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DBMS > Brytlyt vs. Databricks vs. Firebase Realtime Database vs. GeoMesa vs. TerarkDB

System Properties Comparison Brytlyt vs. Databricks vs. Firebase Realtime Database vs. GeoMesa vs. TerarkDB

Editorial information provided by DB-Engines
NameBrytlyt  Xexclude from comparisonDatabricks  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparisonGeoMesa  Xexclude from comparisonTerarkDB  Xexclude from comparison
DescriptionScalable GPU-accelerated RDBMS for very fast analytic and streaming workloads, leveraging PostgreSQLThe 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.Cloud-hosted realtime document store. iOS, Android, and JavaScript clients share one Realtime Database instance and automatically receive updates with the newest data.GeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.A key-value store forked from RocksDB with advanced compression algorithms. It can be used standalone or as a storage engine for MySQL and MongoDB
Primary database modelRelational DBMSDocument store
Relational DBMS
Document storeSpatial DBMSKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.38
Rank#276  Overall
#127  Relational DBMS
Score81.08
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score13.64
Rank#39  Overall
#6  Document stores
Score0.86
Rank#205  Overall
#4  Spatial DBMS
Score0.08
Rank#367  Overall
#56  Key-value stores
Websitebrytlyt.iowww.databricks.comfirebase.google.com/­products/­realtime-databasewww.geomesa.orggithub.com/­bytedance/­terarkdb
Technical documentationdocs.brytlyt.iodocs.databricks.comfirebase.google.com/­docs/­databasewww.geomesa.org/­documentation/­stable/­user/­index.htmlbytedance.larkoffice.com/­docs/­doccnZmYFqHBm06BbvYgjsHHcKc
DeveloperBrytlytDatabricksGoogle infoacquired by Google 2014CCRi and othersByteDance, originally Terark
Initial release20162013201220142016
Current release5.0, August 20235.0.0, May 2024
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source infoApache License 2.0commercial inforestricted open source version available
Cloud-based only infoOnly available as a cloud servicenoyesyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++ and CUDAScalaC++
Server operating systemsLinux
OS X
Windows
hostedhosted
Data schemeyesFlexible Schema (defined schema, partial schema, schema free)schema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyesyesno
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.yes infospecific XML-type available, but no XML query functionality.yesnonono
Secondary indexesyesyesyesyesno
SQL infoSupport of SQLyeswith Databricks SQLnonono
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
JDBC
ODBC
RESTful HTTP API
Android
iOS
JavaScript API
RESTful HTTP API
C++ API
Java API
Supported programming languages.Net
C
C++
Delphi
Java
Perl
Python
Tcl
Python
R
Scala
Java
JavaScript
Objective-C
C++
Java
Server-side scripts infoStored proceduresuser defined functions infoin PL/pgSQLuser defined functions and aggregateslimited functionality with using 'rules'nono
TriggersyesCallbacks are triggered when data changesnono
Partitioning methods infoMethods for storing different data on different nodesdepending on storage layernone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyesdepending on storage layernone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
depending on storage layer
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDyesnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nodepending on storage layeryes
User concepts infoAccess controlfine grained access rights according to SQL-standardyes, based on authentication and database rulesyes infodepending on the DBMS used for storageno
More information provided by the system vendor
BrytlytDatabricksFirebase Realtime DatabaseGeoMesaTerarkDB
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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More resources
BrytlytDatabricksFirebase Realtime DatabaseGeoMesaTerarkDB
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