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DBMS > Cloudflare Workers KV vs. Heroic vs. Milvus vs. ScyllaDB

System Properties Comparison Cloudflare Workers KV vs. Heroic vs. Milvus vs. ScyllaDB

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Editorial information provided by DB-Engines
NameCloudflare Workers KV  Xexclude from comparisonHeroic  Xexclude from comparisonMilvus  Xexclude from comparisonScyllaDB  Xexclude from comparison
DescriptionA global, low-latency, key-value store for applications on Cloudflare with exceptionally high read volumes and low-latency.Time Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchA DBMS designed for efficient storage of vector data and vector similarity searchesCassandra and DynamoDB compatible wide column store
Primary database modelKey-value storeTime Series DBMSVector DBMSWide column store
Secondary database modelsKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.32
Rank#283  Overall
#40  Key-value stores
Score0.51
Rank#255  Overall
#21  Time Series DBMS
Score2.31
Rank#113  Overall
#3  Vector DBMS
Score4.75
Rank#68  Overall
#5  Wide column stores
Websitewww.cloudflare.com/­developer-platform/­workers-kvgithub.com/­spotify/­heroicmilvus.iowww.scylladb.com
Technical documentationdevelopers.cloudflare.com/­kv/­apispotify.github.io/­heroicmilvus.io/­docs/­overview.mddocs.scylladb.com
DeveloperCloudflareSpotifyScyllaDB
Initial release2018201420192015
Current release2.3.4, January 2024ScyllaDB Open Source 5.4.1, January 2024
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open Source infoApache Version 2.0Open Source infoOpen Source (AGPL), commercial license available
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Zilliz Cloud – Cloud-native service for MilvusScylla Cloud: Create real-time applications that run at global scale with Scylla Cloud, the industry’s most powerful NoSQL DBaaS
Implementation languageJavaC++, GoC++
Server operating systemshostedLinux
macOS info10.14 or later
Windows infowith WSL 2 enabled
Linux
Data schemeschema-freeschema-freeschema-free
Typing infopredefined data types such as float or datenoyesVector, Numeric and Stringyes
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 indexesnoyes infovia Elasticsearchnoyes infocluster global secondary indices
SQL infoSupport of SQLnononoSQL-like DML and DDL statements (CQL)
APIs and other access methodsHTTP REST
Proprietary protocol
HQL (Heroic Query Language, a JSON-based language)
HTTP API
RESTful HTTP APIProprietary protocol (CQL) infocompatible with CQL (Cassandra Query Language, an SQL-like language)
RESTful HTTP API (DynamoDB compatible)
Thrift
Supported programming languagesC
C++
Dart
JavaScript
Kotlin
Python
Rust
Scala
C++
Go
Java
JavaScript (Node.js)
Python
For CQL interface: C#, C++, Clojure, Erlang, Go, Haskell, Java, JavaScript, Node.js, Perl, PHP, Python, Ruby, Rust, Scala
For DynamoDB interface: .Net, ColdFusion, Erlang, Groovy, Java, JavaScript, Perl, PHP, Python, Ruby
Server-side scripts infoStored proceduresnononoyes, Lua
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesselectable replication factor infoRepresentation of geographical distribution of servers is possible
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual Consistency
Immediate Consistency
Bounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
Eventual Consistency
Tunable Consistency infocan be individually decided for each write operation
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononono infoAtomicity and isolation are supported for single operations
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesyes infoin-memory tables
User concepts infoAccess controlRole based access control and fine grained access rightsAccess rights for users can be defined per object
More information provided by the system vendor
Cloudflare Workers KVHeroicMilvusScyllaDB
Specific characteristicsMilvus is an open-source and cloud-native vector database built for production-ready...
» more
ScyllaDB is engineered to deliver predictable performance at scale. It’s adopted...
» more
Competitive advantagesHighly available, versatile, and robust with millisecond latency. Supports batch...
» more
Highly-performant (efficiently utilizes full resources of a node and network; millions...
» more
Typical application scenariosRAG: retrieval augmented generation Video media : video understanding, video deduplication....
» more
ScyllaDB is ideal for applications that require high throughput and low latency at...
» more
Key customersMilvus is trusted by thousands of enterprises, including PayPal, eBay, IKEA, LINE,...
» more
Discord, Epic Games, Expedia, Zillow, Comcast, Disney+ Hotstar, Samsung, ShareChat,...
» more
Market metricsAs of January 2024, 25k+ GitHub stars 10M+ downloads and installations​ ​ 3k+ enterprise...
» more
ScyllaDB typically offers ~75% total cost of ownership savings, with ~5X higher throughput...
» more
Licensing and pricing modelsMilvus was released under the open-source Apache License 2.0 in October 2019. Fully-managed...
» more
ScyllaDB Open Source - free open source software (AGPL) ScyllaDB Enterprise - subscription-based...
» more

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Cloudflare Workers KVHeroicMilvusScyllaDB
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