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

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

Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonCloudflare Workers KV  Xexclude from comparisonEventStoreDB  Xexclude from comparisonFirebolt  Xexclude from comparisonTeradata  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 ClickhouseA hybrid cloud data analytics software platform (Teradata Vantage)
Primary database modelRelational DBMS
Time Series DBMS
Key-value storeEvent StoreRelational DBMSRelational DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.25
Rank#90  Overall
#47  Relational DBMS
#7  Time Series DBMS
Score0.39
Rank#274  Overall
#39  Key-value stores
Score1.19
Rank#173  Overall
#1  Event Stores
Score1.73
Rank#140  Overall
#63  Relational DBMS
Score44.87
Rank#22  Overall
#15  Relational DBMS
Websitedruid.apache.orgwww.cloudflare.com/­developer-platform/­workers-kvwww.eventstore.comwww.firebolt.iowww.teradata.com
Technical documentationdruid.apache.org/­docs/­latest/­designdevelopers.cloudflare.com/­kv/­apidevelopers.eventstore.comdocs.firebolt.iodocs.teradata.com
DeveloperApache Software Foundation and contributorsCloudflareEvent Store LimitedFirebolt Analytics Inc.Teradata
Initial release20122018201220201984
Current release29.0.1, April 202421.2, February 2021Teradata Vantage 1.0 MU2, January 2019
License infoCommercial or Open SourceOpen Source infoApache license v2commercialOpen Sourcecommercialcommercial
Cloud-based only infoOnly available as a cloud servicenoyesnoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava
Server operating systemsLinux
OS X
Unix
hostedLinux
Windows
hostedhosted
Linux
Data schemeyes infoschema-less columns are supportedschema-freeyesyes
Typing infopredefined data types such as float or dateyesnoyesyes
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 indexesyesnoyesyes infoJoin-index to prejoin tables, aggregate index, sparse index, hash index
SQL infoSupport of SQLSQL for queryingnoyesyes infoSQL 2016 + extensions
APIs and other access methodsJDBC
RESTful HTTP/JSON API
HTTP REST
Proprietary protocol
.Net
ODBC
RESTful HTTP API
.NET Client API
HTTP REST
JDBC
JMS Adapter
ODBC
OLE DB
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
C
C++
Dart
JavaScript
Kotlin
Python
Rust
Scala
Go
JavaScript (Node.js)
Python
C
C++
Cobol
Java (JDBC-ODBC)
Perl
PL/1
Python
R
Ruby
Server-side scripts infoStored proceduresnononoyes infoUDFs, stored procedures, table functions in parallel
Triggersnononoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedSharding infoHashing
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesyesdepending on storage layerMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemfine grained access rights according to SQL-standard

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More resources
Apache DruidCloudflare Workers KVEventStoreDBFireboltTeradata
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