DB-EnginesextremeDB - Data management wherever you need itEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by Redgate Software

DBMS > Apache Doris vs. Databricks vs. Geode

System Properties Comparison Apache Doris vs. Databricks vs. Geode

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
NameApache Doris  Xexclude from comparisonDatabricks  Xexclude from comparisonGeode  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.Geode is a distributed data container, pooling memory, CPU, network resources, and optionally local disk across multiple processes
Primary database modelRelational DBMSDocument store
Relational DBMS
Key-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.58
Rank#238  Overall
#111  Relational DBMS
Score85.60
Rank#14  Overall
#2  Document stores
#9  Relational DBMS
Score1.44
Rank#151  Overall
#26  Key-value stores
Websitedoris.apache.org
github.com/­apache/­doris
www.databricks.comgeode.apache.org
Technical documentationgithub.com/­apache/­doris/­wikidocs.databricks.comgeode.apache.org/­docs
DeveloperApache Software Foundation, originally contributed from BaiduDatabricksOriginally developed by Gemstone. They outsourced the project to Apache in 2015 but still deliver a commercial version as Gemfire.
Initial release201720132002
Current release1.2.2, February 20231.1, February 2017
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Source infoApache Version 2; commercial licenses available as Gemfire
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 languageJavaJava
Server operating systemsLinuxhostedAll OS with a Java VM infothe JDK (8 or later) is also required
Data schemeyesFlexible Schema (defined schema, partial schema, schema free)schema-free
Typing infopredefined data types such as float or dateyesyes
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.noyesno
Secondary indexesyesyesno
SQL infoSupport of SQLyeswith Databricks SQLSQL-like query language (OQL)
APIs and other access methodsJDBC
MySQL client
JDBC
ODBC
RESTful HTTP API
Java Client API
Memcached protocol
RESTful HTTP API
Supported programming languagesJavaPython
R
Scala
.Net
All JVM based languages
C++
Groovy
Java
Scala
Server-side scripts infoStored proceduresuser defined functionsuser defined functions and aggregatesuser defined functions
Triggersnoyes infoCache Event Listeners
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyesMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyes, on a single node
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.nonoyes
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights per client and object definable
More information provided by the system vendor
Apache DorisDatabricksGeode
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 DorisDatabricksGeode
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

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

Introducing Polaris Catalog: An Open Source Catalog for Apache Iceberg
3 June 2024, snowflake.com

CelerData release said to address data lakehouse limitations
15 March 2023, VentureBeat

Data Management News for the Week of August 2; Updates from Cloudera, Informatica, Snowflake & More
2 August 2024, Solutions Review

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

provided by Google News

ServiceNow Partners With Databricks to Deliver Zero Copy Integration That Supercharges Machine Learning and AI Capabilities
23 October 2024, Business Wire

Databricks lakehouse a secret weapon for WNBA's Fever
23 October 2024, TechTarget

Exclusive | Amazon, Databricks Strike Five-Year Deal Around AI Chips
15 October 2024, The Wall Street Journal

Databricks could launch IPO in two months but biding time despite investor pressure, CEO says
13 September 2024, ION Analytics

ServiceNow Partners With Databricks to Deliver Zero Copy Integration That Supercharges Machine Learning and AI Capabilities
23 October 2024, StockTitan

provided by Google News

Building Highly Scalable Spring Applications with In-memory Distributed Data Grids
16 January 2016, InfoQ.com

TIBCO Announces Acquisition of High-Performance In-Memory Data Platform SnappyData
7 March 2019, Financial IT

Spring Data and In-Memory Data Management in Action
24 December 2016, InfoQ.com

GitHub Security Lab a project to identify vulnerabilities in open source software
30 January 2021, Desde Linux

provided by Google News



Share this page

Featured Products

Milvus logo

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

RaimaDB logo

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

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

SingleStore logo

The data platform to build your intelligent applications.
Try it free.

Neo4j logo

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

Present your product here