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DBMS > Apache Impala vs. OpenSearch vs. Prometheus vs. Riak KV

System Properties Comparison Apache Impala vs. OpenSearch vs. Prometheus vs. Riak KV

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Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonOpenSearch  Xexclude from comparisonPrometheus  Xexclude from comparisonRiak KV  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopA distributed, RESTful search and analytics engine forked from Elasticsearch and based on Apache LuceneOpen-source Time Series DBMS and monitoring systemDistributed, fault tolerant key-value store
Primary database modelRelational DBMSSearch engineTime Series DBMSKey-value store infowith links between data sets and object tags for the creation of secondary indexes
Secondary database modelsDocument storeVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score10.63
Rank#40  Overall
#24  Relational DBMS
Score16.31
Rank#36  Overall
#4  Search engines
Score7.56
Rank#49  Overall
#3  Time Series DBMS
Score3.84
Rank#76  Overall
#9  Key-value stores
Websiteimpala.apache.orggithub.com/­opensearch-project
opensearch.org
prometheus.io
Technical documentationimpala.apache.org/­impala-docs.htmlopensearch.org/­docs/­latestprometheus.io/­docswww.tiot.jp/­riak-docs/­riak/­kv/­latest
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaAmazon Web ServicesOpenSource, formerly Basho Technologies
Initial release2013202120152009
Current release4.1.0, June 20222.5.0, January 20233.2.0, December 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoApache Version 2.0Open Source infoApache 2.0Open Source infoApache version 2, commercial enterprise edition
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
STACKIT OpenSearch offers OpenSearch in a managed version in enterprise grade, 100% GDPR-compliant, for a wide range of applications like analytics, website search, offering scalability and fast data access.
Implementation languageC++JavaGoErlang
Server operating systemsLinuxAll OS with a Java VMLinux
Windows
Linux
OS X
Data schemeyesschema-free infoFlexible type definitions. Once a type is defined, it is persistentyesschema-free
Typing infopredefined data types such as float or dateyesyesNumeric data onlyno
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 infoImport of XML data possibleno
Secondary indexesyesyes infoAll search fields are automatically indexednorestricted
SQL infoSupport of SQLSQL-like DML and DDL statementsSQL-like query languagenono
APIs and other access methodsJDBC
ODBC
Java API
RESTful HTTP/JSON API
RESTful HTTP/JSON APIHTTP API
Native Erlang Interface
Supported programming languagesAll languages supporting JDBC/ODBCGo
Java
JavaScript (Node.js)
PHP
Python
Ruby infoElasticsearch client
.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
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-reduceyesnoErlang
Triggersnoyes infoby using the 'percolation' featurenoyes infopre-commit hooks and post-commit hooks
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingSharding infono "single point of failure"
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factoryesyes infoby Federationselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual Consistency infoSynchronous doc based replication. Get by ID may show delays up to 1 sec. Configurable write consistency: one, quorum, allnoneEventual Consistency
Foreign keys infoReferential integritynononono infolinks between data sets can be stored
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and Kerberosnoyes, using Riak Security
More information provided by the system vendor
Apache ImpalaOpenSearchPrometheusRiak KV
Specific characteristicsOpenSearch is a highly scalable and extensible open-source software suite for search,...
» more
Competitive advantagesDistributed as fully open source under Apache License, Version 2.0 (ALv2), OpenSearch...
» more
Typical application scenariosThe OpenSearch platform is used across a broad range of search , analytics, and observability...
» more
Licensing and pricing modelsThe OpenSearch Project offers open source software licensed under Apache License...
» more

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Apache ImpalaOpenSearchPrometheusRiak KV
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