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DBMS > atoti vs. Databricks vs. FatDB vs. SQL.JS

System Properties Comparison atoti vs. Databricks vs. FatDB vs. SQL.JS

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Editorial information provided by DB-Engines
Nameatoti  Xexclude from comparisonDatabricks  Xexclude from comparisonFatDB  Xexclude from comparisonSQL.JS  Xexclude from comparison
FatDB/FatCloud has ceased operations as a company with February 2014. FatDB is discontinued and excluded from the ranking.
DescriptionAn in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.The Databricks Lakehouse Platform combines elements of data lakes and data warehouses to provide a unified view onto structured and unstructured data. It is based on Apache Spark.A .NET NoSQL DBMS that can integrate with and extend SQL Server.Port of SQLite to JavaScript
Primary database modelObject oriented DBMSDocument store
Relational DBMS
Document store
Key-value store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.56
Rank#245  Overall
#10  Object oriented DBMS
Score78.61
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score0.53
Rank#252  Overall
#116  Relational DBMS
Websiteatoti.iowww.databricks.comsql.js.org
Technical documentationdocs.atoti.iodocs.databricks.comsql.js.org/­documentation/­index.html
DeveloperActiveViamDatabricksFatCloudAlon Zakai infoenhancements implemented by others
Initial release201320122012
License infoCommercial or Open Sourcecommercial infofree versions availablecommercialcommercialOpen Source
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC#JavaScript
Server operating systemshostedWindowsserver-less, requires a JavaScript environment (browser, Node.js)
Data schemeFlexible Schema (defined schema, partial schema, schema free)schema-freeyes
Typing infopredefined data types such as float or dateyesyes
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.yesno
Secondary indexesyesyes
SQL infoSupport of SQLMultidimensional Expressions (MDX)with Databricks SQLno infoVia inetgration in SQL Serveryes infoSQL-92 is not fully supported
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings
JavaScript API
Supported programming languagesPython
R
Scala
C#JavaScript
Server-side scripts infoStored proceduresPythonuser defined functions and aggregatesyes infovia applicationsno
Triggersyes infovia applicationsno
Partitioning methods infoMethods for storing different data on different nodesSharding, horizontal partitioningShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factornone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency
none
Foreign keys infoReferential integritynoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentyesyesno infoexcept by serializing a db to a file
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes
User concepts infoAccess controlno infoCan implement custom security layer via applicationsno
More information provided by the system vendor
atotiDatabricksFatDBSQL.JS
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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atotiDatabricksFatDBSQL.JS
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