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

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

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Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonGraph Engine infoformer name: Trinity  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonQuasardb  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 engineElastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerDistributed, high-performance timeseries database
Primary database modelRelational DBMSGraph DBMS
Key-value store
Relational DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.66
Rank#144  Overall
#66  Relational DBMS
Score0.67
Rank#232  Overall
#21  Graph DBMS
#34  Key-value stores
Score19.93
Rank#31  Overall
#19  Relational DBMS
Score0.21
Rank#322  Overall
#29  Time Series DBMS
Websitewww.datomic.comwww.graphengine.ioazure.microsoft.com/­services/­synapse-analyticsquasar.ai
Technical documentationdocs.datomic.comwww.graphengine.io/­docs/­manualdocs.microsoft.com/­azure/­synapse-analyticsdoc.quasar.ai/­master
DeveloperCognitectMicrosoftMicrosoftquasardb
Initial release2012201020162009
Current release1.0.7075, December 20233.14.1, January 2024
License infoCommercial or Open Sourcecommercial infolimited edition freeOpen Source infoMIT Licensecommercialcommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licenses
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, Clojure.NET and CC++C++
Server operating systemsAll OS with a Java VM.NEThostedBSD
Linux
OS X
Windows
Data schemeyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyes infointeger and binary
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 indexesyesyesyes infowith tags
SQL infoSupport of SQLnonoyesSQL-like query language
APIs and other access methodsRESTful HTTP APIRESTful HTTP APIADO.NET
JDBC
ODBC
HTTP API
Supported programming languagesClojure
Java
C#
C++
F#
Visual Basic
C#
Java
PHP
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Server-side scripts infoStored proceduresyes infoTransaction FunctionsyesTransact SQLno
TriggersBy using transaction functionsnonono
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peershorizontal partitioningSharding, horizontal partitioningSharding infoconsistent hashing
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersyesSource-replica replication with selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonowith Hadoop integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonono 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 dataACIDnoACIDACID
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 infoby using LevelDB
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 infoTransient mode
User concepts infoAccess controlnoyesCryptographically strong user authentication and audit trail

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More resources
DatomicGraph Engine infoformer name: TrinityMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseQuasardb
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