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DBMS > atoti vs. Datastax Enterprise vs. FatDB vs. SQL.JS

System Properties Comparison atoti vs. Datastax Enterprise vs. FatDB vs. SQL.JS

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Editorial information provided by DB-Engines
Nameatoti  Xexclude from comparisonDatastax Enterprise  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.DataStax Enterprise (DSE) is the always-on, scalable data platform built on Apache Cassandra and designed for hybrid Cloud. DSE integrates graph, search, analytics, administration, developer tooling, and monitoring into a unified platform.A .NET NoSQL DBMS that can integrate with and extend SQL Server.Port of SQLite to JavaScript
Primary database modelObject oriented DBMSWide column storeDocument store
Key-value store
Relational DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Search engine
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.59
Rank#242  Overall
#10  Object oriented DBMS
Score6.31
Rank#57  Overall
#4  Wide column stores
Score0.57
Rank#248  Overall
#114  Relational DBMS
Websiteatoti.iowww.datastax.com/­products/­datastax-enterprisesql.js.org
Technical documentationdocs.atoti.iodocs.datastax.comsql.js.org/­documentation/­index.html
DeveloperActiveViamDataStaxFatCloudAlon Zakai infoenhancements implemented by others
Initial release201120122012
Current release6.8, April 2020
License infoCommercial or Open Sourcecommercial infofree versions availablecommercialcommercialOpen Source
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Datastax Astra DB: Astra DB simplifies cloud-native Cassandra application development for your apps, microservices and functions. Deploy in minutes on AWS, Google Cloud, Azure, and have it managed for you by the experts, with serverless, pay-as-you-go pricing.
Implementation languageJavaJavaC#JavaScript
Server operating systemsLinux
OS X
Windowsserver-less, requires a JavaScript environment (browser, Node.js)
Data schemeschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyesyes
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 indexesyesyes
SQL infoSupport of SQLMultidimensional Expressions (MDX)SQL-like DML and DDL statements (CQL); Spark SQLno infoVia inetgration in SQL Serveryes infoSQL-92 is not fully supported
APIs and other access methodsProprietary protocol infoCQL (Cassandra Query Language)
TinkerPop Gremlin infowith DSE Graph
.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings
JavaScript API
Supported programming languagesC
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
C#JavaScript
Server-side scripts infoStored proceduresPythonnoyes infovia applicationsno
Triggersyesyes infovia applicationsno
Partitioning methods infoMethods for storing different data on different nodesSharding, horizontal partitioningSharding infono "single point of failure"Shardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesconfigurable replication factor, datacenter aware, advanced replication for edge computingselectable replication factornone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Tunable Consistency infoconsistency level can be individually decided with each write operation
Eventual Consistency
Immediate Consistency
none
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoAtomicity and isolation are supported for single operationsnoACID
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.yesyesyes
User concepts infoAccess controlAccess rights for users can be defined per objectno infoCan implement custom security layer via applicationsno
More information provided by the system vendor
atotiDatastax EnterpriseFatDBSQL.JS
Specific characteristicsDataStax Enterprise is scale-out data infrastructure for enterprises that need to...
» more
Competitive advantagesSupporting the following application requirements: Zero downtime - Built on Apache...
» more
Typical application scenariosApplications that must be massively and linearly scalable with 100% uptime and able...
» more
Key customersCapital One, Cisco, Comcast, eBay, McDonald's, Microsoft, Safeway, Sony, UBS, and...
» more
Market metricsAmong the Forbes 100 Most Innovative Companies, DataStax is trusted by 5 of the top...
» more
Licensing and pricing modelsAnnual subscription
» more

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atotiDatastax EnterpriseFatDBSQL.JS
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