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DBMS > Apache IoTDB vs. Cloudflare Workers KV vs. Dgraph vs. Graph Engine vs. Microsoft Azure Synapse Analytics

System Properties Comparison Apache IoTDB vs. Cloudflare Workers KV vs. Dgraph vs. Graph Engine vs. Microsoft Azure Synapse Analytics

Editorial information provided by DB-Engines
NameApache IoTDB  Xexclude from comparisonCloudflare Workers KV  Xexclude from comparisonDgraph  Xexclude from comparisonGraph Engine infoformer name: Trinity  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  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 global, low-latency, key-value store for applications on Cloudflare with exceptionally high read volumes and low-latency.Distributed and scalable native Graph DBMSA distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engineElastic, large scale data warehouse service leveraging the broad eco-system of SQL Server
Primary database modelTime Series DBMSKey-value storeGraph DBMSGraph DBMS
Key-value store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.18
Rank#173  Overall
#15  Time Series DBMS
Score0.32
Rank#283  Overall
#40  Key-value stores
Score1.45
Rank#156  Overall
#15  Graph DBMS
Score0.61
Rank#240  Overall
#21  Graph DBMS
#35  Key-value stores
Score20.56
Rank#31  Overall
#19  Relational DBMS
Websiteiotdb.apache.orgwww.cloudflare.com/­developer-platform/­workers-kvdgraph.iowww.graphengine.ioazure.microsoft.com/­services/­synapse-analytics
Technical documentationiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmldevelopers.cloudflare.com/­kv/­apidgraph.io/­docswww.graphengine.io/­docs/­manualdocs.microsoft.com/­azure/­synapse-analytics
DeveloperApache Software FoundationCloudflareDgraph Labs, Inc.MicrosoftMicrosoft
Initial release20182018201620102016
Current release1.1.0, April 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Source infoApache 2.0Open Source infoMIT Licensecommercial
Cloud-based only infoOnly available as a cloud servicenoyesnonoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaGo.NET and CC++
Server operating systemsAll OS with a Java VM (>= 1.8)hostedLinux
OS X
Windows
.NEThosted
Data schemeyesschema-freeschema-freeyesyes
Typing infopredefined data types such as float or dateyesnoyesyesyes
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.nonononono
Secondary indexesyesnoyesyes
SQL infoSupport of SQLSQL-like query languagenononoyes
APIs and other access methodsJDBC
Native API
HTTP REST
Proprietary protocol
GraphQL query language
gRPC (using protocol buffers) API
HTTP API
RESTful HTTP APIADO.NET
JDBC
ODBC
Supported programming languagesC
C#
C++
Go
Java
Python
Scala
C
C++
Dart
JavaScript
Kotlin
Python
Rust
Scala
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C#
C++
F#
Visual Basic
C#
Java
PHP
Server-side scripts infoStored proceduresyesnonoyesTransact SQL
Triggersyesnononono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by time range) + vertical partitioning (by deviceId)yeshorizontal partitioningSharding, horizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication methods; using Raft/IoTConsensus algorithm to ensure strong/eventual data consistency among multiple replicasyesSynchronous replication via Raftyes
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
Eventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonononono infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraints
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesoptional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storageyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes
User concepts infoAccess controlyesno infoPlanned for future releasesyes

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More resources
Apache IoTDBCloudflare Workers KVDgraphGraph Engine infoformer name: TrinityMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse
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