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DBMS > Datomic vs. LokiJS vs. Microsoft Azure Synapse Analytics vs. NSDb vs. Teradata Aster

System Properties Comparison Datomic vs. LokiJS vs. Microsoft Azure Synapse Analytics vs. NSDb vs. Teradata Aster

Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonLokiJS  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonNSDb  Xexclude from comparisonTeradata Aster  Xexclude from comparison
Teradata Aster has been integrated into other Teradata systems and therefore will be removed from the DB-Engines ranking.
DescriptionDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityIn-memory JavaScript 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 KubernetesPlatform for big data analytics on multistructured data sources and types
Primary database modelRelational DBMSDocument storeRelational DBMSTime Series DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.66
Rank#144  Overall
#66  Relational DBMS
Score0.49
Rank#260  Overall
#42  Document stores
Score19.93
Rank#31  Overall
#19  Relational DBMS
Score0.08
Rank#369  Overall
#40  Time Series DBMS
Websitewww.datomic.comgithub.com/­techfort/­LokiJSazure.microsoft.com/­services/­synapse-analyticsnsdb.io
Technical documentationdocs.datomic.comtechfort.github.io/­LokiJSdocs.microsoft.com/­azure/­synapse-analyticsnsdb.io/­Architecture
DeveloperCognitectMicrosoftTeradata
Initial release20122014201620172005
Current release1.0.7075, December 2023
License infoCommercial or Open Sourcecommercial infolimited edition freeOpen SourcecommercialOpen Source infoApache Version 2.0commercial
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, ClojureJavaScriptC++Java, Scala
Server operating systemsAll OS with a Java VMserver-less, requires a JavaScript environment (browser, Node.js)hostedLinux
macOS
Linux
Data schemeyesschema-freeyesFlexible Schema (defined schema, partial schema, schema free) infodefined schema within the relational store; partial schema or schema free in the Aster File Store
Typing infopredefined data types such as float or dateyesnoyesyes: int, bigint, decimal, stringyes
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.nonononoyes infoin Aster File Store
Secondary indexesyesyes infovia viewsyesall fields are automatically indexedyes
SQL infoSupport of SQLnonoyesSQL-like query languageyes
APIs and other access methodsRESTful HTTP APIJavaScript APIADO.NET
JDBC
ODBC
gRPC
HTTP REST
WebSocket
ADO.NET
JDBC
ODBC
OLE DB
Supported programming languagesClojure
Java
JavaScriptC#
Java
PHP
Java
Scala
C
C#
C++
Java
Python
R
Server-side scripts infoStored proceduresyes infoTransaction FunctionsView functions in JavaScriptTransact SQLnoR packages
TriggersBy using transaction functionsyesnono
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peersnoneSharding, horizontal partitioningShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersnoneyesyes infoDimension tables are replicated across all nodes in the cluster. The number of replicas for the file store can be configured.
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnonoyes infoSQL Map-Reduce Framework
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencynoneImmediate ConsistencyEventual ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynonono infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno infoatomic operations within a single collection possibleACIDnoACID
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)yes infoSerialization of a DB in a Node.JS/Cordova/PhoneGap environment. Usage of the IndexedDB-API in a browser.yesUsing 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 developmentyesno
User concepts infoAccess controlnonoyesfine grained access rights according to SQL-standard

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More resources
DatomicLokiJSMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseNSDbTeradata Aster
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