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DBMS > Impala vs. InfluxDB vs. Riak TS vs. Sphinx vs. Splice Machine

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

Editorial information provided by DB-Engines
NameImpala  Xexclude from comparisonInfluxDB  Xexclude from comparisonRiak TS  Xexclude from comparisonSphinx  Xexclude from comparisonSplice Machine  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopDBMS for storing time series, events and metricsRiak TS is a distributed NoSQL database optimized for time series data and based on Riak KVOpen source search engine for searching in data from different sources, e.g. relational databasesOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark
Primary database modelRelational DBMSTime Series DBMSTime Series DBMSSearch engineRelational DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score15.80
Rank#37  Overall
#22  Relational DBMS
Score24.96
Rank#28  Overall
#1  Time Series DBMS
Score0.37
Rank#254  Overall
#18  Time Series DBMS
Score6.35
Rank#59  Overall
#7  Search engines
Score0.91
Rank#179  Overall
#90  Relational DBMS
Websitewww.cloudera.com/­products/­open-source/­apache-hadoop/­impala.htmlwww.influxdata.com/­products/­influxdb-overviewriak.com/­products/­riak-tssphinxsearch.comsplicemachine.com
Technical documentationdocs.cloudera.com/­documentation/­enterprise/­latest/­topics/­impala.htmldocs.influxdata.com/­influxdbsphinxsearch.com/­docsdoc.splicemachine.com
DeveloperClouderaBasho TechnologiesSphinx Technologies Inc.Splice Machine
Initial release20132013201520012014
Current release3.3.0, August 20192.0.2, November 20203.2.1, January 20202.0
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoMIT-License; commercial enterprise version availableOpen SourceOpen Source infoGPL version 2, commercial licence availableOpen Source infoAGPL 3.0, commercial license available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++GoErlangC++Java
Server operating systemsLinuxLinux
OS X infothrough Homebrew
Linux
OS X
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Linux
OS X
Solaris
Windows
Data schemeyesschema-freeschema-freeyesyes
Typing infopredefined data types such as float or dateyesNumeric data and Stringsnonoyes
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 indexesyesnorestrictedyes infofull-text index on all search fieldsyes
SQL infoSupport of SQLSQL-like DML and DDL statementsSQL-like query languagenoSQL-like query language (SphinxQL)yes
APIs and other access methodsJDBC
ODBC
HTTP API
JSON over UDP
HTTP API
Native Erlang Interface
Proprietary protocolJDBC
Native Spark Datasource
ODBC
Supported programming languagesAll languages supporting JDBC/ODBC.Net
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Perl
PHP
Python
R
Ruby
Rust
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++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reducenoJavaScript and Erlangnoyes infoJava
Triggersnonoyes infopre-commit hooks and post-commit hooksnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoin enterprise version onlyShardingSharding infoPartitioning is done manually, search queries against distributed index is supportedShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorselectable replication factor infoin enterprise version onlyselectable replication factornoneMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenoyesnoYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonono infolinks between datasets can be storednoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonononoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyesyesyes infoThe original contents of fields are not stored in the Sphinx index.yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infoDepending on used storage engineyes
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and Kerberossimple rights management via user accountsnonoAccess rights for users, groups and roles according to SQL-standard
More information provided by the system vendor
ImpalaInfluxDBRiak TSSphinxSplice Machine
Specific characteristicsInfluxData is the creator of InfluxDB , the open source time series database. It...
» more
THE ONLY SCALE-OUT SQL RDBMS WITH BUILT-IN MACHINE LEARNING For data-rich, real-time...
» more
Competitive advantagesTime to Value An end-to-end platform, InfluxData is ready to go on the cloud or via...
» more
Operational Workloads: Full ACID support with high performance at scale Multi-row...
» more
Typical application scenariosIoT & Sensor Monitoring Instrumentation of every available surface in the material...
» more
New AI/ML and IoT Applications Data Warehouse Offloads Application Modernization...
» more
Key customersInfluxData has over 630 paying customers, including IBM, PayPal, Siemens Tesla and...
» more
Market metricsFastest growing database to garnish 17,000 github stars Over 260,000 daily active...
» more
Licensing and pricing modelsOpen source core with closed source clustering available either on-premise or on...
» more
Kubernetes Community Edition: https://hub.helm.sh/charts/splicemachine/splice-helm...
» more
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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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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

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28 August 2018, ZDNet

Shark: Real-time queries and analytics for big data
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13 January 2014, GigaOM

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13 November 2020, Business Wire

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10 November 2020, Business Wire

Reasons to switch to the InfluxDB time-series database, explored
25 August 2020, TechHQ

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19 November 2020, ICOTodayMagazine

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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

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1 July 2019, Analytics India Magazine

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

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