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DBMS > Blazegraph vs. Datomic vs. IBM Cloudant vs. Microsoft Azure Synapse Analytics vs. ToroDB

System Properties Comparison Blazegraph vs. Datomic vs. IBM Cloudant vs. Microsoft Azure Synapse Analytics vs. ToroDB

Editorial information provided by DB-Engines
NameBlazegraph  Xexclude from comparisonDatomic  Xexclude from comparisonIBM Cloudant  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonToroDB  Xexclude from comparison
Amazon has acquired Blazegraph's domain and (probably) product. It is said that Amazon Neptune is based on Blazegraph.ToroDB seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
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 durabilityDatabase as a Service offering based on Apache CouchDBElastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerA MongoDB-compatible JSON document store, built on top of PostgreSQL
Primary database modelGraph DBMS
RDF store
Relational DBMSDocument storeRelational DBMSDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.75
Rank#219  Overall
#19  Graph DBMS
#8  RDF stores
Score1.59
Rank#150  Overall
#69  Relational DBMS
Score2.68
Rank#106  Overall
#20  Document stores
Score20.56
Rank#31  Overall
#19  Relational DBMS
Websiteblazegraph.comwww.datomic.comwww.ibm.com/­products/­cloudantazure.microsoft.com/­services/­synapse-analyticsgithub.com/­torodb/­server
Technical documentationwiki.blazegraph.comdocs.datomic.comcloud.ibm.com/­docs/­Cloudantdocs.microsoft.com/­azure/­synapse-analytics
DeveloperBlazegraphCognitectIBM, Apache Software Foundation infoIBM acquired Cloudant in February 2014Microsoft8Kdata
Initial release20062012201020162016
Current release2.1.5, March 20191.0.6735, June 2023
License infoCommercial or Open SourceOpen Source infoextended commercial license availablecommercial infolimited edition freecommercialcommercialOpen Source infoAGPL-V3
Cloud-based only infoOnly available as a cloud servicenonoyesyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJava, ClojureErlangC++Java
Server operating systemsLinux
OS X
Windows
All OS with a Java VMhostedhostedAll OS with a Java 7 VM
Data schemeschema-freeyesschema-freeyesschema-free
Typing infopredefined data types such as float or dateyes infoRDF literal typesyesnoyesyes infostring, integer, double, boolean, date, object_id
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.nononono
Secondary indexesyesyesyesyes
SQL infoSupport of SQLSPARQL is used as query languagenonoyes
APIs and other access methodsJava API
RESTful HTTP API
SPARQL QUERY
SPARQL UPDATE
TinkerPop 3
RESTful HTTP APIRESTful HTTP/JSON APIADO.NET
JDBC
ODBC
Supported programming languages.Net
C
C++
Java
JavaScript
PHP
Python
Ruby
Clojure
Java
C#
Java
JavaScript
Objective-C
PHP
Ruby
C#
Java
PHP
Server-side scripts infoStored proceduresyesyes infoTransaction FunctionsView functions (Map-Reduce) in JavaScriptTransact SQL
TriggersnoBy using transaction functionsyesnono
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 peersMulti-source replication
Source-replica replication
yesSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyEventual ConsistencyImmediate ConsistencyEventual Consistency
Immediate 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 dataACIDACIDno infoatomic operations within a document possibleACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoOptimistic lockingyesyes
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 can be defined per databaseyesAccess rights for users and roles

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More resources
BlazegraphDatomicIBM CloudantMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseToroDB
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