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DBMS > LevelDB vs. Microsoft SQL Server vs. Titan vs. Yanza

System Properties Comparison LevelDB vs. Microsoft SQL Server vs. Titan vs. Yanza

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Editorial information provided by DB-Engines
NameLevelDB  Xexclude from comparisonMicrosoft SQL Server  Xexclude from comparisonTitan  Xexclude from comparisonYanza  Xexclude from comparison
Titan has been decommisioned after the takeover by Datastax. It will be removed from the DB-Engines ranking. A fork has been open-sourced as JanusGraph.Yanza seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionEmbeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesMicrosofts flagship relational DBMSTitan is a Graph DBMS optimized for distributed clusters.Time Series DBMS for IoT Applications
Primary database modelKey-value storeRelational DBMSGraph DBMSTime Series DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.25
Rank#115  Overall
#19  Key-value stores
Score821.56
Rank#3  Overall
#3  Relational DBMS
Websitegithub.com/­google/­leveldbwww.microsoft.com/­en-us/­sql-servergithub.com/­thinkaurelius/­titanyanza.com
Technical documentationgithub.com/­google/­leveldb/­blob/­main/­doc/­index.mdlearn.microsoft.com/­en-US/­sql/­sql-servergithub.com/­thinkaurelius/­titan/­wiki
DeveloperGoogleMicrosoftAurelius, owned by DataStaxYanza
Initial release2011198920122015
Current release1.23, February 2021SQL Server 2022, November 2022
License infoCommercial or Open SourceOpen Source infoBSDcommercial inforestricted free version is availableOpen Source infoApache license, version 2.0commercial infofree version available
Cloud-based only infoOnly available as a cloud servicenononono infobut mainly used as a service provided by Yanza
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 languageC++C++Java
Server operating systemsIllumos
Linux
OS X
Windows
Linux
Windows
Linux
OS X
Unix
Windows
Windows
Data schemeschema-freeyesyesschema-free
Typing infopredefined data types such as float or datenoyesyesno
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.noyesno
Secondary indexesnoyesyesno
SQL infoSupport of SQLnoyesnono
APIs and other access methodsADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
HTTP API
Supported programming languagesC++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
C#
C++
Delphi
Go
Java
JavaScript (Node.js)
PHP
Python
R
Ruby
Visual Basic
Clojure
Java
Python
any language that supports HTTP calls
Server-side scripts infoStored proceduresnoTransact SQL, .NET languages, R, Python and (with SQL Server 2019) Javayesno
Triggersnoyesyesyes infoTimer and event based
Partitioning methods infoMethods for storing different data on different nodesnonetables can be distributed across several files (horizontal partitioning); sharding through federationyes infovia pluggable storage backendsnone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyes, but depending on the SQL-Server Editionyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infovia Faunus, a graph analytics engineno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integritynoyesyes infoRelationships in graphno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes infowith automatic compression on writesyesyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcastyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes
User concepts infoAccess controlnofine grained access rights according to SQL-standardUser authentification and security via Rexster Graph Serverno

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