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DBMS > Apache Impala vs. NCache vs. Riak TS vs. TerarkDB

System Properties Comparison Apache Impala vs. NCache vs. Riak TS vs. TerarkDB

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Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonNCache  Xexclude from comparisonRiak TS  Xexclude from comparisonTerarkDB  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopOpen-Source and Enterprise in-memory Key-Value StoreRiak TS is a distributed NoSQL database optimized for time series data and based on Riak KVA key-value store forked from RocksDB with advanced compression algorithms. It can be used standalone or as a storage engine for MySQL and MongoDB
Primary database modelRelational DBMSKey-value storeTime Series DBMSKey-value store
Secondary database modelsDocument storeDocument store
Search engine infoUsing distributed Lucene
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score13.77
Rank#40  Overall
#24  Relational DBMS
Score0.94
Rank#195  Overall
#29  Key-value stores
Score0.20
Rank#319  Overall
#27  Time Series DBMS
Score0.00
Rank#383  Overall
#60  Key-value stores
Websiteimpala.apache.orgwww.alachisoft.com/­ncachegithub.com/­bytedance/­terarkdb
Technical documentationimpala.apache.org/­impala-docs.htmlwww.alachisoft.com/­resources/­docswww.tiot.jp/­riak-docs/­riak/­ts/­latestbytedance.larkoffice.com/­docs/­doccnZmYFqHBm06BbvYgjsHHcKc
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaAlachisoftOpen Source, formerly Basho TechnologiesByteDance, originally Terark
Initial release2013200520152016
Current release4.1.0, June 20225.3.3, April 20243.0.0, September 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoEnterprise Edition availableOpen Sourcecommercial inforestricted open source version available
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, JavaErlangC++
Server operating systemsLinuxLinux
Windows
Linux
OS X
Data schemeyesschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyespartial infoSupported data types are Lists, Queues, Hashsets, Dictionary and Counternono
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.nononono
Secondary indexesyesyesrestrictedno
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.yes, limitedno
APIs and other access methodsJDBC
ODBC
IDistributedCache
JCache
LINQ
Proprietary native API
HTTP API
Native Erlang Interface
C++ API
Java API
Supported programming languagesAll languages supporting JDBC/ODBC.Net
.Net Core
C#
Java
JavaScript (Node.js)
Python
Scala
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
C++
Java
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceno infosupport for stored procedures with SQL-Server CLRErlangno
Triggersnoyes infoNotificationsyes infopre-commit hooks and post-commit hooksno
Partitioning methods infoMethods for storing different data on different nodesShardingyesShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factoryes, with selectable consistency levelselectable replication factornone
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
Eventual Consistency
Foreign keys infoReferential integritynonono infolinks between datasets can be storedno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanooptimistic locking and pessimistic lockingnono
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)nono
More information provided by the system vendor
Apache ImpalaNCacheRiak TSTerarkDB
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 ImpalaNCacheRiak TSTerarkDB
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