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DBMS > Apache Drill vs. Apache Druid vs. Cloudflare Workers KV vs. GridGain

System Properties Comparison Apache Drill vs. Apache Druid vs. Cloudflare Workers KV vs. GridGain

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Editorial information provided by DB-Engines
NameApache Drill  Xexclude from comparisonApache Druid  Xexclude from comparisonCloudflare Workers KV  Xexclude from comparisonGridGain  Xexclude from comparison
DescriptionSchema-free SQL Query Engine for Hadoop, NoSQL and Cloud StorageOpen-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.GridGain is an in-memory computing platform, built on Apache Ignite
Primary database modelDocument store
Relational DBMS
Relational DBMS
Time Series DBMS
Key-value storeColumnar
Key-value store
Object oriented DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.90
Rank#126  Overall
#23  Document stores
#60  Relational DBMS
Score2.85
Rank#96  Overall
#50  Relational DBMS
#6  Time Series DBMS
Score0.29
Rank#283  Overall
#40  Key-value stores
Score1.48
Rank#150  Overall
#1  Columnar
#26  Key-value stores
#2  Object oriented DBMS
#69  Relational DBMS
Websitedrill.apache.orgdruid.apache.orgwww.cloudflare.com/­developer-platform/­workers-kvwww.gridgain.com
Technical documentationdrill.apache.org/­docsdruid.apache.org/­docs/­latest/­designdevelopers.cloudflare.com/­kv/­apiwww.gridgain.com/­docs/­index.html
DeveloperApache Software FoundationApache Software Foundation and contributorsCloudflareGridGain Systems, Inc.
Initial release2012201220182007
Current release1.20.3, January 202330.0.0, June 2024GridGain 8.5.1
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoApache license v2commercialcommercial, open source
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJava, C++, .Net, Python, REST, SQL
Server operating systemsLinux
OS X
Windows
Linux
OS X
Unix
hostedLinux
OS X
Solaris
Windows
z/OS
Data schemeschema-freeyes infoschema-less columns are supportedschema-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.nononoyes
Secondary indexesnoyesnoyes
SQL infoSupport of SQLSQL SELECT statement is SQL:2003 compliantSQL for queryingnoANSI-99 for query and DML statements, subset of DDL
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
JDBC
RESTful HTTP/JSON API
HTTP REST
Proprietary protocol
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
Supported programming languagesC++Clojure
JavaScript
PHP
Python
R
Ruby
Scala
C
C++
Dart
JavaScript
Kotlin
Python
Rust
Scala
C#
C++
Java
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresuser defined functionsnonoyes (compute grid and cache interceptors can be used instead)
Triggersnononoyes (cache interceptors and events)
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infomanual/auto, time-basedSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesyesyes (replicated cache)
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonoyes (compute grid and hadoop accelerator)
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononoACID
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 sourcenonoyes
User concepts infoAccess controlDepending on the underlying data sourceRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemRole-based access control
Security Hooks for custom implementations

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More resources
Apache DrillApache DruidCloudflare Workers KVGridGain
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