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DBMS > H2 vs. InterSystems Caché vs. Microsoft SQL Server vs. RRDtool vs. YTsaurus

System Properties Comparison H2 vs. InterSystems Caché vs. Microsoft SQL Server vs. RRDtool vs. YTsaurus

Editorial information provided by DB-Engines
NameH2  Xexclude from comparisonInterSystems Caché  Xexclude from comparisonMicrosoft SQL Server  Xexclude from comparisonRRDtool  Xexclude from comparisonYTsaurus  Xexclude from comparison
Caché is a deprecated database engine which is substituted with InterSystems IRIS. It therefore is removed from the DB-Engines Ranking.
DescriptionFull-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.A multi-model DBMS and application serverMicrosofts flagship relational DBMSIndustry standard data logging and graphing tool for time series data. RRD is an acronym for round-robin database. infoThe data is stored in a circular buffer, thus the system storage footprint remains constant over time.YTsaurus is an open source platform for distributed storage and processing.
Primary database modelRelational DBMSKey-value store
Object oriented DBMS
Relational DBMS
Relational DBMSTime Series DBMSDocument store
Key-value store
Secondary database modelsSpatial DBMSDocument storeDocument store
Graph DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score8.13
Rank#49  Overall
#31  Relational DBMS
Score824.29
Rank#3  Overall
#3  Relational DBMS
Score1.87
Rank#136  Overall
#11  Time Series DBMS
Score0.11
Rank#340  Overall
#45  Document stores
#50  Key-value stores
Websitewww.h2database.comwww.intersystems.com/­products/­cachewww.microsoft.com/­en-us/­sql-serveross.oetiker.ch/­rrdtoolytsaurus.tech
Technical documentationwww.h2database.com/­html/­main.htmldocs.intersystems.comlearn.microsoft.com/­en-US/­sql/­sql-serveross.oetiker.ch/­rrdtool/­docytsaurus.tech/­docs/­en
DeveloperThomas MuellerInterSystemsMicrosoftTobias OetikerYandex
Initial release20051997198919992023
Current release2.2.220, July 20232018.1.4, May 2020SQL Server 2022, November 20221.8.0, 2022
License infoCommercial or Open SourceOpen Source infodual-licence (Mozilla public license, Eclipse public license)commercialcommercial inforestricted free version is availableOpen Source infoGPL V2 and FLOSSOpen Source infoApache License, Version 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
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 languageJavaC++C infoImplementations in Java (e.g. RRD4J) and C# availableC++
Server operating systemsAll OS with a Java VMAIX
HP Open VMS
HP-UX
Linux
OS X
Solaris
Windows
Linux
Windows
HP-UX
Linux
Ubuntu
Data schemeyesdepending on used data modelyesyes
Typing infopredefined data types such as float or dateyesyesyesNumeric data onlyyes
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.noyesyesno infoExporting into and restoring from XML files possibleno
Secondary indexesyesyesyesno
SQL infoSupport of SQLyesyesyesnoYQL, an SQL-based language, is supported
APIs and other access methodsJDBC
ODBC
.NET Client API
JDBC
ODBC
RESTful HTTP API
ADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
in-process shared library
Pipes
Supported programming languagesJavaC#
C++
Java
C#
C++
Delphi
Go
Java
JavaScript (Node.js)
PHP
Python
R
Ruby
Visual Basic
C infowith librrd library
C# infowith a different implementation of RRDTool
Java infowith a different implementation of RRDTool
JavaScript (Node.js) infowith a different implementation of RRDTool
Lua
Perl
PHP infowith a wrapper library
Python
Ruby
C++
Go
Java
JavaScript
Python
Server-side scripts infoStored proceduresJava Stored Procedures and User-Defined FunctionsyesTransact SQL, .NET languages, R, Python and (with SQL Server 2019) Javano
Triggersyesyesyesno
Partitioning methods infoMethods for storing different data on different nodesnonenonetables can be distributed across several files (horizontal partitioning); sharding through federationnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesWith clustering: 2 database servers on different computers operate on identical copies of a databaseSource-replica replicationyes, but depending on the SQL-Server Editionnoneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistencynone
Foreign keys infoReferential integrityyesyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyesyes infoby using the rrdcached daemonyes
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.yesyesyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users, groups and rolesfine grained access rights according to SQL-standardnoAccess Control Lists

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More resources
H2InterSystems CachéMicrosoft SQL ServerRRDtoolYTsaurus
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