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DBMS > atoti vs. LeanXcale vs. LokiJS vs. Microsoft Azure Synapse Analytics

System Properties Comparison atoti vs. LeanXcale vs. LokiJS vs. Microsoft Azure Synapse Analytics

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Editorial information provided by DB-Engines
Nameatoti  Xexclude from comparisonLeanXcale  Xexclude from comparisonLokiJS  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparison
DescriptionAn in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.A highly scalable full ACID SQL database with fast NoSQL data ingestion and GIS capabilitiesIn-memory JavaScript DBMSElastic, large scale data warehouse service leveraging the broad eco-system of SQL Server
Primary database modelObject oriented DBMSKey-value store
Relational DBMS
Document storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.56
Rank#245  Overall
#10  Object oriented DBMS
Score0.29
Rank#291  Overall
#41  Key-value stores
#132  Relational DBMS
Score0.43
Rank#264  Overall
#42  Document stores
Score20.56
Rank#31  Overall
#19  Relational DBMS
Websiteatoti.iowww.leanxcale.comgithub.com/­techfort/­LokiJSazure.microsoft.com/­services/­synapse-analytics
Technical documentationdocs.atoti.iotechfort.github.io/­LokiJSdocs.microsoft.com/­azure/­synapse-analytics
DeveloperActiveViamLeanXcaleMicrosoft
Initial release201520142016
License infoCommercial or Open Sourcecommercial infofree versions availablecommercialOpen Sourcecommercial
Cloud-based only infoOnly available as a cloud servicenononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJavaScriptC++
Server operating systemsserver-less, requires a JavaScript environment (browser, Node.js)hosted
Data schemeyesschema-freeyes
Typing infopredefined data types such as float or datenoyes
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.nono
Secondary indexesyes infovia viewsyes
SQL infoSupport of SQLMultidimensional Expressions (MDX)yes infothrough Apache Derbynoyes
APIs and other access methodsJDBC
Kafka Connector
ODBC
proprietary key/value interface
Spark Connector
JavaScript APIADO.NET
JDBC
ODBC
Supported programming languagesC
Java
Scala
JavaScriptC#
Java
PHP
Server-side scripts infoStored proceduresPythonView functions in JavaScriptTransact SQL
Triggersyesno
Partitioning methods infoMethods for storing different data on different nodesSharding, horizontal partitioningnoneSharding, horizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencynoneImmediate Consistency
Foreign keys infoReferential integrityyesnono 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 dataACIDno infoatomic operations within a single collection possibleACID
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentyesyes infoSerialization of a DB in a Node.JS/Cordova/PhoneGap environment. Usage of the IndexedDB-API in a browser.yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes
User concepts infoAccess controlnoyes

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More resources
atotiLeanXcaleLokiJSMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse
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