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DBMS > Blueflood vs. Cloudflare Workers KV vs. Databricks vs. Drizzle

System Properties Comparison Blueflood vs. Cloudflare Workers KV vs. Databricks vs. Drizzle

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Editorial information provided by DB-Engines
NameBlueflood  Xexclude from comparisonCloudflare Workers KV  Xexclude from comparisonDatabricks  Xexclude from comparisonDrizzle  Xexclude from comparison
Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.
DescriptionScalable TimeSeries DBMS based on CassandraA 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.MySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.
Primary database modelTime Series DBMSKey-value storeDocument store
Relational DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.13
Rank#346  Overall
#33  Time Series DBMS
Score0.39
Rank#274  Overall
#39  Key-value stores
Score81.08
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Websiteblueflood.iowww.cloudflare.com/­developer-platform/­workers-kvwww.databricks.com
Technical documentationgithub.com/­rax-maas/­blueflood/­wikidevelopers.cloudflare.com/­kv/­apidocs.databricks.com
DeveloperRackspaceCloudflareDatabricksDrizzle project, originally started by Brian Aker
Initial release2013201820132008
Current release7.2.4, September 2012
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialcommercialOpen Source infoGNU GPL
Cloud-based only infoOnly available as a cloud servicenoyesyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++
Server operating systemsLinux
OS X
hostedhostedFreeBSD
Linux
OS X
Data schemepredefined schemeschema-freeFlexible Schema (defined schema, partial schema, schema free)yes
Typing infopredefined data types such as float or dateyesnoyes
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.nonoyes
Secondary indexesnonoyesyes
SQL infoSupport of SQLnonowith Databricks SQLyes infowith proprietary extensions
APIs and other access methodsHTTP RESTHTTP REST
Proprietary protocol
JDBC
ODBC
RESTful HTTP API
JDBC
Supported programming languagesC
C++
Dart
JavaScript
Kotlin
Python
Rust
Scala
Python
R
Scala
C
C++
Java
PHP
Server-side scripts infoStored proceduresnonouser defined functions and aggregatesno
Triggersnonono infohooks for callbacks inside the server can be used.
Partitioning methods infoMethods for storing different data on different nodesSharding infobased on CassandraSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infobased on CassandrayesyesMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Eventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDACID
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 controlnoPluggable authentication mechanisms infoe.g. LDAP, HTTP
More information provided by the system vendor
BluefloodCloudflare Workers KVDatabricksDrizzle
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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BluefloodCloudflare Workers KVDatabricksDrizzle
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