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DBMS > Datomic vs. HugeGraph vs. Microsoft Azure Synapse Analytics vs. NSDb vs. Riak TS

System Properties Comparison Datomic vs. HugeGraph vs. Microsoft Azure Synapse Analytics vs. NSDb vs. Riak TS

Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonHugeGraph  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonNSDb  Xexclude from comparisonRiak TS  Xexclude from comparison
DescriptionDatomic 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 KubernetesRiak TS is a distributed NoSQL database optimized for time series data and based on Riak KV
Primary database modelRelational DBMSGraph DBMSRelational DBMSTime Series 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
Score0.28
Rank#307  Overall
#27  Time Series DBMS
Websitewww.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/­Architecturewww.tiot.jp/­riak-docs/­riak/­ts/­latest
DeveloperCognitectBaiduMicrosoftOpen Source, formerly Basho Technologies
Initial release20122018201620172015
Current release1.0.7075, December 20230.93.0.0, September 2022
License infoCommercial or Open Sourcecommercial infolimited edition freeOpen Source infoApache Version 2.0commercialOpen Source infoApache Version 2.0Open Source
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, ClojureJavaC++Java, ScalaErlang
Server operating systemsAll OS with a Java VMLinux
macOS
Unix
hostedLinux
macOS
Linux
OS X
Data schemeyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyes: int, bigint, decimal, stringno
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.nonononono
Secondary indexesyesyes infoalso supports composite index and range indexyesall fields are automatically indexedrestricted
SQL infoSupport of SQLnonoyesSQL-like query languageyes, limited
APIs and other access methodsRESTful HTTP APIJava API
RESTful HTTP API
TinkerPop Gremlin
ADO.NET
JDBC
ODBC
gRPC
HTTP REST
WebSocket
HTTP API
Native Erlang Interface
Supported programming languagesClojure
Java
Groovy
Java
Python
C#
Java
PHP
Java
Scala
C infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
Server-side scripts infoStored proceduresyes infoTransaction Functionsasynchronous Gremlin script jobsTransact SQLnoErlang
TriggersBy using transaction functionsnonoyes infopre-commit hooks and post-commit hooks
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peersyes infodepending on used storage backend, e.g. Cassandra and HBaseSharding, horizontal partitioningShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersyes infodepending on used storage backend, e.g. Cassandra and HBaseyesselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnovia hugegraph-sparknonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate ConsistencyEventual ConsistencyEventual Consistency
Foreign keys infoReferential integritynoyes infoedges in graphno infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsnono infolinks between datasets can be stored
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyesUsing Apache Luceneyes
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 developmentyes
User concepts infoAccess controlnoUsers, roles and permissionsyesno

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More resources
DatomicHugeGraphMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseNSDbRiak TS
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