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DBMS > Apache Druid vs. DolphinDB vs. Snowflake vs. YottaDB

System Properties Comparison Apache Druid vs. DolphinDB vs. Snowflake vs. YottaDB

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Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonDolphinDB  Xexclude from comparisonSnowflake  Xexclude from comparisonYottaDB  Xexclude from comparison
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataDolphinDB is a high performance Time Series DBMS. It is integrated with an easy-to-use fully featured programming language and a high-volume high-velocity streaming analytics system. It offers operational simplicity, scalability, fault tolerance, and concurrency.Cloud-based data warehousing service for structured and semi-structured dataA fast and solid embedded Key-value store
Primary database modelRelational DBMS
Time Series DBMS
Time Series DBMSRelational DBMSKey-value store
Secondary database modelsRelational DBMSRelational DBMS infousing the Octo plugin
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
Score4.03
Rank#78  Overall
#6  Time Series DBMS
Score130.36
Rank#8  Overall
#5  Relational DBMS
Score0.28
Rank#306  Overall
#44  Key-value stores
Websitedruid.apache.orgwww.dolphindb.comwww.snowflake.comyottadb.com
Technical documentationdruid.apache.org/­docs/­latest/­designdocs.dolphindb.cn/­en/­help200/­index.htmldocs.snowflake.net/­manuals/­index.htmlyottadb.com/­resources/­documentation
DeveloperApache Software Foundation and contributorsDolphinDB, IncSnowflake Computing Inc.YottaDB, LLC
Initial release2012201820142001
Current release29.0.1, April 2024v2.00.4, January 2022
License infoCommercial or Open SourceOpen Source infoApache license v2commercial infofree community version availablecommercialOpen Source infoAGPL 3.0
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++C
Server operating systemsLinux
OS X
Unix
Linux
Windows
hostedDocker
Linux
Data schemeyes infoschema-less columns are supportedyesyes infosupport of semi-structured data formats (JSON, XML, Avro)schema-free
Typing infopredefined data types such as float or dateyesyesyesno
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.nonoyesno
Secondary indexesyesyesno
SQL infoSupport of SQLSQL for queryingSQL-like query languageyesby using the Octo plugin
APIs and other access methodsJDBC
RESTful HTTP/JSON API
JDBC
JSON over HTTP
Kafka
MQTT (Message Queue Telemetry Transport)
ODBC
OPC DA
OPC UA
RabbitMQ
WebSocket
CLI Client
JDBC
ODBC
PostgreSQL wire protocol infousing the Octo plugin
Proprietary protocol
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
C#
C++
Go
Java
JavaScript
MatLab
Python
R
Rust
JavaScript (Node.js)
Python
C
Go
JavaScript (Node.js)
Lua
M
Perl
Python
Rust
Server-side scripts infoStored proceduresnoyesuser defined functions
Triggersnonono infosimilar concept for controling cloud resources
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedhorizontal partitioningyes
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesyesyesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
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 datanoyesACIDoptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesnoyes
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemAdministrators, Users, GroupsUsers with fine-grained authorization concept, user roles and pluggable authenticationUsers and groups based on OS-security mechanisms

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More resources
Apache DruidDolphinDBSnowflakeYottaDB
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