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DBMS > Datomic vs. Graph Engine vs. HBase vs. Microsoft Azure Synapse Analytics

System Properties Comparison Datomic vs. Graph Engine vs. HBase vs. Microsoft Azure Synapse Analytics

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Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonGraph Engine infoformer name: Trinity  Xexclude from comparisonHBase  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparison
DescriptionDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityA distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engineWide-column store based on Apache Hadoop and on concepts of BigTableElastic, large scale data warehouse service leveraging the broad eco-system of SQL Server
Primary database modelRelational DBMSGraph DBMS
Key-value store
Wide column storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.59
Rank#150  Overall
#69  Relational DBMS
Score0.61
Rank#240  Overall
#21  Graph DBMS
#35  Key-value stores
Score30.50
Rank#26  Overall
#2  Wide column stores
Score20.56
Rank#31  Overall
#19  Relational DBMS
Websitewww.datomic.comwww.graphengine.iohbase.apache.orgazure.microsoft.com/­services/­synapse-analytics
Technical documentationdocs.datomic.comwww.graphengine.io/­docs/­manualhbase.apache.org/­book.htmldocs.microsoft.com/­azure/­synapse-analytics
DeveloperCognitectMicrosoftApache Software Foundation infoApache top-level project, originally developed by PowersetMicrosoft
Initial release2012201020082016
Current release1.0.6735, June 20232.3.4, January 2021
License infoCommercial or Open Sourcecommercial infolimited edition freeOpen Source infoMIT LicenseOpen Source infoApache version 2commercial
Cloud-based only infoOnly available as a cloud servicenononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, Clojure.NET and CJavaC++
Server operating systemsAll OS with a Java VM.NETLinux
Unix
Windows infousing Cygwin
hosted
Data schemeyesyesschema-free, schema definition possibleyes
Typing infopredefined data types such as float or dateyesyesoptions to bring your own types, AVROyes
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 indexesyesnoyes
SQL infoSupport of SQLnononoyes
APIs and other access methodsRESTful HTTP APIRESTful HTTP APIJava API
RESTful HTTP API
Thrift
ADO.NET
JDBC
ODBC
Supported programming languagesClojure
Java
C#
C++
F#
Visual Basic
C
C#
C++
Groovy
Java
PHP
Python
Scala
C#
Java
PHP
Server-side scripts infoStored proceduresyes infoTransaction Functionsyesyes infoCoprocessors in JavaTransact SQL
TriggersBy using transaction functionsnoyesno
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peershorizontal partitioningShardingSharding, horizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersMulti-source replication
Source-replica replication
yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononono infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraints
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoSingle row ACID (across millions of columns)ACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)optional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storageyesyes
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 developmentyesyes
User concepts infoAccess controlnoAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACyes

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More resources
DatomicGraph Engine infoformer name: TrinityHBaseMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse
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