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DBMS > Apache Impala vs. Apache IoTDB vs. atoti vs. CouchDB

System Properties Comparison Apache Impala vs. Apache IoTDB vs. atoti vs. CouchDB

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Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonApache IoTDB  Xexclude from comparisonatoti  Xexclude from comparisonCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopAn 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.
Primary database modelRelational DBMSTime Series DBMSObject oriented DBMSDocument store
Secondary database modelsDocument storeSpatial DBMS infousing the Geocouch extension
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score13.77
Rank#40  Overall
#24  Relational DBMS
Score1.18
Rank#173  Overall
#15  Time Series DBMS
Score0.56
Rank#245  Overall
#10  Object oriented DBMS
Score9.30
Rank#45  Overall
#7  Document stores
Websiteimpala.apache.orgiotdb.apache.orgatoti.iocouchdb.apache.org
Technical documentationimpala.apache.org/­impala-docs.htmliotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmldocs.atoti.iodocs.couchdb.org/­en/­stable
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaApache Software FoundationActiveViamApache Software Foundation infoApache top-level project, originally developed by Damien Katz, a former Lotus Notes developer
Initial release201320182005
Current release4.1.0, June 20221.1.0, April 20233.3.3, December 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoApache Version 2.0commercial infofree versions availableOpen Source infoApache version 2
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++JavaJavaErlang
Server operating systemsLinuxAll OS with a Java VM (>= 1.8)Android
BSD
Linux
OS X
Solaris
Windows
Data schemeyesyesschema-free
Typing infopredefined data types such as float or dateyesyesno
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 indexesyesyesyes infovia views
SQL infoSupport of SQLSQL-like DML and DDL statementsSQL-like query languageMultidimensional Expressions (MDX)no
APIs and other access methodsJDBC
ODBC
JDBC
Native API
RESTful HTTP/JSON API
Supported programming languagesAll languages supporting JDBC/ODBCC
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
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceyesPythonView functions in JavaScript
Triggersnoyesyes
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning (by time range) + vertical partitioning (by deviceId)Sharding, horizontal partitioningSharding infoimproved architecture with release 2.0
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorselectable replication methods; using Raft/IoTConsensus algorithm to ensure strong/eventual data consistency among multiple replicasMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReduceIntegration with Hadoop and Sparknoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual Consistency
Strong Consistency with Raft
Eventual Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonono infoatomic operations within a single document possible
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yes infostrategy: optimistic locking
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesno
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and KerberosyesAccess rights for users can be defined per database

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