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DBMS > Apache Drill vs. Apache Phoenix vs. Cloudflare Workers KV vs. GeoSpock

System Properties Comparison Apache Drill vs. Apache Phoenix vs. Cloudflare Workers KV vs. GeoSpock

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Editorial information provided by DB-Engines
NameApache Drill  Xexclude from comparisonApache Phoenix  Xexclude from comparisonCloudflare Workers KV  Xexclude from comparisonGeoSpock  Xexclude from comparison
GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.
DescriptionSchema-free SQL Query Engine for Hadoop, NoSQL and Cloud StorageA scale-out RDBMS with evolutionary schema built on Apache HBaseA global, low-latency, key-value store for applications on Cloudflare with exceptionally high read volumes and low-latency.Spatial and temporal data processing engine for extreme data scale
Primary database modelDocument store
Relational DBMS
Relational DBMSKey-value storeRelational DBMS
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.28
Rank#119  Overall
#23  Document stores
#56  Relational DBMS
Score2.02
Rank#130  Overall
#63  Relational DBMS
Score0.39
Rank#278  Overall
#39  Key-value stores
Websitedrill.apache.orgphoenix.apache.orgwww.cloudflare.com/­developer-platform/­workers-kvgeospock.com
Technical documentationdrill.apache.org/­docsphoenix.apache.orgdevelopers.cloudflare.com/­kv/­api
DeveloperApache Software FoundationApache Software FoundationCloudflareGeoSpock
Initial release201220142018
Current release1.20.3, January 20235.0-HBase2, July 2018 and 4.15-HBase1, December 20192.0, September 2019
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoApache Version 2.0commercialcommercial
Cloud-based only infoOnly available as a cloud servicenonoyesyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJava, Javascript
Server operating systemsLinux
OS X
Windows
Linux
Unix
Windows
hostedhosted
Data schemeschema-freeyes infolate-bound, schema-on-read capabilitiesschema-freeyes
Typing infopredefined data types such as float or dateyesyesnoyes
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.nononono
Secondary indexesnoyesnotemporal, categorical
SQL infoSupport of SQLSQL SELECT statement is SQL:2003 compliantyesnoANSI SQL for query only (using Presto)
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
JDBCHTTP REST
Proprietary protocol
JDBC
Supported programming languagesC++C
C#
C++
Go
Groovy
Java
PHP
Python
Scala
C
C++
Dart
JavaScript
Kotlin
Python
Rust
Scala
Server-side scripts infoStored proceduresuser defined functionsuser defined functionsnono
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingAutomatic sharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesHadoop integrationnono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate Consistency or Eventual ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentDepending on the underlying data sourceyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.Depending on the underlying data sourceyesnono
User concepts infoAccess controlDepending on the underlying data sourceAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancyAccess rights for users can be defined per table

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Apache DrillApache PhoenixCloudflare Workers KVGeoSpock
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