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DBMS > Apache IoTDB vs. Elasticsearch vs. Sphinx

System Properties Comparison Apache IoTDB vs. Elasticsearch vs. Sphinx

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Editorial information provided by DB-Engines
NameApache IoTDB  Xexclude from comparisonElasticsearch  Xexclude from comparisonSphinx  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 FlinkA distributed, RESTful modern search and analytics engine based on Apache Lucene infoElasticsearch lets you perform and combine many types of searches such as structured, unstructured, geo, and metricOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelTime Series DBMSSearch engineSearch engine
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.69
Rank#240  Overall
#19  Time Series DBMS
Score144.93
Rank#8  Overall
#1  Search engines
Score6.74
Rank#61  Overall
#8  Search engines
Websiteiotdb.apache.orgwww.elastic.co/­elasticsearchsphinxsearch.com
Technical documentationwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmlsphinxsearch.com/­docs
DeveloperApache Software FoundationElasticSphinx Technologies Inc.
Initial release201820102001
Current release7.8.0, June 20203.4.1, July 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoElastic LicenseOpen Source infoGPL version 2, commercial licence available
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaC++
Server operating systemsAll OS with a Java VM (>= 1.8)All OS with a Java VMFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeyesschema-free infoFlexible type definitions. Once a type is defined, it is persistentyes
Typing infopredefined data types such as float or dateyesyesno
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 indexesyesyes infoAll search fields are automatically indexedyes infofull-text index on all search fields
SQL infoSupport of SQLSQL-like query languageSQL-like query languageSQL-like query language (SphinxQL)
APIs and other access methodsJDBC
Native API
Java API
RESTful HTTP/JSON API
Proprietary protocol
Supported programming languages.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresyesyesno
Triggersyesyes infoby using the 'percolation' featureno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsIntegration with Hadoop and SparkES-Hadoop Connectorno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Strong Consistency with Raft
Eventual Consistency infoSynchronous doc based replication. Get by ID may show delays up to 1 sec. Configurable write consistency: one, quorum, all
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonono
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes infoThe original contents of fields are not stored in the Sphinx index.
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesMemcached and Redis integration
User concepts infoAccess controlyesno
More information provided by the system vendor
Apache IoTDBElasticsearchSphinx
Specific characteristicsApache IoTDB (Internet of Things Database) is a time series data management system...
» more
Competitive advantagesLow Cost and High Performance Tens of million points write throughput High compression...
» more
Typical application scenariosIoT / IIoT End-Edge-Cloud Collaboration Real-Time and Historian Time Series Analytics
» more
Key customersOver 200 customers worldwide, including Bosch, Siemens, Komat'su, Alibaba, etc.
» more
Market metrics185+ contributors and 10,000+ times monthly clones on GitHub Rank 7 by commits among...
» more
Licensing and pricing modelsOpen Source: Apache License v2.0 Pricing for commercial-/cloud-/edge-edition provided...
» more

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More resources
Apache IoTDBElasticsearchSphinx
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Recent citations in the news

Apache IoTDB 1.0 Released As An "Internet of Things Database"
4 December 2022, Phoronix

Timecho, Founded by the Creators of Apache IoTDB, Raises Over US$10 Million First Fund for Open-Source Software R&D and Time-Series Database Solutions
29 June 2022, PR Newswire

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