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DBMS > Databricks vs. mSQL vs. Newts vs. Warp 10

System Properties Comparison Databricks vs. mSQL vs. Newts vs. Warp 10

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Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonmSQL infoMini SQL  Xexclude from comparisonNewts  Xexclude from comparisonWarp 10  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.mSQL (Mini SQL) is a simple and lightweight RDBMSTime Series DBMS based on CassandraTimeSeries DBMS specialized on timestamped geo data based on LevelDB or HBase
Primary database modelDocument store
Relational DBMS
Relational DBMSTime Series DBMSTime Series 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
Score1.27
Rank#167  Overall
#77  Relational DBMS
Score0.00
Rank#383  Overall
#41  Time Series DBMS
Score0.07
Rank#349  Overall
#32  Time Series DBMS
Websitewww.databricks.comhughestech.com.au/­products/­msqlopennms.github.io/­newtswww.warp10.io
Technical documentationdocs.databricks.comgithub.com/­OpenNMS/­newts/­wikiwww.warp10.io/­content/­02_Getting_started
DeveloperDatabricksHughes TechnologiesOpenNMS GroupSenX
Initial release2013199420142015
Current release4.4, October 2021
License infoCommercial or Open Sourcecommercialcommercial infofree licenses can be providedOpen Source infoApache 2.0Open Source infoApache License 2.0
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCJavaJava
Server operating systemshostedAIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Linux
OS X
Windows
Linux
OS X
Windows
Data schemeFlexible Schema (defined schema, partial schema, schema free)yesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyes
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.yesnonono
Secondary indexesyesyesnono
SQL infoSupport of SQLwith Databricks SQLA subset of ANSI SQL is implemented infono subqueries, aggregate functions, views, foreign keys, triggersnono
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
JDBC
ODBC
HTTP REST
Java API
HTTP API
Jupyter
WebSocket
Supported programming languagesPython
R
Scala
C
C++
Delphi
Java
Perl
PHP
Tcl
Java
Server-side scripts infoStored proceduresuser defined functions and aggregatesnonoyes infoWarpScript
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infobased on CassandraSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesyesnoneselectable replication factor infobased on Cassandraselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencynoneEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate Consistency infobased on HBase
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonono
Concurrency infoSupport for concurrent manipulation of datayesnoyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nononoyes
User concepts infoAccess controlnonoMandatory use of cryptographic tokens, containing fine-grained authorizations
More information provided by the system vendor
DatabricksmSQL infoMini SQLNewtsWarp 10
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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More resources
DatabricksmSQL infoMini SQLNewtsWarp 10
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