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DBMS > Apache IoTDB vs. Sphinx vs. Transwarp ArgoDB

System Properties Comparison Apache IoTDB vs. Sphinx vs. Transwarp ArgoDB

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Editorial information provided by DB-Engines
NameApache IoTDB  Xexclude from comparisonSphinx  Xexclude from comparisonTranswarp ArgoDB  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 FlinkOpen source search engine for searching in data from different sources, e.g. relational databasesDistributed Analytical Database to replace Hadoop+MPP hybrid architecture
Primary database modelTime Series DBMSSearch engineRelational DBMS
Secondary database modelsSearch engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.18
Rank#173  Overall
#15  Time Series DBMS
Score5.98
Rank#56  Overall
#5  Search engines
Score0.07
Rank#350  Overall
#153  Relational DBMS
Websiteiotdb.apache.orgsphinxsearch.comwww.transwarp.cn/­en/­product/­argodb
Technical documentationiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmlsphinxsearch.com/­docsdocs.transwarp.cn/­#/­documents-support/­docs?category=ARGODB
DeveloperApache Software FoundationSphinx Technologies Inc.Transwarp
Initial release20182001
Current release1.1.0, April 20233.5.1, February 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoGPL version 2, commercial licence availablecommercial
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++
Server operating systemsAll OS with a Java VM (>= 1.8)FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeyesyesyes
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.no
Secondary indexesyesyes infofull-text index on all search fieldsyes
SQL infoSupport of SQLSQL-like query languageSQL-like query language (SphinxQL)yes
APIs and other access methodsJDBC
Native API
Proprietary protocol
Supported programming languagesC
C#
C++
Go
Java
Python
Scala
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresyesno
Triggersyesno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by time range) + vertical partitioning (by deviceId)Sharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication methods; using Raft/IoTConsensus algorithm to ensure strong/eventual data consistency among multiple replicasnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsIntegration with Hadoop and Sparkno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Strong Consistency with Raft
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanono
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyes 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.yes
User concepts infoAccess controlyesno

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Apache IoTDBSphinxTranswarp ArgoDB
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