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DBMS > Databricks vs. Quasardb vs. Realm vs. SAP SQL Anywhere vs. TimesTen

System Properties Comparison Databricks vs. Quasardb vs. Realm vs. SAP SQL Anywhere vs. TimesTen

Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonQuasardb  Xexclude from comparisonRealm  Xexclude from comparisonSAP SQL Anywhere infoformerly called Adaptive Server Anywhere  Xexclude from comparisonTimesTen  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 databaseA DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core DataRDBMS database and synchronization technologies for server, desktop, remote office, and mobile environmentsIn-Memory RDBMS compatible to Oracle
Primary database modelDocument store
Relational DBMS
Time Series DBMSDocument storeRelational DBMSRelational 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
Score0.21
Rank#322  Overall
#29  Time Series DBMS
Score7.41
Rank#52  Overall
#8  Document stores
Score3.95
Rank#80  Overall
#42  Relational DBMS
Score1.36
Rank#161  Overall
#75  Relational DBMS
Websitewww.databricks.comquasar.airealm.iowww.sap.com/­products/­technology-platform/­sql-anywhere.htmlwww.oracle.com/­database/­technologies/­related/­timesten.html
Technical documentationdocs.databricks.comdoc.quasar.ai/­masterrealm.io/­docshelp.sap.com/­docs/­SAP_SQL_Anywheredocs.oracle.com/­database/­timesten-18.1
DeveloperDatabricksquasardbRealm, acquired by MongoDB in May 2019SAP infoformerly SybaseOracle, TimesTen Performance Software, HP infooriginally founded in HP Labs it was acquired by Oracle in 2005
Initial release20132009201419921998
Current release3.14.1, January 202417, July 201511 Release 2 (11.2.2.8.0)
License infoCommercial or Open Sourcecommercialcommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensesOpen Sourcecommercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++
Server operating systemshostedBSD
Linux
OS X
Windows
Android
Backend: server-less
iOS
Windows
AIX
HP-UX
Linux
OS X
Solaris
Windows
AIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Data schemeFlexible Schema (defined schema, partial schema, schema free)schema-freeyesyesyes
Typing infopredefined data types such as float or dateyes infointeger and binaryyesyesyes
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.yesnonoyesno
Secondary indexesyesyes infowith tagsyesyesyes
SQL infoSupport of SQLwith Databricks SQLSQL-like query languagenoyesyes
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
HTTP APIADO.NET
HTTP API
JDBC
ODBC
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Supported programming languagesPython
R
Scala
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
.Net
Java infowith Android only
Objective-C
React Native
Swift
C
C#
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C
C++
Java
PL/SQL
Server-side scripts infoStored proceduresuser defined functions and aggregatesnono inforuns within the applications so server-side scripts are unnecessaryyes, in C/C++, Java, .Net or PerlPL/SQL
Triggersnoyes infoChange Listenersyesno
Partitioning methods infoMethods for storing different data on different nodesSharding infoconsistent hashingnonenonenone
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replication with selectable replication factornoneSource-replica replication infoDatabase mirroringMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodswith Hadoop integrationnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynonoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infoby using LevelDByesyesyes infoby means of logfiles and checkpoints
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infoTransient modeyes infoIn-Memory realmyesyes
User concepts infoAccess controlCryptographically strong user authentication and audit trailyesfine grained access rights according to SQL-standardfine grained access rights according to SQL-standard
More information provided by the system vendor
DatabricksQuasardbRealmSAP SQL Anywhere infoformerly called Adaptive Server AnywhereTimesTen
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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DatabricksQuasardbRealmSAP SQL Anywhere infoformerly called Adaptive Server AnywhereTimesTen
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