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DBMS > Databricks vs. mSQL vs. OrigoDB vs. SurrealDB

System Properties Comparison Databricks vs. mSQL vs. OrigoDB vs. SurrealDB

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Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonmSQL infoMini SQL  Xexclude from comparisonOrigoDB  Xexclude from comparisonSurrealDB  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.mSQL (Mini SQL) is a simple and lightweight RDBMSA fully ACID in-memory object graph databaseA fully ACID transactional, developer-friendly, multi-model DBMS
Primary database modelDocument store
Relational DBMS
Relational DBMSDocument store
Object oriented DBMS
Document store
Graph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score81.08
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score1.27
Rank#169  Overall
#76  Relational DBMS
Score0.06
Rank#380  Overall
#50  Document stores
#19  Object oriented DBMS
Score1.02
Rank#190  Overall
#33  Document stores
#18  Graph DBMS
Websitewww.databricks.comhughestech.com.au/­products/­msqlorigodb.comsurrealdb.com
Technical documentationdocs.databricks.comorigodb.com/­docssurrealdb.com/­docs
DeveloperDatabricksHughes TechnologiesRobert Friberg et alSurrealDB Ltd
Initial release201319942009 infounder the name LiveDB2022
Current release4.4, October 2021v1.5.0, May 2024
License infoCommercial or Open Sourcecommercialcommercial infofree licenses can be providedOpen SourceOpen Source
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCC#Rust
Server operating systemshostedAIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Linux
Windows
Linux
macOS
Windows
Data schemeFlexible Schema (defined schema, partial schema, schema free)yesyesschema-free
Typing infopredefined data types such as float or dateyesUser defined using .NET types and collectionsyes
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.yesnono infocan be achieved using .NET
Secondary indexesyesyesyes
SQL infoSupport of SQLwith Databricks SQLA subset of ANSI SQL is implemented infono subqueries, aggregate functions, views, foreign keys, triggersnoSQL-like query language
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
JDBC
ODBC
.NET Client API
HTTP API
LINQ
GraphQL
RESTful HTTP API
WebSocket
Supported programming languagesPython
R
Scala
C
C++
Delphi
Java
Perl
PHP
Tcl
.NetDeno
Go
JavaScript (Node.js)
Rust
Server-side scripts infoStored proceduresuser defined functions and aggregatesnoyes
Triggersnoyes infoDomain Events
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioning infoclient side managed; servers are not synchronized
Replication methods infoMethods for redundantly storing data on multiple nodesyesnoneSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistencynone
Foreign keys infoReferential integritynodepending on model
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesnoyesyes
Durability infoSupport for making data persistentyesyesyes infoWrite ahead logyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes
User concepts infoAccess controlnoRole based authorizationyes, based on authentication and database rules
More information provided by the system vendor
DatabricksmSQL infoMini SQLOrigoDBSurrealDB
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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More resources
DatabricksmSQL infoMini SQLOrigoDBSurrealDB
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