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DBMS > Apache Druid vs. GridGain vs. Snowflake

System Properties Comparison Apache Druid vs. GridGain vs. Snowflake

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Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonGridGain  Xexclude from comparisonSnowflake  Xexclude from comparison
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataGridGain is an in-memory computing platform, built on Apache IgniteCloud-based data warehousing service for structured and semi-structured data
Primary database modelRelational DBMS
Time Series DBMS
Columnar
Key-value store
Object oriented DBMS
Relational DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.18
Rank#84  Overall
#45  Relational DBMS
#7  Time Series DBMS
Score1.33
Rank#154  Overall
#1  Columnar
#26  Key-value stores
#2  Object oriented DBMS
#70  Relational DBMS
Score172.01
Rank#6  Overall
#5  Relational DBMS
Websitedruid.apache.orgwww.gridgain.comwww.snowflake.com
Technical documentationdruid.apache.org/­docs/­latest/­designwww.gridgain.com/­docs/­index.htmldocs.snowflake.net/­manuals/­index.html
DeveloperApache Software Foundation and contributorsGridGain Systems, Inc.Snowflake Computing Inc.
Initial release201220072014
Current release30.0.0, June 2024GridGain 8.5.1
License infoCommercial or Open SourceOpen Source infoApache license v2commercial, open sourcecommercial
Cloud-based only infoOnly available as a cloud servicenonoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJava, C++, .Net, Python, REST, SQL
Server operating systemsLinux
OS X
Unix
Linux
OS X
Solaris
Windows
z/OS
hosted
Data schemeyes infoschema-less columns are supportedyesyes infosupport of semi-structured data formats (JSON, XML, Avro)
Typing infopredefined data types such as float or dateyesyesyes
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.noyesyes
Secondary indexesyesyes
SQL infoSupport of SQLSQL for queryingANSI-99 for query and DML statements, subset of DDLyes
APIs and other access methodsJDBC
RESTful HTTP/JSON API
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
CLI Client
JDBC
ODBC
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
C#
C++
Java
PHP
Python
Ruby
Scala
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnoyes (compute grid and cache interceptors can be used instead)user defined functions
Triggersnoyes (cache interceptors and events)no infosimilar concept for controling cloud resources
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedShardingyes
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesyes (replicated cache)yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes (compute grid and hadoop accelerator)no
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID
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.noyesno
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemRole-based access control
Security Hooks for custom implementations
Users with fine-grained authorization concept, user roles and pluggable authentication

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More resources
Apache DruidGridGainSnowflake
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