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DBMS > Apache IoTDB vs. Datomic vs. Graph Engine vs. Trino

System Properties Comparison Apache IoTDB vs. Datomic vs. Graph Engine vs. Trino

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Editorial information provided by DB-Engines
NameApache IoTDB  Xexclude from comparisonDatomic  Xexclude from comparisonGraph Engine infoformer name: Trinity  Xexclude from comparisonTrino  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 FlinkDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityA distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engineFast distributed SQL query engine for big data analytics. Forked from Presto and originally named PrestoSQL
Primary database modelTime Series DBMSRelational DBMSGraph DBMS
Key-value store
Relational DBMS
Secondary database modelsDocument store
Key-value store
Spatial DBMS
Search engine
Time Series DBMS
Wide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.31
Rank#159  Overall
#14  Time Series DBMS
Score1.55
Rank#144  Overall
#67  Relational DBMS
Score0.56
Rank#241  Overall
#21  Graph DBMS
#34  Key-value stores
Score5.28
Rank#61  Overall
#35  Relational DBMS
Websiteiotdb.apache.orgwww.datomic.comwww.graphengine.iotrino.io
Technical documentationiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmldocs.datomic.comwww.graphengine.io/­docs/­manualtrino.io/­broadcast
trino.io/­docs/­current
DeveloperApache Software FoundationCognitectMicrosoftTrino Software Foundation
Initial release2018201220102012 info2020 rebranded from PrestoSQL
Current release1.1.0, April 20231.0.7180, July 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercial infolimited edition freeOpen Source infoMIT LicenseOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJava, Clojure.NET and CJava
Server operating systemsAll OS with a Java VM (>= 1.8)All OS with a Java VM.NETLinux
macOS infofor devlopment
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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.nononono
Secondary indexesyesyesdepending on connected data-source
SQL infoSupport of SQLSQL-like query languagenonoyes
APIs and other access methodsJDBC
Native API
RESTful HTTP APIRESTful HTTP APIJDBC
RESTful HTTP API
Trino CLI
Supported programming languagesC
C#
C++
Go
Java
Python
Scala
Clojure
Java
C#
C++
F#
Visual Basic
Go
Java
JavaScript (Node.js)
Python
R
Ruby
Server-side scripts infoStored proceduresyesyes infoTransaction Functionsyesyes, depending on connected data-source
TriggersyesBy using transaction functionsnono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by time range) + vertical partitioning (by deviceId)none infoBut extensive use of caching in the application peershorizontal partitioningdepending on connected data-source
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 infoBut extensive use of caching in the application peersdepending on connected data-source
MapReduce infoOffers an API for user-defined Map/Reduce methodsIntegration with Hadoop and Sparknono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Strong Consistency with Raft
Immediate Consistencydepending on connected data-source
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnodepending on connected data-source
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)optional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storagedepending on connected data-source
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes inforecommended only for testing and developmentyes
User concepts infoAccess controlyesnoSQL standard access control
More information provided by the system vendor
Apache IoTDBDatomicGraph Engine infoformer name: TrinityTrino
News

23 is a go, keeping pace with Java
17 September 2024

65: Performance boosts
12 September 2024

64: Control with Open Policy Agent OPA
22 August 2024

63: Querying with JS
1 August 2024

62: A lakehouse that simply works at Prezi
11 July 2024

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Apache IoTDBDatomicGraph Engine infoformer name: TrinityTrino
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