usage'
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)Access rights for users, groups and roles according to SQL-standard
More information provided by the system vendor
Google Cloud BigtableKyligence EnterpriseNCacheSadas Engine
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
Google Cloud BigtableKyligence EnterpriseNCacheSadas Engine
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How to use NCache in ASP.Net Core
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