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DBMS > Databricks vs. MySQL vs. SingleStore

System Properties Comparison Databricks vs. MySQL vs. SingleStore

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Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonMySQL  Xexclude from comparisonSingleStore infoformer name was MemSQL  Xexclude from comparison
DescriptionThe 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.Widely used open source RDBMSMySQL wire-compliant distributed RDBMS that combines an in-memory row-oriented and a disc-based column-oriented storage with patented universal storage to handle transactional and analytical workloads in one single table type
Primary database modelDocument store
Relational DBMS
Relational DBMS infoKey/Value like access via memcached APIRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
Document store
Spatial DBMS
Time Series DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score99.29
Rank#12  Overall
#2  Document stores
#8  Relational DBMS
Score987.11
Rank#2  Overall
#2  Relational DBMS
Score3.93
Rank#69  Overall
#37  Relational DBMS
Websitewww.databricks.comwww.mysql.comwww.singlestore.com
Technical documentationdocs.databricks.comdev.mysql.com/­docdocs.singlestore.com
DeveloperDatabricksOracle infosince 2010, originally MySQL AB, then SunSingleStore Inc.
Initial release201319952013
Current release9.0.0, July 20248.5, January 2024
License infoCommercial or Open SourcecommercialOpen Source infoGPL version 2. Commercial licenses with extended functionallity are availablecommercial infofree developer edition available
Cloud-based only infoOnly available as a cloud serviceyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC and C++C++, Go
Server operating systemshostedFreeBSD
Linux
OS X
Solaris
Windows
Linux info64 bit version required
Data schemeFlexible Schema (defined schema, partial schema, schema free)yesyes
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.yesyesno
Secondary indexesyesyesyes
SQL infoSupport of SQLwith Databricks SQLyes infowith proprietary extensionsyes infobut no triggers and foreign keys
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
ADO.NET
JDBC
ODBC
Proprietary native API
Cluster Management API infoas HTTP Rest and CLI
HTTP API
JDBC
MongoDB API
ODBC
Supported programming languagesPython
R
Scala
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Bash
C
C#
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresuser defined functions and aggregatesyes infoproprietary syntaxyes
Triggersyesno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning, sharding with MySQL Cluster or MySQL FabricSharding infohash partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication
Source-replica replication
Source-replica replication infostores two copies of each physical data partition on two separate nodes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono infocan define user-defined aggregate functions for map-reduce-style calculations
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infonot for MyISAM storage engineno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID infonot for MyISAM storage engineACID
Concurrency infoSupport for concurrent manipulation of datayesyes infotable locks or row locks depending on storage engineyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyesyes infoAll updates are persistent, including those to disk-based columnstores and memory-based row stores. Transaction commits are supported via write-ahead log.
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlUsers with fine-grained authorization concept infono user groups or rolesFine grained access control via users, groups and roles

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More resources
DatabricksMySQLSingleStore infoformer name was MemSQL
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Recent citations in the news

Databricks buys feature engineering startup Fennel to enhance AI model development
18 April 2025, SiliconANGLE

Palantir and Databricks Announce Strategic Product Partnership to Deliver Secure and Efficient AI to Customers
13 March 2025, PR Newswire

Databricks Just Dropped $250M in India--Here's Why It Could Redefine the Global AI Race
24 April 2025, Yahoo Finance

Block improves employee productivity and data access with Claude in Databricks
7 April 2025, Anthropic

Databricks to boost hiring, invest $250 million in India for AI expansion
24 April 2025, Reuters

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SingleStore Appoints Nadeem Asghar as Chief Technology Officer
17 April 2025, citybiz

SingleStore Acquires BryteFlow ​​to Accelerate Adoption of Real-Time Analytics, GenAI
3 October 2024, Business Wire

SingleStore acquires BryteFlow to boost data ingestion capabilities
3 October 2024, InfoWorld

Announcing watsonx.ai and SingleStore for generative AI applications
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SingleStore's BryteFlow acquisition targets data integration
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