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DBMS > Apache Impala vs. BoltDB vs. CouchDB vs. Dragonfly vs. SurrealDB

System Properties Comparison Apache Impala vs. BoltDB vs. CouchDB vs. Dragonfly vs. SurrealDB

Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonBoltDB  Xexclude from comparisonCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"  Xexclude from comparisonDragonfly  Xexclude from comparisonSurrealDB  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopAn 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 drop-in Redis replacement that scales vertically to support millions of operations per second and terabyte sized workloads, all on a single instanceA fully ACID transactional, developer-friendly, multi-model DBMS
Primary database modelRelational DBMSKey-value storeDocument storeKey-value storeDocument store
Graph 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
Score0.80
Rank#215  Overall
#31  Key-value stores
Score8.30
Rank#47  Overall
#7  Document stores
Score0.49
Rank#261  Overall
#38  Key-value stores
Score1.02
Rank#190  Overall
#33  Document stores
#18  Graph DBMS
Websiteimpala.apache.orggithub.com/­boltdb/­boltcouchdb.apache.orggithub.com/­dragonflydb/­dragonfly
www.dragonflydb.io
surrealdb.com
Technical documentationimpala.apache.org/­impala-docs.htmldocs.couchdb.org/­en/­stablewww.dragonflydb.io/­docssurrealdb.com/­docs
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 contributorsSurrealDB Ltd
Initial release20132013200520232022
Current release4.1.0, June 20223.3.3, December 20231.0, March 2023v1.5.0, May 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoMIT LicenseOpen Source infoApache version 2Open Source infoBSL 1.1Open Source
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++GoErlangC++Rust
Server operating systemsLinuxBSD
Linux
OS X
Solaris
Windows
Android
BSD
Linux
OS X
Solaris
Windows
LinuxLinux
macOS
Windows
Data schemeyesschema-freeschema-freescheme-freeschema-free
Typing infopredefined data types such as float or dateyesnonostrings, hashes, lists, sets, sorted sets, bit arraysyes
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 indexesyesnoyes infovia viewsno
SQL infoSupport of SQLSQL-like DML and DDL statementsnononoSQL-like query language
APIs and other access methodsJDBC
ODBC
RESTful HTTP/JSON APIProprietary protocol infoRESP - REdis Serialization ProtocolGraphQL
RESTful HTTP API
WebSocket
Supported programming languagesAll languages supporting JDBC/ODBCGoC
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
Deno
Go
JavaScript (Node.js)
Rust
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reducenoView functions in JavaScriptLua
Triggersnonoyespublish/subscribe channels provide some trigger functionality
Partitioning methods infoMethods for storing different data on different nodesShardingnoneSharding infoimproved architecture with release 2.0
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factornoneMulti-source replication
Source-replica replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencynoneEventual ConsistencyEventual Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyesno infoatomic operations within a single document possibleAtomic execution of command blocks and scriptsACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes infostrategy: optimistic lockingyes, strict serializability by the serveryes
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.nononoyes
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and KerberosnoAccess rights for users can be defined per databasePassword-based authenticationyes, based on authentication and database rules

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More resources
Apache ImpalaBoltDBCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"DragonflySurrealDB
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