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DBMS > Apache IoTDB vs. FoundationDB vs. Milvus vs. OrigoDB

System Properties Comparison Apache IoTDB vs. FoundationDB vs. Milvus vs. OrigoDB

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Editorial information provided by DB-Engines
NameApache IoTDB  Xexclude from comparisonFoundationDB  Xexclude from comparisonMilvus  Xexclude from comparisonOrigoDB  Xexclude from comparison
Created as commercial project in 2013, FoundationDB has been acquired by Apple in March 2015 and was withdrawn from the market. As a consequence, the product was removed from the DB-Engines ranking. In April 2018, Apple open-sourced FoundationDB and it therefore reappears in the ranking.
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 FlinkOrdered key-value store. Core features are complimented by layers.A DBMS designed for efficient storage of vector data and vector similarity searchesA fully ACID in-memory object graph database
Primary database modelTime Series DBMSDocument store infosupported via specific layer
Key-value store
Relational DBMS infosupported via specific SQL-layer
Search engineDocument store
Object oriented DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.36
Rank#264  Overall
#21  Time Series DBMS
Score1.44
Rank#143  Overall
#24  Document stores
#27  Key-value stores
#70  Relational DBMS
Score0.37
Rank#262  Overall
#17  Search engines
Score0.00
Rank#356  Overall
#47  Document stores
#19  Object oriented DBMS
Websiteiotdb.apache.orgwww.foundationdb.orgmilvus.ioorigodb.com
Technical documentationapple.github.io/­foundationdbmilvus.io/­docs/­overview.mdorigodb.com/­docs
DeveloperApache Software FoundationFoundationDBRobert Friberg et al
Initial release2018201320192009 infounder the name LiveDB
Current release6.2.28, November 20202.0, January 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache 2.0Open Source infoApache Version 2.0Open Source
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++C++, GoC#
Server operating systemsAll OS with a Java VM (>= 1.8)Linux
OS X
Windows
Linux
macOS info10.14 or later
Windows infowith WSL 2 enabled
Linux
Windows
Data schemeyesschema-free infosome layers support schemasyes
Typing infopredefined data types such as float or dateyesno infosome layers support typingNumeric and StringUser defined using .NET types and collections
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 infocan be achieved using .NET
Secondary indexesyesnonoyes
SQL infoSupport of SQLSQL-like query languagesupported in specific SQL layer onlynono
APIs and other access methodsJDBC
Native API
RESTful HTTP API.NET Client API
HTTP API
LINQ
Supported programming languages.Net
C
C++
Go
Java
JavaScript infoNode.js
PHP
Python
Ruby
Swift
C++
Go
Java
JavaScript (Node.js)
Python
.Net
Server-side scripts infoStored proceduresyesin SQL-layer onlynoyes
Triggersyesnonoyes infoDomain Events
Partitioning methods infoMethods for storing different data on different nodesShardingShardinghorizontal partitioning infoclient side managed; servers are not synchronized
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsIntegration with Hadoop and Sparknonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Strong Consistency with Raft
Linearizable consistencyBounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
Foreign keys infoReferential integritynoin SQL-layer onlynodepending on model
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoWrite ahead log
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes
User concepts infoAccess controlyesnonoRole based authorization
More information provided by the system vendor
Apache IoTDBFoundationDBMilvusOrigoDB
Specific characteristicsApache IoTDB (Internet of Things Database) is a time series data management system...
» more
Milvus is an open-source and cloud-native vector database built for production-ready...
» more
Competitive advantagesLow Cost and High Performance Tens of million points write throughput High compression...
» more
Highly available, versatile, and robust with millisecond latency. Supports batch...
» more
Typical application scenariosIoT / IIoT End-Edge-Cloud Collaboration Real-Time and Historian Time Series Analytics
» more
Video media : video understanding, video deduplication. E-commerce and mobile applications...
» more
Key customersOver 200 customers worldwide, including Bosch, Siemens, Komat'su, Alibaba, etc.
» more
Milvus is trusted by over 1,000 enterprises, including Baidu, eBay, IKEA, LINE, Shopee,...
» more
Market metrics185+ contributors and 10,000+ times monthly clones on GitHub Rank 7 by commits among...
» more
As of March 2022, 9.8k+ GitHub stars 1.4k+ Github forks 871k+ docker pulls 2k+ community...
» more
Licensing and pricing modelsOpen Source: Apache License v2.0 Pricing for commercial-/cloud-/edge-edition provided...
» more
Milvus was released under the open-source Apache License 2.0 in October 2019. Managed...
» more

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More resources
Apache IoTDBFoundationDBMilvusOrigoDB
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