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DBMS > Databricks vs. SAP SQL Anywhere vs. Sequoiadb

System Properties Comparison Databricks vs. SAP SQL Anywhere vs. Sequoiadb

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Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonSAP SQL Anywhere infoformerly called Adaptive Server Anywhere  Xexclude from comparisonSequoiadb  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.RDBMS database and synchronization technologies for server, desktop, remote office, and mobile environmentsNewSQL database with distributed OLTP and SQL
Primary database modelDocument store
Relational DBMS
Relational DBMSDocument store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score78.61
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score4.25
Rank#79  Overall
#43  Relational DBMS
Score0.45
Rank#261  Overall
#41  Document stores
#122  Relational DBMS
Websitewww.databricks.comwww.sap.com/­products/­technology-platform/­sql-anywhere.htmlwww.sequoiadb.com
Technical documentationdocs.databricks.comhelp.sap.com/­docs/­SAP_SQL_Anywherewww.sequoiadb.com/­en/­index.php?m=Files&a=index
DeveloperDatabricksSAP infoformerly SybaseSequoiadb Ltd.
Initial release201319922013
Current release17, July 2015
License infoCommercial or Open SourcecommercialcommercialOpen Source infoServer: AGPL; Client: Apache V2
Cloud-based only infoOnly available as a cloud serviceyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++
Server operating systemshostedAIX
HP-UX
Linux
OS X
Solaris
Windows
Linux
Data schemeFlexible Schema (defined schema, partial schema, schema free)yesschema-free
Typing infopredefined data types such as float or dateyesyes infooid, date, timestamp, binary, regex
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.yesyesno
Secondary indexesyesyesyes
SQL infoSupport of SQLwith Databricks SQLyesSQL-like query language
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
ADO.NET
HTTP API
JDBC
ODBC
proprietary protocol using JSON
Supported programming languagesPython
R
Scala
C
C#
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
.Net
C++
Java
PHP
Python
Server-side scripts infoStored proceduresuser defined functions and aggregatesyes, in C/C++, Java, .Net or PerlJavaScript
Triggersyesno
Partitioning methods infoMethods for storing different data on different nodesnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replication infoDatabase mirroringSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDDocument is locked during a transaction
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.noyesno
User concepts infoAccess controlfine grained access rights according to SQL-standardsimple password-based access control
More information provided by the system vendor
DatabricksSAP SQL Anywhere infoformerly called Adaptive Server AnywhereSequoiadb
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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More resources
DatabricksSAP SQL Anywhere infoformerly called Adaptive Server AnywhereSequoiadb
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