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DBMS > Cloudflare Workers KV vs. Heroic vs. Spark SQL vs. Sphinx vs. YDB

System Properties Comparison Cloudflare Workers KV vs. Heroic vs. Spark SQL vs. Sphinx vs. YDB

Editorial information provided by DB-Engines
NameCloudflare Workers KV  Xexclude from comparisonHeroic  Xexclude from comparisonSpark SQL  Xexclude from comparisonSphinx  Xexclude from comparisonYDB  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 ElasticSearchSpark SQL is a component on top of 'Spark Core' for structured data processingOpen source search engine for searching in data from different sources, e.g. relational databasesA distributed fault-tolerant database service, with high availability, scalability, immediate consistency and ACID transactions and providing an Amazon DynamoDB compatible API
Primary database modelKey-value storeTime Series DBMSRelational DBMSSearch engineDocument 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
Score0.46
Rank#265  Overall
#22  Time Series DBMS
Score18.04
Rank#33  Overall
#20  Relational DBMS
Score5.95
Rank#55  Overall
#5  Search engines
Score0.33
Rank#287  Overall
#43  Document stores
#132  Relational DBMS
Websitewww.cloudflare.com/­developer-platform/­workers-kvgithub.com/­spotify/­heroicspark.apache.org/­sqlsphinxsearch.comgithub.com/­ydb-platform/­ydb
ydb.tech
Technical documentationdevelopers.cloudflare.com/­kv/­apispotify.github.io/­heroicspark.apache.org/­docs/­latest/­sql-programming-guide.htmlsphinxsearch.com/­docsydb.tech/­en/­docs
DeveloperCloudflareSpotifyApache Software FoundationSphinx Technologies Inc.Yandex
Initial release20182014201420012019
Current release3.5.0 ( 2.13), September 20233.5.1, February 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open Source infoApache 2.0Open Source infoGPL version 2, commercial licence availableOpen Source infoApache 2.0; commercial license available
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaScalaC++
Server operating systemshostedLinux
OS X
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Linux
Data schemeschema-freeschema-freeyesyesFlexible Schema (defined schema, partial schema, schema free)
Typing infopredefined data types such as float or datenoyesyesnoyes
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 infofull-text index on all search fieldsyes
SQL infoSupport of SQLnonoSQL-like DML and DDL statementsSQL-like query language (SphinxQL)SQL-like query language (YQL)
APIs and other access methodsHTTP REST
Proprietary protocol
HQL (Heroic Query Language, a JSON-based language)
HTTP API
JDBC
ODBC
Proprietary protocolRESTful HTTP API (DynamoDB compatible)
Supported programming languagesC
C++
Dart
JavaScript
Kotlin
Python
Rust
Scala
Java
Python
R
Scala
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Go
Java
JavaScript (Node.js)
PHP
Python
Server-side scripts infoStored proceduresnonononono
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesShardingyes, utilizing Spark CoreSharding infoPartitioning is done manually, search queries against distributed index is supportedSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesnonenoneActive-passive shard replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonononoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoThe original contents of fields are not stored in the Sphinx index.yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nononono
User concepts infoAccess controlnonoAccess rights defined for Yandex Cloud users

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More resources
Cloudflare Workers KVHeroicSpark SQLSphinxYDB
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