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DBMS > Databricks vs. GeoMesa vs. Prometheus vs. SwayDB

System Properties Comparison Databricks vs. GeoMesa vs. Prometheus vs. SwayDB

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Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonGeoMesa  Xexclude from comparisonPrometheus  Xexclude from comparisonSwayDB  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.GeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.Open-source Time Series DBMS and monitoring systemAn embeddable, non-blocking, type-safe key-value store for single or multiple disks and in-memory storage
Primary database modelDocument store
Relational DBMS
Spatial DBMSTime Series DBMSKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score78.61
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score0.78
Rank#213  Overall
#4  Spatial DBMS
Score8.42
Rank#47  Overall
#2  Time Series DBMS
Score0.00
Rank#382  Overall
#59  Key-value stores
Websitewww.databricks.comwww.geomesa.orgprometheus.ioswaydb.simer.au
Technical documentationdocs.databricks.comwww.geomesa.org/­documentation/­stable/­user/­index.htmlprometheus.io/­docs
DeveloperDatabricksCCRi and othersSimer Plaha
Initial release2013201420152018
Current release5.0.0, May 2024
License infoCommercial or Open SourcecommercialOpen Source infoApache License 2.0Open Source infoApache 2.0Open Source infoGNU Affero GPL V3.0
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 languageScalaGoScala
Server operating systemshostedLinux
Windows
Data schemeFlexible Schema (defined schema, partial schema, schema free)yesyesschema-free
Typing infopredefined data types such as float or dateyesNumeric data onlyno
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 indexesyesyesnono
SQL infoSupport of SQLwith Databricks SQLnonono
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
RESTful HTTP/JSON API
Supported programming languagesPython
R
Scala
.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
Java
Kotlin
Scala
Server-side scripts infoStored proceduresuser defined functions and aggregatesnonono
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesdepending on storage layerShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesdepending on storage layeryes infoby Federationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistencydepending on storage layernoneImmediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoAtomic execution of operations
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.nodepending on storage layernoyes
User concepts infoAccess controlyes infodepending on the DBMS used for storagenono
More information provided by the system vendor
DatabricksGeoMesaPrometheusSwayDB
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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DatabricksGeoMesaPrometheusSwayDB
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