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DBMS > Impala vs. Riak TS vs. Splice Machine

System Properties Comparison Impala vs. Riak TS vs. Splice Machine

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Editorial information provided by DB-Engines
NameImpala  Xexclude from comparisonRiak TS  Xexclude from comparisonSplice Machine  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopRiak TS is a distributed NoSQL database optimized for time series data and based on Riak KVOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark
Primary database modelRelational DBMSTime Series DBMSRelational DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score15.66
Rank#37  Overall
#22  Relational DBMS
Score0.38
Rank#250  Overall
#18  Time Series DBMS
Score0.79
Rank#190  Overall
#93  Relational DBMS
Websitewww.cloudera.com/­products/­open-source/­apache-hadoop/­impala.htmlriak.com/­products/­riak-tssplicemachine.com
Technical documentationdocs.cloudera.com/­documentation/­enterprise/­latest/­topics/­impala.htmldoc.splicemachine.com
DeveloperClouderaBasho TechnologiesSplice Machine
Initial release201320152014
Current release3.3.0, August 20192.0
License infoCommercial or Open SourceOpen Source infoApache Version 2Open SourceOpen Source infoAGPL 3.0, commercial license available
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++ErlangJava
Server operating systemsLinuxLinux
OS X
Linux
OS X
Solaris
Windows
Data schemeyesschema-freeyes
Typing infopredefined data types such as float or dateyesnoyes
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.nono
Secondary indexesyesrestrictedyes
SQL infoSupport of SQLSQL-like DML and DDL statementsnoyes
APIs and other access methodsJDBC
ODBC
HTTP API
Native Erlang Interface
JDBC
Native Spark Datasource
ODBC
Supported programming languagesAll languages supporting JDBC/ODBCC 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#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceJavaScript and Erlangyes infoJava
Triggersnoyes infopre-commit hooks and post-commit hooksyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorselectable replication factorMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReduceyesYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynono infolinks between datasets can be storedyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyesyes
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 KerberosnoAccess rights for users, groups and roles according to SQL-standard
More information provided by the system vendor
ImpalaRiak TSSplice Machine
Specific characteristicsTHE ONLY SCALE-OUT SQL RDBMS WITH BUILT-IN MACHINE LEARNING For data-rich, real-time...
» more
Competitive advantagesOperational Workloads: Full ACID support with high performance at scale Multi-row...
» more
Typical application scenariosNew AI/ML and IoT Applications Data Warehouse Offloads Application Modernization...
» more
Licensing and pricing modelsKubernetes Community Edition: https://hub.helm.sh/charts/splicemachine/splice-helm...
» more
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10 March 2020

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4 March 2020

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22 January 2020

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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
ImpalaRiak TSSplice Machine
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

Cloudera's a data warehouse player now
28 August 2018, ZDNet

Shark: Real-time queries and analytics for big data
26 November 2012, O'Reilly Radar

Cloudera says Impala is faster than Hive, which isn't saying much
13 January 2014, GigaOM

provided by Google News

Basho open-sources its Riak TS database for the Internet Of Things
5 May 2016, TechCrunch

Riak TS is designed to maximize uptime
29 September 2016, Opensource.com

Is Riak A Good NoSQL Database Option For Enterprises?
1 July 2019, Analytics India Magazine

Ingesting MQTT Traffic into Riak TS via RabbitMQ and StreamSets
5 September 2016, DZone News

Video games infrastructure evolves to meet gamers' demands
11 May 2016, ITProPortal

provided by Google News

Splice Machine Announces the Launch of 'ML Minutes' - a Short-Form Podcast That Highlights Advances in Machine Learning
15 October 2020, PRNewswire

Are you a big data laggard? Here's how to catch up
16 October 2020, TechRepublic

Splice Machine Announces 3.0 Version of its Intelligent, Distributed SQL Data Platform, Available in Q1 2020
15 January 2020, PRNewswire

Global Big Data in Internet of Things Markets, 2020-2025: Focus on IoT Data Management, Analytics, and Decision Making - ResearchAndMarkets.com
29 October 2020, Business Wire

Splice Machine Data Platform 3.0 Supports Kubernetes Managed Service and New ML Manager
2 March 2020, InfoQ.com

provided by Google News

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