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DBMS > Databricks vs. SurrealDB

System Properties Comparison Databricks vs. SurrealDB

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Editorial information provided by DB-Engines
NameDatabricks  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.A fully ACID transactional, developer-friendly, multi-model DBMS
Primary database modelDocument store
Relational DBMS
Document store
Graph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score83.29
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score1.04
Rank#180  Overall
#30  Document stores
#17  Graph DBMS
Websitewww.databricks.comsurrealdb.com
Technical documentationdocs.databricks.comsurrealdb.com/­docs
DeveloperDatabricksSurrealDB Ltd
Initial release20132022
Current releasev1.5.0, May 2024
License infoCommercial or Open SourcecommercialOpen Source
Cloud-based only infoOnly available as a cloud serviceyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageRust
Server operating systemshostedLinux
macOS
Windows
Data schemeFlexible Schema (defined schema, partial schema, schema free)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.yes
Secondary indexesyes
SQL infoSupport of SQLwith Databricks SQLSQL-like query language
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
GraphQL
RESTful HTTP API
WebSocket
Supported programming languagesPython
R
Scala
Deno
Go
JavaScript (Node.js)
Rust
Server-side scripts infoStored proceduresuser defined functions and aggregates
Replication methods infoMethods for redundantly storing data on multiple nodesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID
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.no
User concepts infoAccess controlyes, based on authentication and database rules
More information provided by the system vendor
DatabricksSurrealDB
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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More resources
DatabricksSurrealDB
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Recent citations in the news

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

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

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

Showdown at the Lakehouse: Databricks Muscles Up With Tabular
11 July 2024, The New Stack

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SurrealDB is helping developers consolidate their databases
18 June 2024, TechCrunch

SurrealDB Raises $20M To Disrupt Big Data Industry
20 June 2024, Datanami

Multi-model database startup SurrealDB raises $20M and announces cloud beta access
18 June 2024, SiliconANGLE News

SD Times Open-Source Project of the Week: SurrealDB
10 May 2024, SDTimes.com

SurrealDB Raises $20 Million to Disrupt Database Tech; Introduces New Cloud Beta Access
18 June 2024, PR Newswire

provided by Google News



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