DB-EnginesextremeDB - solve IoT connectivity disruptionsEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by Redgate Software

DBMS > Apache Doris vs. Databricks vs. ReductStore

System Properties Comparison Apache Doris vs. Databricks vs. ReductStore

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
NameApache Doris  Xexclude from comparisonDatabricks  Xexclude from comparisonReductStore  Xexclude from comparison
DescriptionAn MPP-based analytics DBMS embracing the MySQL protocolThe Databricks Lakehouse Platform combines elements of data lakes and data warehouses to provide a unified view onto structured and unstructured data. It is based on Apache Spark.Designed to manage unstructured time-series data efficiently, providing unique features such as storing time-stamped blobs with labels, customizable data retention policies, and a straightforward FIFO quota system.
Primary database modelRelational DBMSDocument store
Relational DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.50
Rank#255  Overall
#117  Relational DBMS
Score83.29
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score0.00
Rank#378  Overall
#40  Time Series DBMS
Websitedoris.apache.org
github.com/­apache/­doris
www.databricks.comgithub.com/­reductstore
www.reduct.store
Technical documentationgithub.com/­apache/­doris/­wikidocs.databricks.comwww.reduct.store/­docs
DeveloperApache Software Foundation, originally contributed from BaiduDatabricksReductStore LLC
Initial release201720132023
Current release1.2.2, February 20231.9, March 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Source infoBusiness Source License 1.1
Cloud-based only infoOnly available as a cloud servicenoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++, Rust
Server operating systemsLinuxhostedDocker
Linux
macOS
Windows
Data schemeyesFlexible Schema (defined schema, partial schema, schema free)
Typing infopredefined data types such as float or dateyes
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.noyes
Secondary indexesyesyes
SQL infoSupport of SQLyeswith Databricks SQL
APIs and other access methodsJDBC
MySQL client
JDBC
ODBC
RESTful HTTP API
HTTP API
Supported programming languagesJavaPython
R
Scala
C++
JavaScript (Node.js)
Python
Rust
Server-side scripts infoStored proceduresuser defined functionsuser defined functions and aggregates
Triggersno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlfine grained access rights according to SQL-standard
More information provided by the system vendor
Apache DorisDatabricksReductStore
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
» more

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
Apache DorisDatabricksReductStore
DB-Engines blog posts

PostgreSQL is the DBMS of the Year 2023
2 January 2024, Matthias Gelbmann, Paul Andlinger

show all

Recent citations in the news

Migrating from ClickHouse to Apache Doris: Boosting OLAP Performance
9 October 2023, hackernoon.com

How to Digest 15 Billion Logs Per Day and Keep Big Queries Within 1 Second
1 September 2023, KDnuggets

Apache Doris just 'graduated': Why care about this SQL data warehouse
24 June 2022, InfoWorld

Apache Doris Analytical Database Graduates from Apache Incubator
20 June 2022, Datanami

Snowflake Releases Polaris Catalog: Transforming Data Interoperability with Open Source Apache Iceberg Integration
4 June 2024, MarkTechPost

provided by Google News

Goldman Sachs Unit Invests in Plaid, Databricks Company Stakes
16 July 2024, PYMNTS.com

Goldman-Led Group Backs Databricks, Plaid Through NEA Vehicle
15 July 2024, Bloomberg

Databricks Highlights Data Ownership At Its Data And AI Summit 2024
15 July 2024, Forbes

Decoding the chess moves of Snowflake and Databricks
22 June 2024, SiliconANGLE News

Databricks Goes Serverless, Simplifying its Data Platform
14 June 2024, Datanami

provided by Google News



Share this page

Featured Products

RaimaDB logo

RaimaDB, embedded database for mission-critical applications. When performance, footprint and reliability matters.
Try RaimaDB for free.

Milvus logo

Vector database designed for GenAI, fully equipped for enterprise implementation.
Try Managed Milvus for Free

Neo4j logo

See for yourself how a graph database can make your life easier.
Use Neo4j online for free.

SingleStore logo

The database to transact, analyze and contextualize your data in real time.
Try it today.

Datastax Astra logo

Bring all your data to Generative AI applications with vector search enabled by the most scalable
vector database available.
Try for Free

Present your product here