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DBMS > Apache Impala vs. Bangdb vs. BoltDB vs. CouchDB vs. Tkrzw

System Properties Comparison Apache Impala vs. Bangdb vs. BoltDB vs. CouchDB vs. Tkrzw

Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonBangdb  Xexclude from comparisonBoltDB  Xexclude from comparisonCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"  Xexclude from comparisonTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopConverged and high performance database for device data, events, time series, document and graphAn embedded key-value store for Go.A native JSON - document store inspired by Lotus Notes, scalable from globally distributed server-clusters down to mobile phones.A concept of libraries, allowing an application program to store and query key-value pairs in a file. Successor of Tokyo Cabinet and Kyoto Cabinet
Primary database modelRelational DBMSDocument store
Graph DBMS
Time Series DBMS
Key-value storeDocument storeKey-value store
Secondary database modelsDocument storeSpatial DBMSSpatial 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
Score0.16
Rank#338  Overall
#47  Document stores
#32  Graph DBMS
#31  Time Series DBMS
Score0.80
Rank#215  Overall
#31  Key-value stores
Score8.30
Rank#47  Overall
#7  Document stores
Score0.07
Rank#372  Overall
#57  Key-value stores
Websiteimpala.apache.orgbangdb.comgithub.com/­boltdb/­boltcouchdb.apache.orgdbmx.net/­tkrzw
Technical documentationimpala.apache.org/­impala-docs.htmldocs.bangdb.comdocs.couchdb.org/­en/­stable
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaSachin Sinha, BangDBApache Software Foundation infoApache top-level project, originally developed by Damien Katz, a former Lotus Notes developerMikio Hirabayashi
Initial release20132012201320052020
Current release4.1.0, June 2022BangDB 2.0, October 20213.3.3, December 20230.9.3, August 2020
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoBSD 3Open Source infoMIT LicenseOpen Source infoApache version 2Open Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C, C++GoErlangC++
Server operating systemsLinuxLinuxBSD
Linux
OS X
Solaris
Windows
Android
BSD
Linux
OS X
Solaris
Windows
Linux
macOS
Data schemeyesschema-freeschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyesyes: string, long, double, int, geospatial, stream, eventsnonono
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 infosecondary, composite, nested, reverse, geospatialnoyes infovia views
SQL infoSupport of SQLSQL-like DML and DDL statementsSQL like support with command line toolnonono
APIs and other access methodsJDBC
ODBC
Proprietary protocol
RESTful HTTP API
RESTful HTTP/JSON API
Supported programming languagesAll languages supporting JDBC/ODBCC
C#
C++
Java
Python
GoC
C#
ColdFusion
Erlang
Haskell
Java
JavaScript
Lisp
Lua
Objective-C
OCaml
Perl
PHP
PL/SQL
Python
Ruby
Smalltalk
C++
Java
Python
Ruby
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reducenonoView functions in JavaScriptno
Triggersnoyes, Notifications (with Streaming only)noyesno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithmnoneSharding infoimproved architecture with release 2.0none
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorselectable replication factor, Knob for CAP (enterprise version only)noneMulti-source replication
Source-replica replication
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyTunable consistency, set CAP knob accordinglynoneEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDyesno infoatomic operations within a single document possible
Concurrency infoSupport for concurrent manipulation of datayesyes, optimistic concurrency controlyesyes infostrategy: optimistic lockingyes
Durability infoSupport for making data persistentyesyes, implements WAL (Write ahead log) as wellyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes, run db with in-memory only modenonoyes infousing specific database classes
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and Kerberosyes (enterprise version only)noAccess rights for users can be defined per databaseno

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More resources
Apache ImpalaBangdbBoltDBCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"Tkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet
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