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DBMS > Cloudflare Workers KV vs. Databricks vs. Trafodion vs. Transwarp StellarDB

System Properties Comparison Cloudflare Workers KV vs. Databricks vs. Trafodion vs. Transwarp StellarDB

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Editorial information provided by DB-Engines
NameCloudflare Workers KV  Xexclude from comparisonDatabricks  Xexclude from comparisonTrafodion  Xexclude from comparisonTranswarp StellarDB  Xexclude from comparison
Apache Trafodion has been retired in 2021. Therefore it is excluded from the DB-Engines Ranking.
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.Transactional SQL-on-Hadoop DBMSA distributed graph DBMS built for enterprise-level graph applications
Primary database modelKey-value storeDocument store
Relational DBMS
Relational DBMSGraph 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
Score0.07
Rank#371  Overall
#39  Graph DBMS
Websitewww.cloudflare.com/­developer-platform/­workers-kvwww.databricks.comtrafodion.apache.orgwww.transwarp.cn/­en/­product/­stellardb
Technical documentationdevelopers.cloudflare.com/­kv/­apidocs.databricks.comtrafodion.apache.org/­documentation.html
DeveloperCloudflareDatabricksApache Software Foundation, originally developed by HPTranswarp
Initial release201820132014
Current release2.3.0, February 2019
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud serviceyesyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++, Java
Server operating systemshostedhostedLinux
Data schemeschema-freeFlexible Schema (defined schema, partial schema, schema free)yes
Typing infopredefined data types such as float or datenoyes
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 indexesnoyesyes
SQL infoSupport of SQLnowith Databricks SQLyesSQL-like query language
APIs and other access methodsHTTP REST
Proprietary protocol
JDBC
ODBC
RESTful HTTP API
ADO.NET
JDBC
ODBC
OpenCypher
Supported programming languagesC
C++
Dart
JavaScript
Kotlin
Python
Rust
Scala
Python
R
Scala
All languages supporting JDBC/ODBC/ADO.Net
Server-side scripts infoStored proceduresnouser defined functions and aggregatesJava Stored Procedures
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesyes, via HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infovia user defined functions and HBase
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID
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.nonono
User concepts infoAccess controlfine grained access rights according to SQL-standardyes
More information provided by the system vendor
Cloudflare Workers KVDatabricksTrafodionTranswarp StellarDB
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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Cloudflare Workers KVDatabricksTrafodionTranswarp StellarDB
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