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DBMS > Databricks vs. Rockset vs. TDSQL for MySQL

System Properties Comparison Databricks vs. Rockset vs. TDSQL for MySQL

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Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonRockset  Xexclude from comparisonTDSQL for MySQL  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 scalable, reliable search and analytics service in the cloud, built on RocksDBA high-performance distributed database management system with features such as automatic sharding, intelligent operation and maintenance, elastic scalability without downtime, and enterprise-grade security. It is highly compatible with MySQL.
Primary database modelDocument store
Relational DBMS
Document storeRelational DBMS
Secondary database modelsRelational DBMS
Search engine
Document store
Spatial 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
Score0.82
Rank#212  Overall
#36  Document stores
Score0.85
Rank#207  Overall
#97  Relational DBMS
Websitewww.databricks.comrockset.comwww.tencentcloud.com/­products/­dcdb
Technical documentationdocs.databricks.comdocs.rockset.comwww.tencentcloud.com/­document/­product/­1042
DeveloperDatabricksRocksetTencent
Initial release201320192013
License infoCommercial or Open Sourcecommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesyesyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++
Server operating systemshostedhostedhosted
Data schemeFlexible Schema (defined schema, partial schema, schema free)schema-freeyes
Typing infopredefined data types such as float or datedynamic typingyes
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.yesno infoingestion from XML files supportedno
Secondary indexesyesall fields are automatically indexedyes
SQL infoSupport of SQLwith Databricks SQLRead-only SQL queries, including JOINsyes
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
HTTP RESTJDBC
ODBC
Supported programming languagesPython
R
Scala
Go
Java
JavaScript (Node.js)
Python
C
C#
C++
Java
PHP
Python
Ruby
Server-side scripts infoStored proceduresuser defined functions and aggregatesnoyes
Triggersnoyes
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingAutomatic sharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID
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.nono
User concepts infoAccess controlAccess rights for users and organizations can be defined via Rockset consoleUsers with fine-grained authorization concept
More information provided by the system vendor
DatabricksRocksetTDSQL for MySQL
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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DatabricksRocksetTDSQL for MySQL
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