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DBMS > Ehcache vs. Google Cloud Firestore vs. Kyligence Enterprise vs. Microsoft SQL Server

System Properties Comparison Ehcache vs. Google Cloud Firestore vs. Kyligence Enterprise vs. Microsoft SQL Server

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Editorial information provided by DB-Engines
NameEhcache  Xexclude from comparisonGoogle Cloud Firestore  Xexclude from comparisonKyligence Enterprise  Xexclude from comparisonMicrosoft SQL Server  Xexclude from comparison
DescriptionA widely adopted Java cache with tiered storage optionsCloud Firestore is an auto-scaling document database for storing, syncing, and querying data for mobile and web apps. It offers seamless integration with other Firebase and Google Cloud Platform products.A distributed analytics engine for big data, built on top of Apache KylinMicrosofts flagship relational DBMS
Primary database modelKey-value storeDocument storeRelational DBMSRelational DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.64
Rank#68  Overall
#8  Key-value stores
Score7.36
Rank#53  Overall
#9  Document stores
Score0.46
Rank#266  Overall
#124  Relational DBMS
Score821.56
Rank#3  Overall
#3  Relational DBMS
Websitewww.ehcache.orgfirebase.google.com/­products/­firestorekyligence.io/­kyligence-enterprisewww.microsoft.com/­en-us/­sql-server
Technical documentationwww.ehcache.org/­documentationfirebase.google.com/­docs/­firestorelearn.microsoft.com/­en-US/­sql/­sql-server
DeveloperTerracotta Inc, owned by Software AGGoogleKyligence, Inc.Microsoft
Initial release2009201720161989
Current release3.10.0, March 2022SQL Server 2022, November 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2; commercial licenses availablecommercialcommercialcommercial inforestricted free version is available
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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SQLServer Flex @ STACKIT offers a managed version of SQL Server with adjustable CPU, RAM, storage amount and speed, in enterprise grade to perfectly match all application requirements. All services are 100% GDPR-compliant.
Implementation languageJavaJavaC++
Server operating systemsAll OS with a Java VMhostedLinuxLinux
Windows
Data schemeschema-freeschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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.nononoyes
Secondary indexesnoyesyesyes
SQL infoSupport of SQLnonoANSI SQL for queries (using Apache Calcite)yes
APIs and other access methodsJCacheAndroid
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
JDBC
ODBC
RESTful HTTP API
ADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
Supported programming languagesJavaGo
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
C#
C++
Delphi
Go
Java
JavaScript (Node.js)
PHP
Python
R
Ruby
Visual Basic
Server-side scripts infoStored proceduresnoyes, Firebase Rules & Cloud FunctionsTransact SQL, .NET languages, R, Python and (with SQL Server 2019) Java
Triggersyes infoCache Event Listenersyes, with Cloud Functionsyes
Partitioning methods infoMethods for storing different data on different nodesSharding infoby using Terracotta ServerShardingtables can be distributed across several files (horizontal partitioning); sharding through federation
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoby using Terracotta ServerMulti-source replicationyes, but depending on the SQL-Server Edition
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoUsing Cloud Dataflowyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable Consistency (Strong, Eventual, Weak)Immediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infosupports JTA and can work as an XA resourceyesACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes infousing a tiered cache-storage approachyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes
User concepts infoAccess controlnoAccess rights for users, groups and roles based on Google Cloud Identity and Access Management. Security Rules for 3rd party authentication using Firebase Auth.fine grained access rights according to SQL-standard

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More resources
EhcacheGoogle Cloud FirestoreKyligence EnterpriseMicrosoft SQL Server
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