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DBMS > Apache Impala vs. CouchDB vs. Dragonfly vs. Google BigQuery vs. OpenTSDB

System Properties Comparison Apache Impala vs. CouchDB vs. Dragonfly vs. Google BigQuery vs. OpenTSDB

Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"  Xexclude from comparisonDragonfly  Xexclude from comparisonGoogle BigQuery  Xexclude from comparisonOpenTSDB  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.A drop-in Redis replacement that scales vertically to support millions of operations per second and terabyte sized workloads, all on a single instanceLarge scale data warehouse service with append-only tablesScalable Time Series DBMS based on HBase
Primary database modelRelational DBMSDocument storeKey-value 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
Score12.45
Rank#40  Overall
#24  Relational DBMS
Score8.30
Rank#47  Overall
#7  Document stores
Score0.49
Rank#261  Overall
#38  Key-value stores
Score58.10
Rank#19  Overall
#13  Relational DBMS
Score1.68
Rank#142  Overall
#12  Time Series DBMS
Websiteimpala.apache.orgcouchdb.apache.orggithub.com/­dragonflydb/­dragonfly
www.dragonflydb.io
cloud.google.com/­bigqueryopentsdb.net
Technical documentationimpala.apache.org/­impala-docs.htmldocs.couchdb.org/­en/­stablewww.dragonflydb.io/­docscloud.google.com/­bigquery/­docsopentsdb.net/­docs/­build/­html/­index.html
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 developerDragonflyDB team and community contributorsGooglecurrently maintained by Yahoo and other contributors
Initial release20132005202320102011
Current release4.1.0, June 20223.3.3, December 20231.0, March 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoApache version 2Open Source infoBSL 1.1commercialOpen Source infoLGPL
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++ErlangC++Java
Server operating systemsLinuxAndroid
BSD
Linux
OS X
Solaris
Windows
LinuxhostedLinux
Windows
Data schemeyesschema-freescheme-freeyesschema-free
Typing infopredefined data types such as float or dateyesnostrings, hashes, lists, sets, sorted sets, bit arraysyesnumeric data for metrics, strings for tags
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.nonononono
Secondary indexesyesyes infovia viewsnonono
SQL infoSupport of SQLSQL-like DML and DDL statementsnonoyesno
APIs and other access methodsJDBC
ODBC
RESTful HTTP/JSON APIProprietary protocol infoRESP - REdis Serialization ProtocolRESTful HTTP/JSON APIHTTP API
Telnet API
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
C
C#
C++
Clojure
D
Dart
Elixir
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
Lua
Objective-C
Perl
PHP
Python
R
Ruby
Rust
Scala
Swift
Tcl
.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
Erlang
Go
Java
Python
R
Ruby
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceView functions in JavaScriptLuauser defined functions infoin JavaScriptno
Triggersnoyespublish/subscribe channels provide some trigger functionalitynono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoimproved architecture with release 2.0noneSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorMulti-source replication
Source-replica replication
Source-replica replicationselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReduceyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual ConsistencyEventual ConsistencyImmediate ConsistencyImmediate Consistency infobased on HBase
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanono infoatomic operations within a single document possibleAtomic execution of command blocks and scriptsno infoSince BigQuery is designed for querying datano
Concurrency infoSupport for concurrent manipulation of datayesyes infostrategy: optimistic lockingyes, strict serializability by the serveryesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesnono
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and KerberosAccess rights for users can be defined per databasePassword-based authenticationAccess privileges (owner, writer, reader) on dataset, table or view level infoGoogle Cloud Identity & Access Management (IAM)no

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More resources
Apache ImpalaCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"DragonflyGoogle BigQueryOpenTSDB
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