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DBMS > Cloudflare Workers KV vs. Graph Engine vs. GridDB vs. Microsoft Azure Synapse Analytics vs. Yaacomo

System Properties Comparison Cloudflare Workers KV vs. Graph Engine vs. GridDB vs. Microsoft Azure Synapse Analytics vs. Yaacomo

Editorial information provided by DB-Engines
NameCloudflare Workers KV  Xexclude from comparisonGraph Engine infoformer name: Trinity  Xexclude from comparisonGridDB  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonYaacomo  Xexclude from comparison
Yaacomo seems to be discontinued and is removed from the DB-Engines ranking
DescriptionA global, low-latency, key-value store for applications on Cloudflare with exceptionally high read volumes and low-latency.A distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engineScalable in-memory time series database optimized for IoT and Big DataElastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerOpenCL based in-memory RDBMS, designed for efficiently utilizing the hardware via parallel computing
Primary database modelKey-value storeGraph DBMS
Key-value store
Time Series DBMSRelational DBMSRelational DBMS
Secondary database modelsKey-value store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.39
Rank#274  Overall
#39  Key-value stores
Score0.67
Rank#232  Overall
#21  Graph DBMS
#34  Key-value stores
Score2.09
Rank#120  Overall
#10  Time Series DBMS
Score19.93
Rank#31  Overall
#19  Relational DBMS
Websitewww.cloudflare.com/­developer-platform/­workers-kvwww.graphengine.iogriddb.netazure.microsoft.com/­services/­synapse-analyticsyaacomo.com
Technical documentationdevelopers.cloudflare.com/­kv/­apiwww.graphengine.io/­docs/­manualdocs.griddb.netdocs.microsoft.com/­azure/­synapse-analytics
DeveloperCloudflareMicrosoftToshiba CorporationMicrosoftQ2WEB GmbH
Initial release20182010201320162009
Current release5.1, August 2022
License infoCommercial or Open SourcecommercialOpen Source infoMIT LicenseOpen Source infoAGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also availablecommercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesnonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation language.NET and CC++C++
Server operating systemshosted.NETLinuxhostedAndroid
Linux
Windows
Data schemeschema-freeyesyesyesyes
Typing infopredefined data types such as float or datenoyesyes infonumerical, string, blob, geometry, boolean, timestampyesyes
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 indexesnoyesyesyes
SQL infoSupport of SQLnonoSQL92, SQL-like TQL (Toshiba Query Language)yesyes
APIs and other access methodsHTTP REST
Proprietary protocol
RESTful HTTP APIJDBC
ODBC
Proprietary protocol
RESTful HTTP/JSON API
ADO.NET
JDBC
ODBC
JDBC
ODBC
Supported programming languagesC
C++
Dart
JavaScript
Kotlin
Python
Rust
Scala
C#
C++
F#
Visual Basic
C
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C#
Java
PHP
Server-side scripts infoStored proceduresnoyesnoTransact SQL
Triggersnonoyesnoyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningShardingSharding, horizontal partitioninghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replicationyesSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoConnector for using GridDB as an input source and output destination for Hadoop MapReduce jobsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate consistency within container, eventual consistency across containersImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononono infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACID at container levelACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesoptional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storageyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesyes
User concepts infoAccess controlAccess rights for users can be defined per databaseyesfine grained access rights according to SQL-standard
More information provided by the system vendor
Cloudflare Workers KVGraph Engine infoformer name: TrinityGridDBMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseYaacomo
Specific characteristicsGridDB is a highly scalable, in-memory time series database optimized for IoT and...
» more
Competitive advantages1. Optimized for IoT Equipped with Toshiba's proprietary key-container data model...
» more
Typical application scenariosFactory IoT, Automative Industry, Energy, BEMS, Smart Community, Monitoring system.
» more
Key customersDenso International [see use case ] An Electric Power company [see use case ] Ishinomaki...
» more
Market metricsGitHub trending repository
» more
Licensing and pricing modelsOpen Source license (AGPL v3 & Apache v2) Commercial license (subscription)
» more

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More resources
Cloudflare Workers KVGraph Engine infoformer name: TrinityGridDBMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseYaacomo
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