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DBMS > Cloudflare Workers KV vs. Databricks vs. Google Cloud Datastore vs. Lovefield vs. SiteWhere

System Properties Comparison Cloudflare Workers KV vs. Databricks vs. Google Cloud Datastore vs. Lovefield vs. SiteWhere

Editorial information provided by DB-Engines
NameCloudflare Workers KV  Xexclude from comparisonDatabricks  Xexclude from comparisonGoogle Cloud Datastore  Xexclude from comparisonLovefield  Xexclude from comparisonSiteWhere  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.Automatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformEmbeddable relational database for web apps written in pure JavaScriptM2M integration platform for persisting/querying time series data
Primary database modelKey-value storeDocument store
Relational DBMS
Document storeRelational DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.39
Rank#274  Overall
#39  Key-value stores
Score81.08
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score4.36
Rank#72  Overall
#12  Document stores
Score0.33
Rank#286  Overall
#131  Relational DBMS
Score0.06
Rank#383  Overall
#43  Time Series DBMS
Websitewww.cloudflare.com/­developer-platform/­workers-kvwww.databricks.comcloud.google.com/­datastoregoogle.github.io/­lovefieldgithub.com/­sitewhere/­sitewhere
Technical documentationdevelopers.cloudflare.com/­kv/­apidocs.databricks.comcloud.google.com/­datastore/­docsgithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mdsitewhere1.sitewhere.io/­index.html
DeveloperCloudflareDatabricksGoogleGoogleSiteWhere
Initial release20182013200820142010
Current release2.1.12, February 2017
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source infoApache 2.0Open Source infoCommon Public Attribution License Version 1.0
Cloud-based only infoOnly available as a cloud serviceyesyesyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaScriptJava
Server operating systemshostedhostedhostedserver-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, SafariLinux
OS X
Windows
Data schemeschema-freeFlexible Schema (defined schema, partial schema, schema free)schema-freeyespredefined scheme
Typing infopredefined data types such as float or datenoyes, details hereyesyes
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.noyesnonono
Secondary indexesnoyesyesyesno
SQL infoSupport of SQLnowith Databricks SQLSQL-like query language (GQL)SQL-like query language infovia JavaScript builder patternno
APIs and other access methodsHTTP REST
Proprietary protocol
JDBC
ODBC
RESTful HTTP API
gRPC (using protocol buffers) API
RESTful HTTP/JSON API
HTTP REST
Supported programming languagesC
C++
Dart
JavaScript
Kotlin
Python
Rust
Scala
Python
R
Scala
.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
JavaScript
Server-side scripts infoStored proceduresnouser defined functions and aggregatesusing Google App Engineno
TriggersnoCallbacks using the Google Apps EngineUsing read-only observers
Partitioning methods infoMethods for storing different data on different nodesShardingnoneSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesMulti-source replication using Paxosnoneselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infousing Google Cloud Dataflownono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on type of query and configuration infoStrong Consistency is default for entity lookups and queries within an Entity Group (but can instead be made eventually consistent). Other queries are always eventual consistent.Immediate Consistency
Foreign keys infoReferential integritynoyes infovia ReferenceProperties or Ancestor pathsyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID infoSerializable Isolation within Transactions, Read Committed outside of TransactionsACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes, by using IndexedDB or the cloud service Firebase Realtime Databaseyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nononoyes infousing MemoryDBno
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)noUsers with fine-grained authorization concept
More information provided by the system vendor
Cloudflare Workers KVDatabricksGoogle Cloud DatastoreLovefieldSiteWhere
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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More resources
Cloudflare Workers KVDatabricksGoogle Cloud DatastoreLovefieldSiteWhere
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