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DBMS > Databricks vs. Quasardb vs. Sequoiadb vs. STSdb

System Properties Comparison Databricks vs. Quasardb vs. Sequoiadb vs. STSdb

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Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonQuasardb  Xexclude from comparisonSequoiadb  Xexclude from comparisonSTSdb  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.Distributed, high-performance timeseries databaseNewSQL database with distributed OLTP and SQLKey-Value Store with special method for indexing infooptimized for high performance using a special indexing method
Primary database modelDocument store
Relational DBMS
Time Series DBMSDocument store
Relational DBMS
Key-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score78.61
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score0.14
Rank#332  Overall
#29  Time Series DBMS
Score0.45
Rank#261  Overall
#41  Document stores
#122  Relational DBMS
Score0.04
Rank#360  Overall
#52  Key-value stores
Websitewww.databricks.comquasar.aiwww.sequoiadb.comgithub.com/­STSSoft/­STSdb4
Technical documentationdocs.databricks.comdoc.quasar.ai/­masterwww.sequoiadb.com/­en/­index.php?m=Files&a=index
DeveloperDatabricksquasardbSequoiadb Ltd.STS Soft SC
Initial release2013200920132011
Current release3.14.1, January 20244.0.8, September 2015
License infoCommercial or Open Sourcecommercialcommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensesOpen Source infoServer: AGPL; Client: Apache V2Open Source infoGPLv2, commercial license available
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C++C#
Server operating systemshostedBSD
Linux
OS X
Windows
LinuxWindows
Data schemeFlexible Schema (defined schema, partial schema, schema free)schema-freeschema-freeyes
Typing infopredefined data types such as float or dateyes infointeger and binaryyes infooid, date, timestamp, binary, regexyes infoprimitive types and user defined types (classes)
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
Secondary indexesyesyes infowith tagsyesno
SQL infoSupport of SQLwith Databricks SQLSQL-like query languageSQL-like query languageno
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
HTTP APIproprietary protocol using JSON.NET Client API
Supported programming languagesPython
R
Scala
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
.Net
C++
Java
PHP
Python
C#
Java
Server-side scripts infoStored proceduresuser defined functions and aggregatesnoJavaScriptno
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesSharding infoconsistent hashingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replication with selectable replication factorSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodswith Hadoop integrationnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDDocument is locked during a transactionno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infoby using LevelDByesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infoTransient modeno
User concepts infoAccess controlCryptographically strong user authentication and audit trailsimple password-based access controlno
More information provided by the system vendor
DatabricksQuasardbSequoiadbSTSdb
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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DatabricksQuasardbSequoiadbSTSdb
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