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DBMS > Alibaba Cloud Table Store vs. Cloudflare Workers KV vs. GridDB vs. Heroic vs. VictoriaMetrics

System Properties Comparison Alibaba Cloud Table Store vs. Cloudflare Workers KV vs. GridDB vs. Heroic vs. VictoriaMetrics

Editorial information provided by DB-Engines
NameAlibaba Cloud Table Store  Xexclude from comparisonCloudflare Workers KV  Xexclude from comparisonGridDB  Xexclude from comparisonHeroic  Xexclude from comparisonVictoriaMetrics  Xexclude from comparison
DescriptionA fully managed Wide Column Store for large quantities of semi-structured data with real-time accessA global, low-latency, key-value store for applications on Cloudflare with exceptionally high read volumes and low-latency.Scalable in-memory time series database optimized for IoT and Big DataTime Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchA fast, cost-effective and scalable Time Series DBMS and monitoring solution
Primary database modelWide column storeKey-value storeTime Series DBMSTime Series DBMSTime Series DBMS
Secondary database modelsKey-value store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.26
Rank#301  Overall
#12  Wide column stores
Score0.32
Rank#283  Overall
#40  Key-value stores
Score1.95
Rank#128  Overall
#10  Time Series DBMS
Score0.51
Rank#255  Overall
#21  Time Series DBMS
Score1.32
Rank#162  Overall
#14  Time Series DBMS
Websitewww.alibabacloud.com/­product/­table-storewww.cloudflare.com/­developer-platform/­workers-kvgriddb.netgithub.com/­spotify/­heroicvictoriametrics.com
Technical documentationwww.alibabacloud.com/­help/­en/­tablestoredevelopers.cloudflare.com/­kv/­apidocs.griddb.netspotify.github.io/­heroicdocs.victoriametrics.com
github.com/­VictoriaMetrics/­VictoriaMetrics/­wiki
DeveloperAlibabaCloudflareToshiba CorporationSpotifyVictoriaMetrics
Initial release20162018201320142018
Current release5.1, August 2022v1.91, May 2023
License infoCommercial or Open SourcecommercialcommercialOpen Source infoAGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also availableOpen Source infoApache 2.0Open Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud serviceyesyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++JavaGo
Server operating systemshostedhostedLinuxFreeBSD
Linux
macOS
OpenBSD
Data schemeschema-freeschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesnoyes infonumerical, string, blob, geometry, boolean, timestampyes
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 indexesnonoyesyes infovia Elasticsearch
SQL infoSupport of SQLnonoSQL92, SQL-like TQL (Toshiba Query Language)nono
APIs and other access methodsHTTP APIHTTP REST
Proprietary protocol
JDBC
ODBC
Proprietary protocol
RESTful HTTP/JSON API
HQL (Heroic Query Language, a JSON-based language)
HTTP API
Graphite protocol
InfluxDB Line Protocol
OpenTSDB
Prometheus Query API
Prometheus Remote Read/Write
Supported programming languagesJava
Python
C
C++
Dart
JavaScript
Kotlin
Python
Rust
Scala
C
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresnonononono
Triggersnonoyesnono
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud serviceShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud serviceyesSource-replica replicationyesSynchronous replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoConnector for using GridDB as an input source and output destination for Hadoop MapReduce jobsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate consistency within container, eventual consistency across containersEventual Consistency
Immediate Consistency
Eventual Consistency
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-row operationsnoACID at container levelnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesnono
User concepts infoAccess controlAccess rights based on subaccounts and tokensAccess rights for users can be defined per database
More information provided by the system vendor
Alibaba Cloud Table StoreCloudflare Workers KVGridDBHeroicVictoriaMetrics
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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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
Alibaba Cloud Table StoreCloudflare Workers KVGridDBHeroicVictoriaMetrics
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