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DBMS > FatDB vs. Graphite vs. NCache vs. Spark SQL vs. YDB

System Properties Comparison FatDB vs. Graphite vs. NCache vs. Spark SQL vs. YDB

Editorial information provided by DB-Engines
NameFatDB  Xexclude from comparisonGraphite  Xexclude from comparisonNCache  Xexclude from comparisonSpark SQL  Xexclude from comparisonYDB  Xexclude from comparison
FatDB/FatCloud has ceased operations as a company with February 2014. FatDB is discontinued and excluded from the ranking.
DescriptionA .NET NoSQL DBMS that can integrate with and extend SQL Server.Data logging and graphing tool for time series data infoThe storage layer (fixed size database) is called WhisperOpen-Source and Enterprise in-memory Key-Value StoreSpark SQL is a component on top of 'Spark Core' for structured data processingA distributed fault-tolerant database service, with high availability, scalability, immediate consistency and ACID transactions and providing an Amazon DynamoDB compatible API
Primary database modelDocument store
Key-value store
Time Series DBMSKey-value storeRelational DBMSDocument store
Relational DBMS
Secondary database modelsDocument store
Search engine infoUsing distributed Lucene
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.57
Rank#73  Overall
#5  Time Series DBMS
Score0.94
Rank#195  Overall
#29  Key-value stores
Score18.96
Rank#33  Overall
#20  Relational DBMS
Score0.35
Rank#278  Overall
#43  Document stores
#127  Relational DBMS
Websitegithub.com/­graphite-project/­graphite-webwww.alachisoft.com/­ncachespark.apache.org/­sqlgithub.com/­ydb-platform/­ydb
ydb.tech
Technical documentationgraphite.readthedocs.iowww.alachisoft.com/­resources/­docsspark.apache.org/­docs/­latest/­sql-programming-guide.htmlydb.tech/­en/­docs
DeveloperFatCloudChris DavisAlachisoftApache Software FoundationYandex
Initial release20122006200520142019
Current release5.3.3, April 20243.5.0 ( 2.13), September 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open Source infoEnterprise Edition availableOpen Source infoApache 2.0Open Source infoApache 2.0; commercial license available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC#PythonC#, .NET, .NET Core, JavaScala
Server operating systemsWindowsLinux
Unix
Linux
Windows
Linux
OS X
Windows
Linux
Data schemeschema-freeyesschema-freeyesFlexible Schema (defined schema, partial schema, schema free)
Typing infopredefined data types such as float or dateyesNumeric data onlypartial 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.nononono
Secondary indexesyesnoyesnoyes
SQL infoSupport of SQLno infoVia inetgration in SQL ServernoSQL-like query syntax and LINQ for searching the cache. Cache Synchronization with SQL Server using SQL dependency.SQL-like DML and DDL statementsSQL-like query language (YQL)
APIs and other access methods.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings
HTTP API
Sockets
IDistributedCache
JCache
LINQ
Proprietary native API
JDBC
ODBC
RESTful HTTP API (DynamoDB compatible)
Supported programming languagesC#JavaScript (Node.js)
Python
.Net
.Net Core
C#
Java
JavaScript (Node.js)
Python
Scala
Java
Python
R
Scala
Go
Java
JavaScript (Node.js)
PHP
Python
Server-side scripts infoStored proceduresyes infovia applicationsnono infosupport for stored procedures with SQL-Server CLRnono
Triggersyes infovia applicationsnoyes infoNotificationsno
Partitioning methods infoMethods for storing different data on different nodesShardingnoneyesyes, utilizing Spark CoreSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factornoneyes, with selectable consistency levelnoneActive-passive shard replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
noneEventual Consistency
Immediate Consistency
Strong Eventual Consistency over WAN with Conflict Resolution using Bridge Topology
Immediate Consistency
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonooptimistic locking and pessimistic lockingnoACID
Concurrency infoSupport for concurrent manipulation of datayesyes infolockingyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnono
User concepts infoAccess controlno infoCan implement custom security layer via applicationsnoAuthentication to access the cache via Active Directory/LDAP (possible roles: user, administrator)noAccess rights defined for Yandex Cloud users
More information provided by the system vendor
FatDBGraphiteNCacheSpark SQLYDB
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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FatDBGraphiteNCacheSpark SQLYDB
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