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DBMS > Databricks vs. Newts vs. Postgres-XL vs. Prometheus vs. Quasardb

System Properties Comparison Databricks vs. Newts vs. Postgres-XL vs. Prometheus vs. Quasardb

Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonNewts  Xexclude from comparisonPostgres-XL  Xexclude from comparisonPrometheus  Xexclude from comparisonQuasardb  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.Time Series DBMS based on CassandraBased on PostgreSQL enhanced with MPP and write-scale-out cluster featuresOpen-source Time Series DBMS and monitoring systemDistributed, high-performance timeseries database
Primary database modelDocument store
Relational DBMS
Time Series DBMSRelational DBMSTime Series DBMSTime Series DBMS
Secondary database modelsDocument store
Spatial 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
Score0.00
Rank#383  Overall
#41  Time Series DBMS
Score0.49
Rank#256  Overall
#117  Relational DBMS
Score8.42
Rank#47  Overall
#2  Time Series DBMS
Score0.14
Rank#332  Overall
#29  Time Series DBMS
Websitewww.databricks.comopennms.github.io/­newtswww.postgres-xl.orgprometheus.ioquasar.ai
Technical documentationdocs.databricks.comgithub.com/­OpenNMS/­newts/­wikiwww.postgres-xl.org/­documentationprometheus.io/­docsdoc.quasar.ai/­master
DeveloperDatabricksOpenNMS Groupquasardb
Initial release201320142014 infosince 2012, originally named StormDB20152009
Current release10 R1, October 20183.14.1, January 2024
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open Source infoMozilla public licenseOpen Source infoApache 2.0commercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licenses
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 languageJavaCGoC++
Server operating systemshostedLinux
OS X
Windows
Linux
macOS
Linux
Windows
BSD
Linux
OS X
Windows
Data schemeFlexible Schema (defined schema, partial schema, schema free)schema-freeyesyesschema-free
Typing infopredefined data types such as float or dateyesyesNumeric data onlyyes infointeger and binary
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.yesnoyes infoXML type, but no XML query functionalityno infoImport of XML data possibleno
Secondary indexesyesnoyesnoyes infowith tags
SQL infoSupport of SQLwith Databricks SQLnoyes infodistributed, parallel query executionnoSQL-like query language
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
HTTP REST
Java API
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
RESTful HTTP/JSON APIHTTP API
Supported programming languagesPython
R
Scala
Java.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Server-side scripts infoStored proceduresuser defined functions and aggregatesnouser defined functionsnono
Triggersnoyesnono
Partitioning methods infoMethods for storing different data on different nodesSharding infobased on Cassandrahorizontal partitioningShardingSharding infoconsistent hashing
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factor infobased on Cassandrayes infoby FederationSource-replica replication with selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononowith Hadoop integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate ConsistencynoneImmediate Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID infoMVCCnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes infoby using LevelDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonononoyes infoTransient mode
User concepts infoAccess controlnofine grained access rights according to SQL-standardnoCryptographically strong user authentication and audit trail
More information provided by the system vendor
DatabricksNewtsPostgres-XLPrometheusQuasardb
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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More resources
DatabricksNewtsPostgres-XLPrometheusQuasardb
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