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DBMS > Apache IoTDB vs. InfluxDB vs. SingleStore

System Properties Comparison Apache IoTDB vs. InfluxDB vs. SingleStore

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Editorial information provided by DB-Engines
NameApache IoTDB  Xexclude from comparisonInfluxDB  Xexclude from comparisonSingleStore infoformer name was MemSQL  Xexclude from comparison
DescriptionAn IoT native database with high performance for data management and analysis, deployable on the edge and the cloud and integrated with Hadoop, Spark and FlinkDBMS for storing time series, events and metricsMySQL wire-compliant distributed RDBMS that combines an in-memory row-oriented and a disc-based column-oriented storage with patented universal storage to handle transactional and analytical workloads in one single table type
Primary database modelTime Series DBMSTime Series DBMSRelational DBMS
Secondary database modelsSpatial DBMS infowith GEO packageDocument store
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.36
Rank#264  Overall
#21  Time Series DBMS
Score29.22
Rank#29  Overall
#1  Time Series DBMS
Score6.58
Rank#64  Overall
#36  Relational DBMS
Websiteiotdb.apache.orgwww.influxdata.com/­products/­influxdb-overviewwww.singlestore.com
Technical documentationdocs.influxdata.com/­influxdbdocs.singlestore.com
DeveloperApache Software FoundationSingleStore Inc.
Initial release201820132013
Current release2.0.8, August 20217.6, November 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoMIT-License; commercial enterprise version availablecommercial infofree developer edition available
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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SingleStore Managed Service: The world's fastest, modern cloud database for both operational (OLTP) and analytical (OLAP) workloads. Available instantly with multi-cloud and hybrid-cloud capabilities
Implementation languageJavaGoC++, Go
Server operating systemsAll OS with a Java VM (>= 1.8)Linux
OS X infothrough Homebrew
Linux info64 bit version required
Data schemeyesschema-freeyes
Typing infopredefined data types such as float or dateyesNumeric data and Stringsyes
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 indexesyesnoyes
SQL infoSupport of SQLSQL-like query languageSQL-like query languageyes infobut no triggers and foreign keys
APIs and other access methodsJDBC
Native API
HTTP API
JSON over UDP
Cluster Management API infoas HTTP Rest and CLI
HTTP API
JDBC
ODBC
Supported programming languages.Net
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Perl
PHP
Python
R
Ruby
Rust
Scala
Bash
C
C#
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresyesnoyes
Triggersyesnono
Partitioning methods infoMethods for storing different data on different nodesSharding infoin enterprise version onlySharding infohash partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infoin enterprise version onlySource-replica replication infostores two copies of each physical data partition on two separate nodes
MapReduce infoOffers an API for user-defined Map/Reduce methodsIntegration with Hadoop and Sparknono infocan define user-defined aggregate functions for map-reduce-style calculations
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Strong Consistency with Raft
Immediate Consistency
Foreign keys infoReferential integritynonono
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 infoAll updates are persistent, including those to disk-based columnstores and memory-based row stores. Transaction commits are supported via write-ahead log.
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infoDepending on used storage engineyes
User concepts infoAccess controlyessimple rights management via user accountsFine grained access control via users, groups and roles
More information provided by the system vendor
Apache IoTDBInfluxDBSingleStore infoformer name was MemSQL
Specific characteristicsApache IoTDB (Internet of Things Database) is a time series data management system...
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InfluxData is the creator of InfluxDB , the open source time series database. It...
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SingleStore offers a fully-managed , distributed, highly-scalable SQL database designed...
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Competitive advantagesLow Cost and High Performance Tens of million points write throughput High compression...
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Time to Value InfluxDB is available in all the popular languages and frameworks,...
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SingleStore’s competitive advantages include: Easy and Simplified Architecture with...
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Typical application scenariosIoT / IIoT End-Edge-Cloud Collaboration Real-Time and Historian Time Series Analytics
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IoT & Sensor Monitoring Developers are witnessing the instrumentation of every available...
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Driving Fast Analytics: SingleStore delivers the fastest and most scalable reporting...
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Key customersOver 200 customers worldwide, including Bosch, Siemens, Komat'su, Alibaba, etc.
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InfluxData has more than 1,300 paying customers, including customers include MuleSoft,...
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IEX Cloud : Improves Financial Data Distribution Speed 15x with Singlestore DB Comcast,...
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Market metrics185+ contributors and 10,000+ times monthly clones on GitHub Rank 7 by commits among...
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Fastest growing database to drive 23,500 GitHub stars Over 600,000 daily active instances
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Customers in various industries worldwide including US and International Industry...
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Licensing and pricing modelsOpen Source: Apache License v2.0 Pricing for commercial-/cloud-/edge-edition provided...
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Open source core with closed source clustering available either on-premise or on...
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F ree Tier and Enterprise Edition
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