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

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

Editorial information provided by DB-Engines
NameBlazegraph  Xexclude from comparisonDatomic  Xexclude from comparisonHive  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.Datomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilitydata warehouse software for querying and managing large distributed datasets, built on HadoopElastic, 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
Score1.82
Rank#127  Overall
#62  Relational DBMS
Score84.74
Rank#14  Overall
#9  Relational DBMS
Score17.27
Rank#39  Overall
#24  Relational DBMS
Score0.28
Rank#271  Overall
#11  Multivalue DBMS
Websiteblazegraph.comwww.datomic.comhive.apache.orgazure.microsoft.com/­services/­synapse-analyticsmilvus.io
Technical documentationwiki.blazegraph.comdocs.datomic.comcwiki.apache.org/­confluence/­display/­Hive/­Homedocs.microsoft.com/­azure/­synapse-analyticsmilvus.io/­docs/­overview.md
DeveloperBlazegraphCognitectApache Software Foundation infoinitially developed by FacebookMicrosoft
Initial release20062012201220162019
Current release2.1.5, March 20190.9.5951, July 20193.1.2, August 20191.0, March 2021
License infoCommercial or Open SourceOpen Source infoextended commercial license availablecommercial infolimited edition freeOpen Source infoApache Version 2commercialOpen 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 languageJavaJava, ClojureJavaC++C++
Server operating systemsLinux
OS X
Windows
All OS with a Java VMAll 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.nonono
Secondary indexesyesyesyesyesno
SQL infoSupport of SQLSPARQL is used as query languagenoSQL-like DML and DDL statementsyesno
APIs and other access methodsJava API
RESTful HTTP API
SPARQL QUERY
SPARQL UPDATE
TinkerPop 3
RESTful HTTP APIJDBC
ODBC
Thrift
ADO.NET
JDBC
ODBC
RESTful HTTP API
Supported programming languages.Net
C
C++
Java
JavaScript
PHP
Python
Ruby
Clojure
Java
C++
Java
PHP
Python
C#
Java
PHP
C++
Go
Java
Python
Server-side scripts infoStored proceduresyesyes infoTransaction Functionsyes infouser defined functions and integration of map-reduceTransact SQLno
TriggersnoBy using transaction functionsnonono
Partitioning methods infoMethods for storing different data on different nodesShardingnone infoBut extensive use of caching in the application peersShardingSharding, horizontal partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesnone infoBut extensive use of caching in the application peersselectable replication factoryes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infoquery execution via MapReducenono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoRelationships in Graphsnonono 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 dataACIDACIDnoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyesyes
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)noAccess rights for users, groups and rolesyesno

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BlazegraphDatomicHiveMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseMilvus
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