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DBMS > Databricks vs. GeoMesa vs. RavenDB

System Properties Comparison Databricks vs. GeoMesa vs. RavenDB

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Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonGeoMesa  Xexclude from comparisonRavenDB  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 Operational and Transactional Enterprise NoSQL Document Database
Primary database modelDocument store
Relational DBMS
Spatial DBMSDocument store
Secondary database modelsGraph DBMS
Spatial DBMS
Time 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
Score0.86
Rank#205  Overall
#4  Spatial DBMS
Score2.84
Rank#101  Overall
#18  Document stores
Websitewww.databricks.comwww.geomesa.orgravendb.net
Technical documentationdocs.databricks.comwww.geomesa.org/­documentation/­stable/­user/­index.htmlravendb.net/­docs
DeveloperDatabricksCCRi and othersHibernating Rhinos
Initial release201320142010
Current release5.0.0, May 20245.4, July 2022
License infoCommercial or Open SourcecommercialOpen Source infoApache License 2.0Open Source infoAGPL version 3, commercial license available
Cloud-based only infoOnly available as a cloud serviceyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageScalaC#
Server operating systemshostedLinux
macOS
Raspberry Pi
Windows
Data schemeFlexible Schema (defined schema, partial schema, schema free)yesschema-free
Typing infopredefined data types such as float or dateyesno
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
Secondary indexesyesyesyes
SQL infoSupport of SQLwith Databricks SQLnoSQL-like query language (RQL)
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
.NET Client API
F# Client API
Go Client API
Java Client API
NodeJS Client API
PHP Client API
Python Client API
RESTful HTTP API
Supported programming languagesPython
R
Scala
.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresuser defined functions and aggregatesnoyes
Triggersnoyes
Partitioning methods infoMethods for storing different data on different nodesdepending on storage layerSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesdepending on storage layerMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistencydepending on storage layerDefault ACID transactions on the local node (eventually consistent across the cluster). Atomic operations with cluster-wide ACID transactions. Eventual consistency for indexes and full-text search indexes.
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID, Cluster-wide transaction available
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.nodepending on storage layer
User concepts infoAccess controlyes infodepending on the DBMS used for storageAuthorization levels configured per client per database
More information provided by the system vendor
DatabricksGeoMesaRavenDB
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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More resources
DatabricksGeoMesaRavenDB
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