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DBMS > Cloudflare Workers KV vs. Databricks vs. H2 vs. NCache

System Properties Comparison Cloudflare Workers KV vs. Databricks vs. H2 vs. NCache

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Editorial information provided by DB-Engines
NameCloudflare Workers KV  Xexclude from comparisonDatabricks  Xexclude from comparisonH2  Xexclude from comparisonNCache  Xexclude from comparison
DescriptionA global, low-latency, key-value store for applications on Cloudflare with exceptionally high read volumes and low-latency.The Databricks Lakehouse Platform combines elements of data lakes and data warehouses to provide a unified view onto structured and unstructured data. It is based on Apache Spark.Full-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.Open-Source and Enterprise in-memory Key-Value Store
Primary database modelKey-value storeDocument store
Relational DBMS
Relational DBMSKey-value store
Secondary database modelsSpatial DBMSDocument store
Search engine infoUsing distributed Lucene
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.32
Rank#283  Overall
#40  Key-value stores
Score78.61
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score8.13
Rank#49  Overall
#31  Relational DBMS
Score0.94
Rank#195  Overall
#29  Key-value stores
Websitewww.cloudflare.com/­developer-platform/­workers-kvwww.databricks.comwww.h2database.comwww.alachisoft.com/­ncache
Technical documentationdevelopers.cloudflare.com/­kv/­apidocs.databricks.comwww.h2database.com/­html/­main.htmlwww.alachisoft.com/­resources/­docs
DeveloperCloudflareDatabricksThomas MuellerAlachisoft
Initial release2018201320052005
Current release2.2.220, July 20235.3.3, April 2024
License infoCommercial or Open SourcecommercialcommercialOpen Source infodual-licence (Mozilla public license, Eclipse public license)Open Source infoEnterprise Edition available
Cloud-based only infoOnly available as a cloud serviceyesyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC#, .NET, .NET Core, Java
Server operating systemshostedhostedAll OS with a Java VMLinux
Windows
Data schemeschema-freeFlexible Schema (defined schema, partial schema, schema free)yesschema-free
Typing infopredefined data types such as float or datenoyespartial infoSupported data types are Lists, Queues, Hashsets, Dictionary and Counter
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.noyesnono
Secondary indexesnoyesyesyes
SQL infoSupport of SQLnowith Databricks SQLyesSQL-like query syntax and LINQ for searching the cache. Cache Synchronization with SQL Server using SQL dependency.
APIs and other access methodsHTTP REST
Proprietary protocol
JDBC
ODBC
RESTful HTTP API
JDBC
ODBC
IDistributedCache
JCache
LINQ
Proprietary native API
Supported programming languagesC
C++
Dart
JavaScript
Kotlin
Python
Rust
Scala
Python
R
Scala
Java.Net
.Net Core
C#
Java
JavaScript (Node.js)
Python
Scala
Server-side scripts infoStored proceduresnouser defined functions and aggregatesJava Stored Procedures and User-Defined Functionsno infosupport for stored procedures with SQL-Server CLR
Triggersnoyesyes infoNotifications
Partitioning methods infoMethods for storing different data on different nodesnoneyes
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesWith clustering: 2 database servers on different computers operate on identical copies of a databaseyes, with selectable consistency level
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Strong Eventual Consistency over WAN with Conflict Resolution using Bridge Topology
Foreign keys infoReferential integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDoptimistic locking and pessimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yes
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
User concepts infoAccess controlfine grained access rights according to SQL-standardAuthentication to access the cache via Active Directory/LDAP (possible roles: user, administrator)
More information provided by the system vendor
Cloudflare Workers KVDatabricksH2NCache
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
» more
NCache has been the market leader in .NET Distributed Caching since 2005 . NCache...
» more
Competitive advantagesNCache is 100% .NET/ .NET Core based which fully supports ASP.NET Core Sessions ,...
» more
Typical application scenariosNCache enables industries like retail, finance, banking IoT, travel, ecommerce, healthcare...
» more
Key customersBank of America, Citi, Natures Way, Charter Spectrum, Barclays, Henry Schein, GBM,...
» more
Market metricsMarket Leader in .NET Distributed Caching since 2005.
» more
Licensing and pricing modelsNCache Open Source is free on an as-is basis without any support. NCache Enterprise...
» more

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Cloudflare Workers KVDatabricksH2NCache
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