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DBMS > Cachelot.io vs. Databricks vs. GeoMesa vs. SwayDB

System Properties Comparison Cachelot.io vs. Databricks vs. GeoMesa vs. SwayDB

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Editorial information provided by DB-Engines
NameCachelot.io  Xexclude from comparisonDatabricks  Xexclude from comparisonGeoMesa  Xexclude from comparisonSwayDB  Xexclude from comparison
DescriptionIn-memory caching systemThe 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.An embeddable, non-blocking, type-safe key-value store for single or multiple disks and in-memory storage
Primary database modelKey-value storeDocument store
Relational DBMS
Spatial DBMSKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.00
Rank#383  Overall
#60  Key-value stores
Score78.61
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score0.78
Rank#213  Overall
#4  Spatial DBMS
Score0.00
Rank#382  Overall
#59  Key-value stores
Websitecachelot.iowww.databricks.comwww.geomesa.orgswaydb.simer.au
Technical documentationdocs.databricks.comwww.geomesa.org/­documentation/­stable/­user/­index.html
DeveloperDatabricksCCRi and othersSimer Plaha
Initial release2015201320142018
Current release4.0.5, February 2024
License infoCommercial or Open SourceOpen Source infoSimplified BSD LicensecommercialOpen Source infoApache License 2.0Open Source infoGNU Affero GPL V3.0
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++ScalaScala
Server operating systemsFreeBSD
Linux
OS X
hosted
Data schemeschema-freeFlexible Schema (defined schema, partial schema, schema free)yesschema-free
Typing infopredefined data types such as float or datenoyesno
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.noyesnono
Secondary indexesnoyesyesno
SQL infoSupport of SQLnowith Databricks SQLnono
APIs and other access methodsMemcached protocolJDBC
ODBC
RESTful HTTP API
Supported programming languages.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
OCaml
Perl
PHP
Python
Ruby
Python
R
Scala
Java
Kotlin
Scala
Server-side scripts infoStored proceduresnouser defined functions and aggregatesnono
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesnonedepending on storage layernone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyesdepending on storage layernone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate Consistencydepending on storage layerImmediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoAtomic execution of operations
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentnoyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonodepending on storage layeryes
User concepts infoAccess controlnoyes infodepending on the DBMS used for storageno
More information provided by the system vendor
Cachelot.ioDatabricksGeoMesaSwayDB
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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More resources
Cachelot.ioDatabricksGeoMesaSwayDB
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