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DBMS > Atos Standard Common Repository vs. Datomic vs. HugeGraph vs. Microsoft Azure Synapse Analytics vs. NSDb

System Properties Comparison Atos Standard Common Repository vs. Datomic vs. HugeGraph vs. Microsoft Azure Synapse Analytics vs. NSDb

Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonDatomic  Xexclude from comparisonHugeGraph  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonNSDb  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.
DescriptionHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityA fast-speed and highly-scalable Graph DBMSElastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerScalable, High-performance Time Series DBMS designed for Real-time Analytics on top of Kubernetes
Primary database modelDocument store
Key-value store
Relational DBMSGraph DBMSRelational DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.66
Rank#144  Overall
#66  Relational DBMS
Score0.17
Rank#335  Overall
#31  Graph DBMS
Score19.93
Rank#31  Overall
#19  Relational DBMS
Score0.08
Rank#369  Overall
#40  Time Series DBMS
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.datomic.comgithub.com/­hugegraph
hugegraph.apache.org
azure.microsoft.com/­services/­synapse-analyticsnsdb.io
Technical documentationdocs.datomic.comhugegraph.apache.org/­docsdocs.microsoft.com/­azure/­synapse-analyticsnsdb.io/­Architecture
DeveloperAtos Convergence CreatorsCognitectBaiduMicrosoft
Initial release20162012201820162017
Current release17031.0.7075, December 20230.9
License infoCommercial or Open Sourcecommercialcommercial infolimited edition freeOpen Source infoApache Version 2.0commercialOpen 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++Java, Scala
Server operating systemsLinuxAll OS with a Java VMLinux
macOS
Unix
hostedLinux
macOS
Data schemeSchema and schema-less with LDAP viewsyesyesyes
Typing infopredefined data types such as float or dateoptionalyesyesyesyes: int, bigint, decimal, string
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.yesnononono
Secondary indexesyesyesyes infoalso supports composite index and range indexyesall fields are automatically indexed
SQL infoSupport of SQLnononoyesSQL-like query language
APIs and other access methodsLDAPRESTful HTTP APIJava API
RESTful HTTP API
TinkerPop Gremlin
ADO.NET
JDBC
ODBC
gRPC
HTTP REST
WebSocket
Supported programming languagesAll languages with LDAP bindingsClojure
Java
Groovy
Java
Python
C#
Java
PHP
Java
Scala
Server-side scripts infoStored proceduresnoyes infoTransaction Functionsasynchronous Gremlin script jobsTransact SQLno
TriggersyesBy using transaction functionsnono
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionnone infoBut extensive use of caching in the application peersyes infodepending on used storage backend, e.g. Cassandra and HBaseSharding, horizontal partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesnone infoBut extensive use of caching in the application peersyes infodepending on used storage backend, e.g. Cassandra and HBaseyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnovia hugegraph-sparknono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyEventual ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynonoyes infoedges in graphno 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 dataAtomic execution of specific operationsACIDACIDACIDno
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)yesyesUsing Apache Lucene
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes inforecommended only for testing and developmentyes
User concepts infoAccess controlLDAP bind authenticationnoUsers, roles and permissionsyes

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More resources
Atos Standard Common RepositoryDatomicHugeGraphMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseNSDb
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