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DBMS > Apache Druid vs. Cloudflare Workers KV vs. EventStoreDB vs. Firebolt

System Properties Comparison Apache Druid vs. Cloudflare Workers KV vs. EventStoreDB vs. Firebolt

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Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonCloudflare Workers KV  Xexclude from comparisonEventStoreDB  Xexclude from comparisonFirebolt  Xexclude from comparison
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataA global, low-latency, key-value store for applications on Cloudflare with exceptionally high read volumes and low-latency.Industrial-strength, open-source database solution built from the ground up for event sourcing.Highly scalable cloud data warehouse and analytics product infoForked from Clickhouse
Primary database modelRelational DBMS
Time Series DBMS
Key-value storeEvent StoreRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.34
Rank#88  Overall
#48  Relational DBMS
#7  Time Series DBMS
Score0.32
Rank#283  Overall
#40  Key-value stores
Score1.10
Rank#179  Overall
#1  Event Stores
Score1.90
Rank#134  Overall
#62  Relational DBMS
Websitedruid.apache.orgwww.cloudflare.com/­developer-platform/­workers-kvwww.eventstore.comwww.firebolt.io
Technical documentationdruid.apache.org/­docs/­latest/­designdevelopers.cloudflare.com/­kv/­apidevelopers.eventstore.comdocs.firebolt.io
DeveloperApache Software Foundation and contributorsCloudflareEvent Store LimitedFirebolt Analytics Inc.
Initial release2012201820122020
Current release29.0.1, April 202421.2, February 2021
License infoCommercial or Open SourceOpen Source infoApache license v2commercialOpen Sourcecommercial
Cloud-based only infoOnly available as a cloud servicenoyesnoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava
Server operating systemsLinux
OS X
Unix
hostedLinux
Windows
hosted
Data schemeyes infoschema-less columns are supportedschema-freeyes
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.nono
Secondary indexesyesnoyes
SQL infoSupport of SQLSQL for queryingnoyes
APIs and other access methodsJDBC
RESTful HTTP/JSON API
HTTP REST
Proprietary protocol
.Net
ODBC
RESTful HTTP API
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
C
C++
Dart
JavaScript
Kotlin
Python
Rust
Scala
Go
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnonono
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-based
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesyesdepending on storage layer
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanono
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and system

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More resources
Apache DruidCloudflare Workers KVEventStoreDBFirebolt
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