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DBMS > Apache Impala vs. NCache vs. Netezza vs. Yaacomo

System Properties Comparison Apache Impala vs. NCache vs. Netezza vs. Yaacomo

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Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonNCache  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonYaacomo  Xexclude from comparison
Yaacomo seems to be discontinued and is removed from the DB-Engines ranking
DescriptionAnalytic DBMS for HadoopOpen-Source and Enterprise in-memory Key-Value StoreData warehouse and analytics appliance part of IBM PureSystemsOpenCL based in-memory RDBMS, designed for efficiently utilizing the hardware via parallel computing
Primary database modelRelational DBMSKey-value storeRelational DBMSRelational DBMS
Secondary database modelsDocument storeDocument store
Search engine infoUsing distributed Lucene
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score14.03
Rank#40  Overall
#24  Relational DBMS
Score0.98
Rank#196  Overall
#29  Key-value stores
Score10.18
Rank#46  Overall
#29  Relational DBMS
Websiteimpala.apache.orgwww.alachisoft.com/­ncachewww.ibm.com/­products/­netezzayaacomo.com
Technical documentationimpala.apache.org/­impala-docs.htmlwww.alachisoft.com/­resources/­docs
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaAlachisoftIBMQ2WEB GmbH
Initial release2013200520002009
Current release4.1.0, June 20225.3.3, April 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoEnterprise Edition availablecommercialcommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C#, .NET, .NET Core, Java
Server operating systemsLinuxLinux
Windows
Linux infoincluded in applianceAndroid
Linux
Windows
Data schemeyesschema-freeyesyes
Typing infopredefined data types such as float or dateyespartial infoSupported data types are Lists, Queues, Hashsets, Dictionary and Counteryesyes
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 indexesyesyesyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsSQL-like query syntax and LINQ for searching the cache. Cache Synchronization with SQL Server using SQL dependency.yesyes
APIs and other access methodsJDBC
ODBC
IDistributedCache
JCache
LINQ
Proprietary native API
JDBC
ODBC
OLE DB
JDBC
ODBC
Supported programming languagesAll languages supporting JDBC/ODBC.Net
.Net Core
C#
Java
JavaScript (Node.js)
Python
Scala
C
C++
Fortran
Java
Lua
Perl
Python
R
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceno infosupport for stored procedures with SQL-Server CLRyes
Triggersnoyes infoNotificationsnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingyesShardinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factoryes, with selectable consistency levelSource-replica replicationSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReduceyesyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual Consistency
Immediate Consistency
Strong Eventual Consistency over WAN with Conflict Resolution using Bridge Topology
Immediate Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanooptimistic locking and pessimistic lockingACIDACID
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.noyesyes
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and KerberosAuthentication to access the cache via Active Directory/LDAP (possible roles: user, administrator)Users with fine-grained authorization conceptfine grained access rights according to SQL-standard
More information provided by the system vendor
Apache ImpalaNCacheNetezza infoAlso called PureData System for Analytics by IBMYaacomo
Specific characteristicsNCache has been the market leader in .NET Distributed Caching since 2005 . NCache...
» more
Competitive advantagesNCache is 100% .NET/ .NET Core based which fully supports ASP.NET Core Sessions ,...
» more
Typical application scenariosNCache enables industries like retail, finance, banking IoT, travel, ecommerce, healthcare...
» more
Key customersBank of America, Citi, Natures Way, Charter Spectrum, Barclays, Henry Schein, GBM,...
» more
Market metricsMarket Leader in .NET Distributed Caching since 2005.
» more
Licensing and pricing modelsNCache Open Source is free on an as-is basis without any support. NCache Enterprise...
» more

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More resources
Apache ImpalaNCacheNetezza infoAlso called PureData System for Analytics by IBMYaacomo
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