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DBMS > Apache Impala vs. MongoDB vs. Riak KV

System Properties Comparison Apache Impala vs. MongoDB vs. Riak KV

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Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonMongoDB  Xexclude from comparisonRiak KV  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopOne of the most popular document stores available both as a fully managed cloud service and for deployment on self-managed infrastructureDistributed, fault tolerant key-value store
Primary database modelRelational DBMSDocument storeKey-value store infowith links between data sets and object tags for the creation of secondary indexes
Secondary database modelsDocument storeSpatial DBMS
Search engine infointegrated Lucene index, currently in MongoDB Atlas only.
Time Series DBMS infoTime Series Collections introduced in Release 5.0
Vector DBMS infocurrently available in the MongoDB Atlas cloud service only
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score13.77
Rank#40  Overall
#24  Relational DBMS
Score421.65
Rank#5  Overall
#1  Document stores
Score4.10
Rank#82  Overall
#9  Key-value stores
Websiteimpala.apache.orgwww.mongodb.com
Technical documentationimpala.apache.org/­impala-docs.htmlwww.mongodb.com/­docs/­manualwww.tiot.jp/­riak-docs/­riak/­kv/­latest
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaMongoDB, IncOpenSource, formerly Basho Technologies
Initial release201320092009
Current release4.1.0, June 20226.0.7, June 20233.2.0, December 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoMongoDB Inc.'s Server Side Public License v1. Prior versions were published under GNU AGPL v3.0. Commercial licenses are also available.Open Source infoApache version 2, commercial enterprise edition
Cloud-based only infoOnly available as a cloud servicenono infoMongoDB available as DBaaS (MongoDB Atlas)no
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C++Erlang
Server operating systemsLinuxLinux
OS X
Solaris
Windows
Linux
OS X
Data schemeyesschema-free infoAlthough schema-free, documents of the same collection often follow the same structure. Optionally impose all or part of a schema by defining a JSON schema.schema-free
Typing infopredefined data types such as float or dateyesyes infostring, integer, double, decimal, boolean, date, object_id, geospatialno
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.nono
Secondary indexesyesyesrestricted
SQL infoSupport of SQLSQL-like DML and DDL statementsRead-only SQL queries via the MongoDB Atlas SQL Interfaceno
APIs and other access methodsJDBC
ODBC
GraphQL
HTTP REST
Prisma
proprietary protocol using JSON
HTTP API
Native Erlang Interface
Supported programming languagesAll languages supporting JDBC/ODBCActionscript infounofficial driver
C
C#
C++
Clojure infounofficial driver
ColdFusion infounofficial driver
D infounofficial driver
Dart infounofficial driver
Delphi infounofficial driver
Erlang
Go
Groovy infounofficial driver
Haskell
Java
JavaScript
Kotlin
Lisp infounofficial driver
Lua infounofficial driver
MatLab infounofficial driver
Perl
PHP
PowerShell infounofficial driver
Prolog infounofficial driver
Python
R infounofficial driver
Ruby
Rust
Scala
Smalltalk infounofficial driver
Swift
C infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceJavaScriptErlang
Triggersnoyes infoin MongoDB Atlas onlyyes infopre-commit hooks and post-commit hooks
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoPartitioned by hashed, ranged, or zoned sharding keys. Live resharding allows users to change their shard keys as an online operation with zero downtime.Sharding infono "single point of failure"
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorMulti-Source deployments with MongoDB Atlas Global Clusters
Source-replica replication
selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReduceyesyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual Consistency infocan be individually decided for each read operation
Immediate Consistency infodefault behaviour
Eventual Consistency
Foreign keys infoReferential integritynono infotypically not used, however similar functionality with DBRef possibleno infolinks between data sets can be stored
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoMulti-document ACID Transactions with snapshot isolationno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyes infooptional, enabled by defaultyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infoIn-memory storage engine introduced with MongoDB version 3.2
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and KerberosAccess rights for users and rolesyes, using Riak Security
More information provided by the system vendor
Apache ImpalaMongoDBRiak KV
Specific characteristicsMongoDB provides an integrated suite of cloud database and data services to accelerate...
» more
Competitive advantagesBuilt around the flexible document data model and unified API, MongoDB is a developer...
» more
Typical application scenariosAI-enriched intelligent apps (Continental, Telefonica, Iron Mountain) Internet of...
» more
Key customersADP, Adobe, Amadeus, AstraZeneca, Auto Trader, Barclays, BBVA, Bosch, Cisco, CERN,...
» more
Market metricsHundreds of millions downloads, over 150,000+ Atlas clusters provisioned every month...
» more
Licensing and pricing modelsMongoDB database server: Server-Side Public License (SSPL) . Commercial licenses...
» more

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More resources
Apache ImpalaMongoDBRiak KV
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