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DBMS > Blazegraph vs. Brytlyt vs. Datomic vs. Microsoft Azure Synapse Analytics vs. Milvus

System Properties Comparison Blazegraph vs. Brytlyt vs. Datomic vs. Microsoft Azure Synapse Analytics vs. Milvus

Editorial information provided by DB-Engines
NameBlazegraph  Xexclude from comparisonBrytlyt  Xexclude from comparisonDatomic  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonMilvus  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.Scalable GPU-accelerated RDBMS for very fast analytic and streaming workloads, leveraging PostgreSQLDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityElastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerA DBMS designed for efficient storage of vector data and vector similarity searches
Primary database modelGraph DBMS
RDF store
Relational DBMSRelational DBMSRelational DBMSMultivalue DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.91
Rank#183  Overall
#16  Graph DBMS
#8  RDF stores
Score0.39
Rank#253  Overall
#119  Relational DBMS
Score1.82
Rank#127  Overall
#62  Relational DBMS
Score17.27
Rank#39  Overall
#24  Relational DBMS
Score0.28
Rank#271  Overall
#11  Multivalue DBMS
Websiteblazegraph.comwww.brytlyt.comwww.datomic.comazure.microsoft.com/­services/­synapse-analyticsmilvus.io
Technical documentationwiki.blazegraph.comdocs.datomic.comdocs.microsoft.com/­azure/­synapse-analyticsmilvus.io/­docs/­overview.md
DeveloperBlazegraphBrytlytCognitectMicrosoft
Initial release20062016201220162019
Current release2.1.5, March 20190.9, October 20160.9.5951, July 20191.0, March 2021
License infoCommercial or Open SourceOpen Source infoextended commercial license availablecommercialcommercial infolimited edition freecommercialOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC, C++ and CUDAJava, ClojureC++C++
Server operating systemsLinux
OS X
Windows
Linux
OS X
Windows
All OS with a Java VMhostedLinux
Data schemeschema-freeyesyesyes
Typing infopredefined data types such as float or dateyes infoRDF literal typesyesyesyesNumeric data only
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.yes infospecific XML-type available, but no XML query functionality.nonono
Secondary indexesyesyesyesyesno
SQL infoSupport of SQLSPARQL is used as query languageyesnoyesno
APIs and other access methodsJava API
RESTful HTTP API
SPARQL QUERY
SPARQL UPDATE
TinkerPop 3
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
RESTful HTTP APIADO.NET
JDBC
ODBC
RESTful HTTP API
Supported programming languages.Net
C
C++
Java
JavaScript
PHP
Python
Ruby
.Net
C
C++
Delphi
Java
Perl
Python
Tcl
Clojure
Java
C#
Java
PHP
C++
Go
Java
Python
Server-side scripts infoStored proceduresyesuser defined functions infoin PL/pgSQLyes infoTransaction FunctionsTransact SQLno
TriggersnoyesBy using transaction functionsnono
Partitioning methods infoMethods for storing different data on different nodesShardingnone infoBut extensive use of caching in the application peersSharding, horizontal partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replicationnone infoBut extensive use of caching in the application peersyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoRelationships in Graphsyesnono infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes inforecommended only for testing and developmentno
User concepts infoAccess controlSecurity and Authentication via Web Application Container (Tomcat, Jetty)fine grained access rights according to SQL-standardnoyesno

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More resources
BlazegraphBrytlytDatomicMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseMilvus
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