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

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

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Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonPrometheus  Xexclude from comparisonRealm  Xexclude from comparisonRiak KV  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopOpen-source Time Series DBMS and monitoring systemA DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core DataDistributed, fault tolerant key-value store
Primary database modelRelational DBMSTime Series DBMSDocument storeKey-value store infowith links between data sets and object tags for the creation of secondary indexes
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score14.03
Rank#40  Overall
#24  Relational DBMS
Score7.92
Rank#51  Overall
#2  Time Series DBMS
Score7.71
Rank#52  Overall
#9  Document stores
Score4.44
Rank#80  Overall
#9  Key-value stores
Websiteimpala.apache.orgprometheus.iorealm.io
Technical documentationimpala.apache.org/­impala-docs.htmlprometheus.io/­docsrealm.io/­docswww.tiot.jp/­riak-docs/­riak/­kv/­latest
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaRealm, acquired by MongoDB in May 2019OpenSource, formerly Basho Technologies
Initial release2013201520142009
Current release4.1.0, June 20223.2.0, December 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoApache 2.0Open SourceOpen Source infoApache version 2, commercial enterprise edition
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++GoErlang
Server operating systemsLinuxLinux
Windows
Android
Backend: server-less
iOS
Windows
Linux
OS X
Data schemeyesyesyesschema-free
Typing infopredefined data types such as float or dateyesNumeric data onlyyesno
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 possiblenono
Secondary indexesyesnoyesrestricted
SQL infoSupport of SQLSQL-like DML and DDL statementsnonono
APIs and other access methodsJDBC
ODBC
RESTful HTTP/JSON APIHTTP API
Native Erlang Interface
Supported programming languagesAll languages supporting JDBC/ODBC.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
.Net
Java infowith Android only
Objective-C
React Native
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-reducenono inforuns within the applications so server-side scripts are unnecessaryErlang
Triggersnonoyes infoChange Listenersyes infopre-commit hooks and post-commit hooks
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnoneSharding infono "single point of failure"
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factoryes infoby Federationnoneselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencynoneImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynononono infolinks between data sets can be stored
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
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.nonoyes infoIn-Memory realm
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and Kerberosnoyesyes, using Riak Security

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