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DBMS > Cloudflare Workers KV vs. Solr vs. SurrealDB vs. YugabyteDB

System Properties Comparison Cloudflare Workers KV vs. Solr vs. SurrealDB vs. YugabyteDB

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Editorial information provided by DB-Engines
NameCloudflare Workers KV  Xexclude from comparisonSolr  Xexclude from comparisonSurrealDB  Xexclude from comparisonYugabyteDB  Xexclude from comparison
DescriptionA global, low-latency, key-value store for applications on Cloudflare with exceptionally high read volumes and low-latency.A widely used distributed, scalable search engine based on Apache LuceneA fully ACID transactional, developer-friendly, multi-model DBMSHigh-performance distributed SQL database for global, internet-scale applications. Wire and feature compatible with PostgreSQL.
Primary database modelKey-value storeSearch engineDocument store
Graph DBMS
Relational DBMS
Secondary database modelsSpatial DBMSDocument store
Wide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.39
Rank#274  Overall
#39  Key-value stores
Score41.02
Rank#24  Overall
#3  Search engines
Score1.02
Rank#190  Overall
#33  Document stores
#18  Graph DBMS
Score2.63
Rank#109  Overall
#53  Relational DBMS
Websitewww.cloudflare.com/­developer-platform/­workers-kvsolr.apache.orgsurrealdb.comwww.yugabyte.com
Technical documentationdevelopers.cloudflare.com/­kv/­apisolr.apache.org/­resources.htmlsurrealdb.com/­docsdocs.yugabyte.com
github.com/­yugabyte/­yugabyte-db
DeveloperCloudflareApache Software FoundationSurrealDB LtdYugabyte Inc.
Initial release2018200620222017
Current release9.6.1, May 2024v1.5.0, May 20242.19, September 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2Open SourceOpen Source infoApache 2.0
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.
YugabyteDB Managed is the fully managed database-as-a-service offering of YugabyteDB. Get started quickly, and effortlessly ensure continuous availability and limitless scale of your cloud native applications.
Implementation languageJavaRustC and C++
Server operating systemshostedAll OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)Linux
macOS
Windows
Linux
OS X
Data schemeschema-freeyes infoDynamic Fields enables on-the-fly addition of new fieldsschema-freedepending on used data model
Typing infopredefined data types such as float or datenoyes infosupports customizable data types and automatic typingyesyes
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.noyesno
Secondary indexesnoyes infoAll search fields are automatically indexedyes
SQL infoSupport of SQLnoSolr Parallel SQL InterfaceSQL-like query languageyes, PostgreSQL compatible
APIs and other access methodsHTTP REST
Proprietary protocol
Java API
RESTful HTTP/JSON API
GraphQL
RESTful HTTP API
WebSocket
JDBC
YCQL, an SQL-based flexible-schema API with its roots in Cassandra Query Language
YSQL - a fully relational SQL API that is wire compatible with the SQL language in PostgreSQL
Supported programming languagesC
C++
Dart
JavaScript
Kotlin
Python
Rust
Scala
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
Deno
Go
JavaScript (Node.js)
Rust
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Rust
Scala
Server-side scripts infoStored proceduresnoJava pluginsyes infosql, plpgsql, C
Triggersnoyes infoUser configurable commands triggered on index changesyes
Partitioning methods infoMethods for storing different data on different nodesShardingHash and Range Sharding, row-level geo-partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesBased on Raft distributed consensus protocol, minimum 3 replicas for continuous availability
MapReduce infoOffers an API for user-defined Map/Reduce methodsnospark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reducenono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual ConsistencyStrong consistency on writes and tunable consistency on reads
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanooptimistic lockingACIDDistributed ACID with Serializable & Snapshot Isolation. Inspired by Google Spanner architecture.
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infobased on RocksDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesno
User concepts infoAccess controlyesyes, based on authentication and database rulesyes
More information provided by the system vendor
Cloudflare Workers KVSolrSurrealDBYugabyteDB
Specific characteristicsYugabyteDB is an open source distributed SQL database for cloud native transactional...
» more
Competitive advantagesPostgreSQL compatible: Get instantly productive with a PostgreSQL compatible RDBMS....
» more
Typical application scenariosSystems of record and engagement for cloud native applications that require resilience,...
» more
Market metrics2 Million+ lifetime clusters deployed, 6.5K+ GitHub stars, 7K YugabyteDB Community...
» more
Licensing and pricing modelsApache 2.0 license for the database
» more

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Cloudflare Workers KVSolrSurrealDBYugabyteDB
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