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DBMS > Databricks vs. Microsoft Azure SQL Database vs. Sequoiadb vs. Tkrzw vs. Yaacomo

System Properties Comparison Databricks vs. Microsoft Azure SQL Database vs. Sequoiadb vs. Tkrzw vs. Yaacomo

Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonMicrosoft Azure SQL Database infoformerly SQL Azure  Xexclude from comparisonSequoiadb  Xexclude from comparisonTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet  Xexclude from comparisonYaacomo  Xexclude from comparison
Yaacomo seems to be discontinued and is removed from the DB-Engines ranking
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.Database as a Service offering with high compatibility to Microsoft SQL ServerNewSQL database with distributed OLTP and SQLA concept of libraries, allowing an application program to store and query key-value pairs in a file. Successor of Tokyo Cabinet and Kyoto CabinetOpenCL based in-memory RDBMS, designed for efficiently utilizing the hardware via parallel computing
Primary database modelDocument store
Relational DBMS
Relational DBMSDocument store
Relational DBMS
Key-value storeRelational DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score84.24
Rank#14  Overall
#2  Document stores
#9  Relational DBMS
Score72.95
Rank#16  Overall
#11  Relational DBMS
Score0.42
Rank#263  Overall
#41  Document stores
#121  Relational DBMS
Score0.00
Rank#385  Overall
#61  Key-value stores
Websitewww.databricks.comazure.microsoft.com/­en-us/­products/­azure-sql/­databasewww.sequoiadb.comdbmx.net/­tkrzwyaacomo.com
Technical documentationdocs.databricks.comdocs.microsoft.com/­en-us/­azure/­azure-sqlwww.sequoiadb.com/­en/­index.php?m=Files&a=index
DeveloperDatabricksMicrosoftSequoiadb Ltd.Mikio HirabayashiQ2WEB GmbH
Initial release20132010201320202009
Current releaseV120.9.3, August 2020
License infoCommercial or Open SourcecommercialcommercialOpen Source infoServer: AGPL; Client: Apache V2Open Source infoApache Version 2.0commercial
Cloud-based only infoOnly available as a cloud serviceyesyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C++C++
Server operating systemshostedhostedLinuxLinux
macOS
Android
Linux
Windows
Data schemeFlexible Schema (defined schema, partial schema, schema free)yesschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyes infooid, date, timestamp, binary, regexnoyes
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.yesyesnonono
Secondary indexesyesyesyesyes
SQL infoSupport of SQLwith Databricks SQLyesSQL-like query languagenoyes
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
ADO.NET
JDBC
ODBC
proprietary protocol using JSONJDBC
ODBC
Supported programming languagesPython
R
Scala
.Net
C#
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
C++
Java
PHP
Python
C++
Java
Python
Ruby
Server-side scripts infoStored proceduresuser defined functions and aggregatesTransact SQLJavaScriptno
Triggersyesnonoyes
Partitioning methods infoMethods for storing different data on different nodesShardingnonehorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes, with always 3 replicas availableSource-replica replicationnoneSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDDocument is locked during a transactionACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes infousing specific database classesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardsimple password-based access controlnofine grained access rights according to SQL-standard
More information provided by the system vendor
DatabricksMicrosoft Azure SQL Database infoformerly SQL AzureSequoiadbTkrzw infoSuccessor of Tokyo Cabinet and Kyoto CabinetYaacomo
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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More resources
DatabricksMicrosoft Azure SQL Database infoformerly SQL AzureSequoiadbTkrzw infoSuccessor of Tokyo Cabinet and Kyoto CabinetYaacomo
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