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DBMS > Apache Impala vs. CouchDB vs. Dolt vs. HugeGraph vs. XTDB

System Properties Comparison Apache Impala vs. CouchDB vs. Dolt vs. HugeGraph vs. XTDB

Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"  Xexclude from comparisonDolt  Xexclude from comparisonHugeGraph  Xexclude from comparisonXTDB infoformerly named Crux  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 MySQL compatible DBMS with Git-like versioning of data and schemaA fast-speed and highly-scalable Graph DBMSA general purpose database with bitemporal SQL and Datalog and graph queries
Primary database modelRelational DBMSDocument storeRelational DBMSGraph DBMSDocument store
Secondary database modelsDocument storeSpatial DBMS infousing the Geocouch extensionDocument store
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
Score0.98
Rank#203  Overall
#93  Relational DBMS
Score0.14
Rank#340  Overall
#31  Graph DBMS
Score0.16
Rank#336  Overall
#48  Document stores
Websiteimpala.apache.orgcouchdb.apache.orggithub.com/­dolthub/­dolt
www.dolthub.com
github.com/­hugegraph
hugegraph.apache.org
github.com/­xtdb/­xtdb
www.xtdb.com
Technical documentationimpala.apache.org/­impala-docs.htmldocs.couchdb.org/­en/­stabledocs.dolthub.comhugegraph.apache.org/­docswww.xtdb.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 developerDoltHub IncBaiduJuxt Ltd.
Initial release20132005201820182019
Current release4.1.0, June 20223.3.3, December 20230.91.19, September 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoApache version 2Open Source infoApache Version 2.0Open Source infoApache Version 2.0Open Source infoMIT License
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++ErlangGoJavaClojure
Server operating systemsLinuxAndroid
BSD
Linux
OS X
Solaris
Windows
Linux
macOS
Windows
Linux
macOS
Unix
All OS with a Java 8 (and higher) VM
Linux
Data schemeyesschema-freeyesyesschema-free
Typing infopredefined data types such as float or dateyesnoyesyesyes, extensible-data-notation format
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 viewsyesyes infoalso supports composite index and range indexyes
SQL infoSupport of SQLSQL-like DML and DDL statementsnoyesnolimited SQL, making use of Apache Calcite
APIs and other access methodsJDBC
ODBC
RESTful HTTP/JSON APICLI Client
HTTP REST
Java API
RESTful HTTP API
TinkerPop Gremlin
HTTP REST
JDBC
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
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Groovy
Java
Python
Clojure
Java
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceView functions in JavaScriptyes infocurrently in alpha releaseasynchronous Gremlin script jobsno
Triggersnoyesyesnono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoimproved architecture with release 2.0noneyes infodepending on used storage backend, e.g. Cassandra and HBasenone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorMulti-source replication
Source-replica replication
A database can be cloned to multiple locations and be used there in isolation. Data/schema changes can be pushed/pulled explicitly between locations.yes infodepending on used storage backend, e.g. Cassandra and HBaseyes, each node contains all data
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReduceyesnovia hugegraph-sparkno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual ConsistencyEventual Consistency
Foreign keys infoReferential integritynonoyesyes infoedges in graphno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanono infoatomic operations within a single document possibleACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes infostrategy: optimistic lockingyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes, flexibel persistency by using storage technologies like Apache Kafka, RocksDB or LMDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and KerberosAccess rights for users can be defined per databaseOnly one user is configurable, and must be specified in the config file at startupUsers, roles and permissions

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More resources
Apache ImpalaCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"DoltHugeGraphXTDB infoformerly named Crux
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