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DBMS > Databricks vs. Percona Server for MongoDB vs. Prometheus vs. Quasardb

System Properties Comparison Databricks vs. Percona Server for MongoDB vs. Prometheus vs. Quasardb

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Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonPercona Server for MongoDB  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.A drop-in replacement for MongoDB Community Edition with enterprise-grade features.Open-source Time Series DBMS and monitoring systemDistributed, high-performance timeseries database
Primary database modelDocument store
Relational DBMS
Document storeTime Series DBMSTime Series 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
Score0.60
Rank#246  Overall
#39  Document stores
Score7.69
Rank#50  Overall
#3  Time Series DBMS
Score0.21
Rank#322  Overall
#29  Time Series DBMS
Websitewww.databricks.comwww.percona.com/­mongodb/­software/­percona-server-for-mongodbprometheus.ioquasar.ai
Technical documentationdocs.databricks.comdocs.percona.com/­percona-distribution-for-mongodbprometheus.io/­docsdoc.quasar.ai/­master
DeveloperDatabricksPerconaquasardb
Initial release2013201520152009
Current release3.4.10-2.10, November 20173.14.1, January 2024
License infoCommercial or Open SourcecommercialOpen Source infoGPL Version 2Open 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 serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++GoC++
Server operating systemshostedLinuxLinux
Windows
BSD
Linux
OS X
Windows
Data schemeFlexible Schema (defined schema, partial schema, schema free)schema-freeyesschema-free
Typing infopredefined data types such as float or dateyesNumeric 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.yesnono infoImport of XML data possibleno
Secondary indexesyesyesnoyes infowith tags
SQL infoSupport of SQLwith Databricks SQLnonoSQL-like query language
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
proprietary protocol using JSONRESTful HTTP/JSON APIHTTP API
Supported programming languagesPython
R
Scala
Actionscript
C
C#
C++
Clojure
ColdFusion
D
Dart
Delphi
Erlang
Go
Groovy
Haskell
Java
JavaScript
Lisp
Lua
MatLab
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Scala
Smalltalk
.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 aggregatesJavaScriptnono
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infoconsistent hashing
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replicationyes infoby FederationSource-replica replication with selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnowith Hadoop integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency
noneImmediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoby using LevelDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infovia In-Memory Enginenoyes infoTransient mode
User concepts infoAccess controlAccess rights for users and rolesnoCryptographically strong user authentication and audit trail
More information provided by the system vendor
DatabricksPercona Server for MongoDBPrometheusQuasardb
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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DatabricksPercona Server for MongoDBPrometheusQuasardb
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