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DBMS > Brytlyt vs. Databricks vs. Dragonfly vs. HBase

System Properties Comparison Brytlyt vs. Databricks vs. Dragonfly vs. HBase

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Editorial information provided by DB-Engines
NameBrytlyt  Xexclude from comparisonDatabricks  Xexclude from comparisonDragonfly  Xexclude from comparisonHBase  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.A drop-in Redis replacement that scales vertically to support millions of operations per second and terabyte sized workloads, all on a single instanceWide-column store based on Apache Hadoop and on concepts of BigTable
Primary database modelRelational DBMSDocument store
Relational DBMS
Key-value storeWide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.29
Rank#288  Overall
#131  Relational DBMS
Score78.61
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score0.41
Rank#266  Overall
#38  Key-value stores
Score30.50
Rank#26  Overall
#2  Wide column stores
Websitebrytlyt.iowww.databricks.comgithub.com/­dragonflydb/­dragonfly
www.dragonflydb.io
hbase.apache.org
Technical documentationdocs.brytlyt.iodocs.databricks.comwww.dragonflydb.io/­docshbase.apache.org/­book.html
DeveloperBrytlytDatabricksDragonflyDB team and community contributorsApache Software Foundation infoApache top-level project, originally developed by Powerset
Initial release2016201320232008
Current release5.0, August 20231.0, March 20232.3.4, January 2021
License infoCommercial or Open SourcecommercialcommercialOpen Source infoBSL 1.1Open Source infoApache version 2
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++ and CUDAC++Java
Server operating systemsLinux
OS X
Windows
hostedLinuxLinux
Unix
Windows infousing Cygwin
Data schemeyesFlexible Schema (defined schema, partial schema, schema free)scheme-freeschema-free, schema definition possible
Typing infopredefined data types such as float or dateyesstrings, hashes, lists, sets, sorted sets, bit arraysoptions to bring your own types, AVRO
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.yesnono
Secondary indexesyesyesnono
SQL infoSupport of SQLyeswith Databricks SQLnono
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
JDBC
ODBC
RESTful HTTP API
Proprietary protocol infoRESP - REdis Serialization ProtocolJava API
RESTful HTTP API
Thrift
Supported programming languages.Net
C
C++
Delphi
Java
Perl
Python
Tcl
Python
R
Scala
C
C#
C++
Clojure
D
Dart
Elixir
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
Lua
Objective-C
Perl
PHP
Python
R
Ruby
Rust
Scala
Swift
Tcl
C
C#
C++
Groovy
Java
PHP
Python
Scala
Server-side scripts infoStored proceduresuser defined functions infoin PL/pgSQLuser defined functions and aggregatesLuayes infoCoprocessors in Java
Triggersyespublish/subscribe channels provide some trigger functionalityyes
Partitioning methods infoMethods for storing different data on different nodesSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyesSource-replica replicationMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual ConsistencyImmediate Consistency or Eventual Consistency
Foreign keys infoReferential integrityyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDAtomic execution of command blocks and scriptsSingle row ACID (across millions of columns)
Concurrency infoSupport for concurrent manipulation of datayesyesyes, strict serializability by the serveryes
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.noyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardPassword-based authenticationAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC
More information provided by the system vendor
BrytlytDatabricksDragonflyHBase
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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BrytlytDatabricksDragonflyHBase
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