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DBMS > Blazegraph vs. Microsoft SQL Server vs. SAP HANA vs. XTDB vs. YTsaurus

System Properties Comparison Blazegraph vs. Microsoft SQL Server vs. SAP HANA vs. XTDB vs. YTsaurus

Editorial information provided by DB-Engines
NameBlazegraph  Xexclude from comparisonMicrosoft SQL Server  Xexclude from comparisonSAP HANA  Xexclude from comparisonXTDB infoformerly named Crux  Xexclude from comparisonYTsaurus  Xexclude from comparison
Amazon has acquired Blazegraph's domain and (probably) product. It is said that Amazon Neptune is based on Blazegraph.
DescriptionHigh-performance graph database supporting Semantic Web (RDF/SPARQL) and Graph Database (tinkerpop3, blueprints, vertex-centric) APIs with scale-out and High Availability.Microsofts flagship relational DBMSIn-memory, column based data store. Available as appliance or cloud serviceA general purpose database with bitemporal SQL and Datalog and graph queriesYTsaurus is an open source platform for distributed storage and processing.
Primary database modelGraph DBMS
RDF store
Relational DBMSRelational DBMSDocument storeDocument store
Key-value store
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Document store
Graph DBMS infowith SAP Hana, Enterprise Edition
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.81
Rank#213  Overall
#19  Graph DBMS
#8  RDF stores
Score821.56
Rank#3  Overall
#3  Relational DBMS
Score44.27
Rank#23  Overall
#16  Relational DBMS
Score0.18
Rank#332  Overall
#46  Document stores
Score0.21
Rank#324  Overall
#45  Document stores
#48  Key-value stores
Websiteblazegraph.comwww.microsoft.com/­en-us/­sql-serverwww.sap.com/­products/­hana.htmlgithub.com/­xtdb/­xtdb
www.xtdb.com
ytsaurus.tech
Technical documentationwiki.blazegraph.comlearn.microsoft.com/­en-US/­sql/­sql-serverhelp.sap.com/­hanawww.xtdb.com/­docsytsaurus.tech/­docs/­en
DeveloperBlazegraphMicrosoftSAPJuxt Ltd.Yandex
Initial release20061989201020192023
Current release2.1.5, March 2019SQL Server 2022, November 20222.0 SPS07 (AprilĀ 4, 2023), April 20231.19, September 2021
License infoCommercial or Open SourceOpen Source infoextended commercial license availablecommercial inforestricted free version is availablecommercialOpen Source infoMIT LicenseOpen Source infoApache License, Version 2.0
Cloud-based only infoOnly available as a cloud servicenonono infoalso available as a cloud based servicenono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++ClojureC++
Server operating systemsLinux
OS X
Windows
Linux
Windows
Appliance or cloud-serviceAll OS with a Java 8 (and higher) VM
Linux
Ubuntu
Data schemeschema-freeyesyesschema-free
Typing infopredefined data types such as float or dateyes infoRDF literal typesyesyesyes, extensible-data-notation formatyes
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.yesnonono
Secondary indexesyesyesyesyes
SQL infoSupport of SQLSPARQL is used as query languageyesyeslimited SQL, making use of Apache CalciteYQL, an SQL-based language, is supported
APIs and other access methodsJava API
RESTful HTTP API
SPARQL QUERY
SPARQL UPDATE
TinkerPop 3
ADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
JDBC
ODBC
HTTP REST
JDBC
Supported programming languages.Net
C
C++
Java
JavaScript
PHP
Python
Ruby
C#
C++
Delphi
Go
Java
JavaScript (Node.js)
PHP
Python
R
Ruby
Visual Basic
Clojure
Java
C++
Go
Java
JavaScript
Python
Server-side scripts infoStored proceduresyesTransact SQL, .NET languages, R, Python and (with SQL Server 2019) JavaSQLScript, Rno
Triggersnoyesyesno
Partitioning methods infoMethods for storing different data on different nodesShardingtables can be distributed across several files (horizontal partitioning); sharding through federationyesnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes, but depending on the SQL-Server Editionyesyes, each node contains all datayes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoRelationships in Graphsyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes, flexibel persistency by using storage technologies like Apache Kafka, RocksDB or LMDByes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlSecurity and Authentication via Web Application Container (Tomcat, Jetty)fine grained access rights according to SQL-standardyesAccess Control Lists

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More resources
BlazegraphMicrosoft SQL ServerSAP HANAXTDB infoformerly named CruxYTsaurus
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