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DBMS > Databricks vs. Prometheus vs. ScyllaDB

System Properties Comparison Databricks vs. Prometheus vs. ScyllaDB

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Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonPrometheus  Xexclude from comparisonScyllaDB  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.Open-source Time Series DBMS and monitoring systemCassandra and DynamoDB compatible wide column store
Primary database modelDocument store
Relational DBMS
Time Series DBMSWide column store
Secondary database modelsKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score96.01
Rank#13  Overall
#2  Document stores
#9  Relational DBMS
Score6.38
Rank#54  Overall
#3  Time Series DBMS
Score3.61
Rank#72  Overall
#5  Wide column stores
Websitewww.databricks.comprometheus.iowww.scylladb.com
Technical documentationdocs.databricks.comprometheus.io/­docsdocs.scylladb.com
DeveloperDatabricksScyllaDB
Initial release201320152015
Current releaseScyllaDB Open Source 6.2.0, October 2024
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open Source infoOpen Source (AGPL), commercial license available
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 languageGoC++
Server operating systemshostedLinux
Windows
Linux
Data schemeFlexible Schema (defined schema, partial schema, schema free)yesschema-free
Typing infopredefined data types such as float or dateNumeric data onlyyes
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.yesno infoImport of XML data possibleno
Secondary indexesyesnoyes infocluster global secondary indices
SQL infoSupport of SQLwith Databricks SQLnoSQL-like DML and DDL statements (CQL)
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
RESTful HTTP/JSON APIProprietary protocol (CQL) infocompatible with CQL (Cassandra Query Language, an SQL-like language)
RESTful HTTP API (DynamoDB compatible)
Thrift
Supported programming languagesPython
R
Scala
.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
For CQL interface: C#, C++, Clojure, Erlang, Go, Haskell, Java, JavaScript, Node.js, Perl, PHP, Python, Ruby, Rust, Scala
For DynamoDB interface: .Net, ColdFusion, Erlang, Groovy, Java, JavaScript, Perl, PHP, Python, Ruby
Server-side scripts infoStored proceduresuser defined functions and aggregatesnoyes, Lua
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes infoby Federationselectable replication factor infoRepresentation of geographical distribution of servers is possible
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencynoneEventual Consistency
Tunable Consistency infocan be individually decided for each write operation
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoyes infoAtomicity and isolation are supported for single operations
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.nonoyes infoin-memory tables
User concepts infoAccess controlnoAccess rights for users can be defined per object
More information provided by the system vendor
DatabricksPrometheusScyllaDB
News

New ScyllaDB Release Delivers Unprecedented Elasticity & Efficiency via “Tablets” Architecture
3 December 2024

ScyllaDB Announces 6.0 Release for True Elastic Scale
12 June 2024

New ScyllaDB Release Achieves 50% Higher Throughput, 33% Lower Latency
20 February 2024

ScyllaDB Named Fastest Growing NoSQL Database on Deloitte Fast 500 List for the Second Consecutive Year
14 November 2023

ScyllaDB Raises $43M to Take on MongoDB at Scale, Push Database Performance to New Levels
17 October 2023

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More resources
DatabricksPrometheusScyllaDB
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