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DBMS > Apache IoTDB vs. atoti vs. CouchDB vs. dBASE vs. Google Cloud Bigtable

System Properties Comparison Apache IoTDB vs. atoti vs. CouchDB vs. dBASE vs. Google Cloud Bigtable

Editorial information provided by DB-Engines
NameApache IoTDB  Xexclude from comparisonatoti  Xexclude from comparisonCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"  Xexclude from comparisondBASE  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparison
DescriptionAn IoT native database with high performance for data management and analysis, deployable on the edge and the cloud and integrated with Hadoop, Spark and FlinkAn 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.dBase was one of the first databases with a development environment on PC's. Its latest version dBase V is still sold as dBase classic, which needs a DOS Emulation. The up-to-date product is dBase plus.Google's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.
Primary database modelTime Series DBMSObject oriented DBMSDocument storeRelational DBMSKey-value store
Wide column store
Secondary database modelsSpatial DBMS infousing the Geocouch extension
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.31
Rank#164  Overall
#14  Time Series DBMS
Score0.61
Rank#243  Overall
#10  Object oriented DBMS
Score8.30
Rank#47  Overall
#7  Document stores
Score9.70
Rank#44  Overall
#28  Relational DBMS
Score3.15
Rank#95  Overall
#14  Key-value stores
#8  Wide column stores
Websiteiotdb.apache.orgatoti.iocouchdb.apache.orgwww.dbase.comcloud.google.com/­bigtable
Technical documentationiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmldocs.atoti.iodocs.couchdb.org/­en/­stablewww.dbase.com/­support/­knowledgebasecloud.google.com/­bigtable/­docs
DeveloperApache Software FoundationActiveViamApache Software Foundation infoApache top-level project, originally developed by Damien Katz, a former Lotus Notes developerAsthon TateGoogle
Initial release2018200519792015
Current release1.1.0, April 20233.3.3, December 2023dBASE 2019, 2019
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercial infofree versions availableOpen Source infoApache version 2commercialcommercial
Cloud-based only infoOnly available as a cloud servicenonononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJavaErlang
Server operating systemsAll OS with a Java VM (>= 1.8)Android
BSD
Linux
OS X
Solaris
Windows
DOS infodBase Classic
Windows infodBase Pro
hosted
Data schemeyesschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesnoyesno
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.nonono
Secondary indexesyesyes infovia viewsyesno
SQL infoSupport of SQLSQL-like query languageMultidimensional Expressions (MDX)nonono
APIs and other access methodsJDBC
Native API
RESTful HTTP/JSON APInone infoThe IDE can access other DBMS or ODBC-sources.gRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
Supported programming languagesC
C#
C++
Go
Java
Python
Scala
C
C#
ColdFusion
Erlang
Haskell
Java
JavaScript
Lisp
Lua
Objective-C
OCaml
Perl
PHP
PL/SQL
Python
Ruby
Smalltalk
dBase proprietary IDEC#
C++
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresyesPythonView functions in JavaScriptno infoThe IDE can access stored procedures in other database systems.no
Triggersyesyesnono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by time range) + vertical partitioning (by deviceId)Sharding, horizontal partitioningSharding infoimproved architecture with release 2.0noneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication methods; using Raft/IoTConsensus algorithm to ensure strong/eventual data consistency among multiple replicasMulti-source replication
Source-replica replication
noneInternal replication in Colossus, and regional replication between two clusters in different zones
MapReduce infoOffers an API for user-defined Map/Reduce methodsIntegration with Hadoop and Sparknoyesnoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Strong Consistency with Raft
Eventual ConsistencyImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanono infoatomic operations within a single document possibleno infonot for dBase internal data, but IDE does support transactions when accessing external DBMSAtomic single-row operations
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yes infostrategy: optimistic lockingyesyes
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.yesyesnono
User concepts infoAccess controlyesAccess rights for users can be defined per databaseAccess rights for users and rolesAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)

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More resources
Apache IoTDBatotiCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"dBASEGoogle Cloud Bigtable
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