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DBMS > Apache Impala vs. CouchDB vs. Datomic vs. Warp 10

System Properties Comparison Apache Impala vs. CouchDB vs. Datomic vs. Warp 10

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Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"  Xexclude from comparisonDatomic  Xexclude from comparisonWarp 10  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopA native JSON - document store inspired by Lotus Notes, scalable from globally distributed server-clusters down to mobile phones.Datomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityTimeSeries DBMS specialized on timestamped geo data based on LevelDB or HBase
Primary database modelRelational DBMSDocument storeRelational DBMSTime Series DBMS
Secondary database modelsDocument storeSpatial DBMS infousing the Geocouch extension
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score15.06
Rank#39  Overall
#24  Relational DBMS
Score11.73
Rank#45  Overall
#7  Document stores
Score2.08
Rank#132  Overall
#64  Relational DBMS
Score0.13
Rank#342  Overall
#32  Time Series DBMS
Websiteimpala.apache.orgcouchdb.apache.orgwww.datomic.comwww.warp10.io
Technical documentationimpala.apache.org/­impala-docs.htmldocs.couchdb.org/­en/­stabledocs.datomic.comwww.warp10.io/­content/­02_Getting_started
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaApache Software Foundation infoApache top-level project, originally developed by Damien Katz, a former Lotus Notes developerCognitectSenX
Initial release2013200520122015
Current release4.1.0, June 20223.3.3, December 20231.0.6735, June 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoApache version 2commercial infolimited edition freeOpen Source infoApache License 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++ErlangJava, ClojureJava
Server operating systemsLinuxAndroid
BSD
Linux
OS X
Solaris
Windows
All OS with a Java VMLinux
OS X
Windows
Data schemeyesschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesnoyesyes
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.nononono
Secondary indexesyesyes infovia viewsyesno
SQL infoSupport of SQLSQL-like DML and DDL statementsnonono
APIs and other access methodsJDBC
ODBC
RESTful HTTP/JSON APIRESTful HTTP APIHTTP API
Jupyter
WebSocket
Supported programming languagesAll languages supporting JDBC/ODBCC
C#
ColdFusion
Erlang
Haskell
Java
JavaScript
Lisp
Lua
Objective-C
OCaml
Perl
PHP
PL/SQL
Python
Ruby
Smalltalk
Clojure
Java
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceView functions in JavaScriptyes infoTransaction Functionsyes infoWarpScript
TriggersnoyesBy using transaction functionsno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoimproved architecture with release 2.0none infoBut extensive use of caching in the application peersSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorMulti-source replication
Source-replica replication
none infoBut extensive use of caching in the application peersselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReduceyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual ConsistencyImmediate ConsistencyImmediate Consistency infobased on HBase
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanono infoatomic operations within a single document possibleACIDno
Concurrency infoSupport for concurrent manipulation of datayesyes infostrategy: optimistic lockingyesyes
Durability infoSupport for making data persistentyesyesyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes inforecommended only for testing and developmentyes
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and KerberosAccess rights for users can be defined per databasenoMandatory use of cryptographic tokens, containing fine-grained authorizations

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Apache ImpalaCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"DatomicWarp 10
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