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DBMS > Apache Impala vs. Firebase Realtime Database vs. Hawkular Metrics vs. Memcached

System Properties Comparison Apache Impala vs. Firebase Realtime Database vs. Hawkular Metrics vs. Memcached

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Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonMemcached  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopCloud-hosted realtime document store. iOS, Android, and JavaScript clients share one Realtime Database instance and automatically receive updates with the newest data.Hawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.In-memory key-value store, originally intended for caching
Primary database modelRelational DBMSDocument storeTime Series DBMSKey-value store
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
Score15.00
Rank#39  Overall
#6  Document stores
Score0.04
Rank#374  Overall
#38  Time Series DBMS
Score20.74
Rank#32  Overall
#4  Key-value stores
Websiteimpala.apache.orgfirebase.google.com/­products/­realtime-databasewww.hawkular.orgwww.memcached.org
Technical documentationimpala.apache.org/­impala-docs.htmlfirebase.google.com/­docs/­databasewww.hawkular.org/­hawkular-metrics/­docs/­user-guidegithub.com/­memcached/­memcached/­wiki
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaGoogle infoacquired by Google 2014Community supported by Red HatDanga Interactive infooriginally developed by Brad Fitzpatrick for LiveJournal
Initial release2013201220142003
Current release4.1.0, June 20221.6.25, March 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2commercialOpen Source infoApache 2.0Open Source infoBSD license
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++JavaC
Server operating systemsLinuxhostedLinux
OS X
Windows
FreeBSD
Linux
OS X
Unix
Windows
Data schemeyesschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyesno
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.nonono
Secondary indexesyesyesnono
SQL infoSupport of SQLSQL-like DML and DDL statementsnonono
APIs and other access methodsJDBC
ODBC
Android
iOS
JavaScript API
RESTful HTTP API
HTTP RESTProprietary protocol
Supported programming languagesAll languages supporting JDBC/ODBCJava
JavaScript
Objective-C
Go
Java
Python
Ruby
.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reducelimited functionality with using 'rules'nono
TriggersnoCallbacks are triggered when data changesyes infovia Hawkular Alertingno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infobased on Cassandranone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorselectable replication factor infobased on Cassandranone infoRepcached, a Memcached patch, provides this functionallity
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Eventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyesnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesno
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 Kerberosyes, based on authentication and database rulesnoyes infousing SASL (Simple Authentication and Security Layer) protocol

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More resources
Apache ImpalaFirebase Realtime DatabaseHawkular MetricsMemcached
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