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DBMS > Apache Impala vs. Datastax Enterprise vs. Memcached vs. TempoIQ

System Properties Comparison Apache Impala vs. Datastax Enterprise vs. Memcached vs. TempoIQ

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Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonDatastax Enterprise  Xexclude from comparisonMemcached  Xexclude from comparisonTempoIQ infoformerly TempoDB  Xexclude from comparison
TempoIQ seems to be decommissioned. It will be removed from the DB-Engines ranking.
DescriptionAnalytic DBMS for HadoopDataStax Enterprise (DSE) is the always-on, scalable data platform built on Apache Cassandra and designed for hybrid Cloud. DSE integrates graph, search, analytics, administration, developer tooling, and monitoring into a unified platform.In-memory key-value store, originally intended for cachingScalable analytics DBMS for sensor data, provided as a service (SaaS)
Primary database modelRelational DBMSWide column storeKey-value storeTime Series DBMS
Secondary database modelsDocument storeDocument store
Graph DBMS
Spatial DBMS
Search engine
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score10.63
Rank#40  Overall
#24  Relational DBMS
Score4.82
Rank#65  Overall
#4  Wide column stores
Score16.84
Rank#32  Overall
#4  Key-value stores
Websiteimpala.apache.orgwww.datastax.com/­products/­datastax-enterprisewww.memcached.orgtempoiq.com (offline)
Technical documentationimpala.apache.org/­impala-docs.htmldocs.datastax.comgithub.com/­memcached/­memcached/­wiki
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaDataStaxDanga Interactive infooriginally developed by Brad Fitzpatrick for LiveJournalTempoIQ
Initial release2013201120032012
Current release4.1.0, June 20226.8, April 20201.6.29, June 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2commercialOpen Source infoBSD licensecommercial
Cloud-based only infoOnly available as a cloud servicenononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
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Implementation languageC++JavaC
Server operating systemsLinuxLinux
OS X
FreeBSD
Linux
OS X
Unix
Windows
Data schemeyesschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesnoyes
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 indexesyesyesno
SQL infoSupport of SQLSQL-like DML and DDL statementsSQL-like DML and DDL statements (CQL); Spark SQLnono
APIs and other access methodsJDBC
ODBC
Proprietary protocol infoCQL (Cassandra Query Language)
TinkerPop Gremlin infowith DSE Graph
Proprietary protocolHTTP API
Supported programming languagesAll languages supporting JDBC/ODBCC
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
Perl
PHP
Python
Ruby
C#
Java
JavaScript infoNode.js
Python
Ruby
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reducenonono
Triggersnoyesnoyes infoRealtime Alerts
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infono "single point of failure"none
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorconfigurable replication factor, datacenter aware, advanced replication for edge computingnone infoRepcached, a Memcached patch, provides this functionallity
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReduceyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate Consistency
Tunable Consistency infoconsistency level can be individually decided with each write operation
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanono infoAtomicity and isolation are supported for single operationsnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesnoyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesno
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and KerberosAccess rights for users can be defined per objectyes infousing SASL (Simple Authentication and Security Layer) protocolsimple authentication-based access control
More information provided by the system vendor
Apache ImpalaDatastax EnterpriseMemcachedTempoIQ infoformerly TempoDB
Specific characteristicsDataStax Enterprise is scale-out data infrastructure for enterprises that need to...
» more
Competitive advantagesSupporting the following application requirements: Zero downtime - Built on Apache...
» more
Typical application scenariosApplications that must be massively and linearly scalable with 100% uptime and able...
» more
Key customersCapital One, Cisco, Comcast, eBay, McDonald's, Microsoft, Safeway, Sony, UBS, and...
» more
Market metricsAmong the Forbes 100 Most Innovative Companies, DataStax is trusted by 5 of the top...
» more
Licensing and pricing modelsAnnual subscription
» more

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More resources
Apache ImpalaDatastax EnterpriseMemcachedTempoIQ infoformerly TempoDB
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