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DBMS > Apache IoTDB vs. FoundationDB vs. Graph Engine vs. OrigoDB vs. SurrealDB

System Properties Comparison Apache IoTDB vs. FoundationDB vs. Graph Engine vs. OrigoDB vs. SurrealDB

Editorial information provided by DB-Engines
NameApache IoTDB  Xexclude from comparisonFoundationDB  Xexclude from comparisonGraph Engine infoformer name: Trinity  Xexclude from comparisonOrigoDB  Xexclude from comparisonSurrealDB  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Created as commercial project in 2013, FoundationDB has been acquired by Apple in March 2015 and was withdrawn from the market.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 distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engineA fully ACID in-memory object graph databaseA fully ACID transactional, developer-friendly, multi-model DBMS
Primary database modelTime Series DBMSDocument store infosupported via specific layer
Key-value store
Relational DBMS infosupported via specific SQL-layer
Graph DBMS
Key-value store
Document store
Object oriented DBMS
Document store
Graph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.18
Rank#173  Overall
#15  Time Series DBMS
Score1.03
Rank#190  Overall
#31  Document stores
#28  Key-value stores
#89  Relational DBMS
Score0.61
Rank#240  Overall
#21  Graph DBMS
#35  Key-value stores
Score0.00
Rank#383  Overall
#53  Document stores
#20  Object oriented DBMS
Score0.86
Rank#203  Overall
#34  Document stores
#18  Graph DBMS
Websiteiotdb.apache.orggithub.com/­apple/­foundationdbwww.graphengine.ioorigodb.comsurrealdb.com
Technical documentationiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmlapple.github.io/­foundationdbwww.graphengine.io/­docs/­manualorigodb.com/­docssurrealdb.com/­docs
DeveloperApache Software FoundationFoundationDBMicrosoftRobert Friberg et alSurrealDB Ltd
Initial release2018201320102009 infounder the name LiveDB2022
Current release1.1.0, April 20236.2.28, November 2020v1.5.0, May 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache 2.0Open Source infoMIT LicenseOpen SourceOpen Source
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++.NET and CC#Rust
Server operating systemsAll OS with a Java VM (>= 1.8)Linux
OS X
Windows
.NETLinux
Windows
Linux
macOS
Windows
Data schemeyesschema-free infosome layers support schemasyesyesschema-free
Typing infopredefined data types such as float or dateyesno infosome layers support typingyesUser defined using .NET types and collectionsyes
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 indexesyesnoyes
SQL infoSupport of SQLSQL-like query languagesupported in specific SQL layer onlynonoSQL-like query language
APIs and other access methodsJDBC
Native API
RESTful HTTP API.NET Client API
HTTP API
LINQ
GraphQL
RESTful HTTP API
WebSocket
Supported programming languagesC
C#
C++
Go
Java
Python
Scala
.Net
C
C++
Go
Java
JavaScript infoNode.js
PHP
Python
Ruby
Swift
C#
C++
F#
Visual Basic
.NetDeno
Go
JavaScript (Node.js)
Rust
Server-side scripts infoStored proceduresyesin SQL-layer onlyyesyes
Triggersyesnonoyes infoDomain Events
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by time range) + vertical partitioning (by deviceId)Shardinghorizontal partitioninghorizontal partitioning infoclient side managed; servers are not synchronized
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication methods; using Raft/IoTConsensus algorithm to ensure strong/eventual data consistency among multiple replicasyesSource-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 consistency
Foreign keys infoReferential integritynoin SQL-layer onlynodepending on model
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesoptional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storageyes infoWrite ahead logyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes
User concepts infoAccess controlyesnoRole based authorizationyes, based on authentication and database rules

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More resources
Apache IoTDBFoundationDBGraph Engine infoformer name: TrinityOrigoDBSurrealDB
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