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DBMS > Impala vs. LeanXcale vs. Memcached

System Properties Comparison Impala vs. LeanXcale vs. Memcached

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Editorial information provided by DB-Engines
NameImpala  Xexclude from comparisonLeanXcale  Xexclude from comparisonMemcached  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopA highly scalable full ACID SQL database with fast NoSQL data ingestion and GIS capabilitiesIn-memory key-value store, originally intended for caching
Primary database modelRelational DBMSKey-value store
Relational DBMS
Key-value store
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score18.71
Rank#38  Overall
#23  Relational DBMS
Score0.23
Rank#283  Overall
#42  Key-value stores
#131  Relational DBMS
Score26.27
Rank#31  Overall
#4  Key-value stores
Websitewww.cloudera.com/­products/­open-source/­apache-hadoop/­impala.htmlwww.leanxcale.comwww.memcached.org
Technical documentationdocs.cloudera.com/­documentation/­enterprise/­latest/­topics/­impala.htmlgithub.com/­memcached/­memcached/­wiki
DeveloperClouderaLeanXcaleDanga Interactive infooriginally developed by Brad Fitzpatrick for LiveJournal
Initial release201320152003
Current release3.4.0, April 20201.6.9, November 2020
License infoCommercial or Open SourceOpen Source infoApache Version 2commercialOpen Source infoBSD license
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C
Server operating systemsLinuxFreeBSD
Linux
OS X
Unix
Windows
Data schemeyesyesschema-free
Typing infopredefined data types such as float or dateyesno
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.no
Secondary indexesyesno
SQL infoSupport of SQLSQL-like DML and DDL statementsyes infothrough Apache Derbyno
APIs and other access methodsJDBC
ODBC
JDBC
Kafka Connector
ODBC
proprietary key/value interface
Spark Connector
Proprietary protocol
Supported programming languagesAll languages supporting JDBC/ODBCC
Java
Scala
.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-reduceno
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factornone infoRepcached, a Memcached patch, provides this functionallity
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesno
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and Kerberosyes infousing SASL (Simple Authentication and Security Layer) protocol
More information provided by the system vendor
ImpalaLeanXcaleMemcached
Specific characteristicsFull ACID and full SQL operational database with analytical queries over operational...
» more
Competitive advantagesLinear scalability upto 100s of nodes (tested with 100 nodes and TPC-C).
» more
Typical application scenariosHybrid Transactional-Analytical Processing (HTAP) requiring an operational database...
» more
Key customersbanking/finance/fintech, telco, insurance, traveltech, M2M/IoT, retail
» more
Market metrics15 beta testers
» more
Licensing and pricing modelsannual fee covering license and support based on number of physical cores
» more

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
ImpalaLeanXcaleMemcached
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Recent citations in the news

Cloudera Boosts Hadoop App Development On Impala
10 November 2014, InformationWeek

Cloudera’s Impala brings Hadoop to SQL and BI
25 October 2012, ZDNet

Man Busts Out of Google, Rebuilds Top-Secret Query Machine
24 October 2012, Wired

Cloudera aims to bring real-time queries to Hadoop, big data
24 October 2012, ZDNet

Unravel Data Adds Native Support for Impala and Kafka
29 June 2017, insideBIGDATA

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22 June 2018, GlobeNewswire

Big Data in the Automotive Industry, 2018-2021 Report - Market Forecast to Reach $5 Billion
3 September 2018, PR Newswire

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Google Releases Memorystore for Memcached into General Availability
9 March 2021, InfoQ.com

Intel Powers New Amazon EC2 R6i Instance
23 November 2021, HPCwire

​Memcached DDoS: The biggest, baddest denial of service attacker yet
1 March 2018, ZDNet

Memcached DDoS Explained
25 August 2021, akamai.com

Google Cloud rolls out Memcached database caching – Blocks and Files
4 April 2020, Blocks and Files

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