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DBMS > atoti vs. CouchDB vs. Databricks vs. Firebase Realtime Database vs. SiteWhere

System Properties Comparison atoti vs. CouchDB vs. Databricks vs. Firebase Realtime Database vs. SiteWhere

Editorial information provided by DB-Engines
Nameatoti  Xexclude from comparisonCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"  Xexclude from comparisonDatabricks  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparisonSiteWhere  Xexclude from comparison
DescriptionAn in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.A native JSON - document store inspired by Lotus Notes, scalable from globally distributed server-clusters down to mobile phones.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.Cloud-hosted realtime document store. iOS, Android, and JavaScript clients share one Realtime Database instance and automatically receive updates with the newest data.M2M integration platform for persisting/querying time series data
Primary database modelObject oriented DBMSDocument storeDocument store
Relational DBMS
Document storeTime Series DBMS
Secondary database modelsSpatial DBMS infousing the Geocouch extension
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.61
Rank#243  Overall
#10  Object oriented DBMS
Score8.30
Rank#47  Overall
#7  Document stores
Score81.08
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score13.64
Rank#39  Overall
#6  Document stores
Score0.06
Rank#383  Overall
#43  Time Series DBMS
Websiteatoti.iocouchdb.apache.orgwww.databricks.comfirebase.google.com/­products/­realtime-databasegithub.com/­sitewhere/­sitewhere
Technical documentationdocs.atoti.iodocs.couchdb.org/­en/­stabledocs.databricks.comfirebase.google.com/­docs/­databasesitewhere1.sitewhere.io/­index.html
DeveloperActiveViamApache Software Foundation infoApache top-level project, originally developed by Damien Katz, a former Lotus Notes developerDatabricksGoogle infoacquired by Google 2014SiteWhere
Initial release2005201320122010
Current release3.3.3, December 2023
License infoCommercial or Open Sourcecommercial infofree versions availableOpen Source infoApache version 2commercialcommercialOpen Source infoCommon Public Attribution License Version 1.0
Cloud-based only infoOnly available as a cloud servicenonoyesyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaErlangJava
Server operating systemsAndroid
BSD
Linux
OS X
Solaris
Windows
hostedhostedLinux
OS X
Windows
Data schemeschema-freeFlexible Schema (defined schema, partial schema, schema free)schema-freepredefined scheme
Typing infopredefined data types such as float or datenoyesyes
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.noyesnono
Secondary indexesyes infovia viewsyesyesno
SQL infoSupport of SQLMultidimensional Expressions (MDX)nowith Databricks SQLnono
APIs and other access methodsRESTful HTTP/JSON APIJDBC
ODBC
RESTful HTTP API
Android
iOS
JavaScript API
RESTful HTTP API
HTTP REST
Supported programming languagesC
C#
ColdFusion
Erlang
Haskell
Java
JavaScript
Lisp
Lua
Objective-C
OCaml
Perl
PHP
PL/SQL
Python
Ruby
Smalltalk
Python
R
Scala
Java
JavaScript
Objective-C
Server-side scripts infoStored proceduresPythonView functions in JavaScriptuser defined functions and aggregateslimited functionality with using 'rules'
TriggersyesCallbacks are triggered when data changes
Partitioning methods infoMethods for storing different data on different nodesSharding, horizontal partitioningSharding infoimproved architecture with release 2.0Sharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
yesselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyEventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Immediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoatomic operations within a single document possibleACIDyesno
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yes infostrategy: optimistic lockingyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnonono
User concepts infoAccess controlAccess rights for users can be defined per databaseyes, based on authentication and database rulesUsers with fine-grained authorization concept
More information provided by the system vendor
atotiCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"DatabricksFirebase Realtime DatabaseSiteWhere
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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More resources
atotiCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"DatabricksFirebase Realtime DatabaseSiteWhere
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