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DBMS > Brytlyt vs. Databricks vs. Microsoft Azure Table Storage vs. Newts vs. RethinkDB

System Properties Comparison Brytlyt vs. Databricks vs. Microsoft Azure Table Storage vs. Newts vs. RethinkDB

Editorial information provided by DB-Engines
NameBrytlyt  Xexclude from comparisonDatabricks  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparisonNewts  Xexclude from comparisonRethinkDB  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 Wide Column Store for rapid development using massive semi-structured datasetsTime Series DBMS based on CassandraDBMS for the Web with a mechanism to push updated query results to applications in realtime.
Primary database modelRelational DBMSDocument store
Relational DBMS
Wide column storeTime Series DBMSDocument store
Secondary database modelsSpatial DBMS
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
Score4.04
Rank#77  Overall
#6  Wide column stores
Score0.07
Rank#375  Overall
#41  Time Series DBMS
Score2.66
Rank#107  Overall
#20  Document stores
Websitebrytlyt.iowww.databricks.comazure.microsoft.com/­en-us/­services/­storage/­tablesopennms.github.io/­newtsrethinkdb.com
Technical documentationdocs.brytlyt.iodocs.databricks.comgithub.com/­OpenNMS/­newts/­wikirethinkdb.com/­docs
DeveloperBrytlytDatabricksMicrosoftOpenNMS GroupThe Linux Foundation infosince July 2017
Initial release20162013201220142009
Current release5.0, August 20232.4.1, August 2020
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source infoApache 2.0Open Source infoApache Version 2
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 CUDAJavaC++
Server operating systemsLinux
OS X
Windows
hostedhostedLinux
OS X
Windows
Linux
OS X
Windows
Data schemeyesFlexible Schema (defined schema, partial schema, schema free)schema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyesyes infostring, binary, float, bool, date, geometry
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 indexesyesyesnonoyes
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
RESTful HTTP APIHTTP REST
Java API
Supported programming languages.Net
C
C++
Delphi
Java
Perl
Python
Tcl
Python
R
Scala
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
JavaC infocommunity-supported driver
C# infocommunity-supported driver
C++ infocommunity-supported driver
Clojure infocommunity-supported driver
Dart infocommunity-supported driver
Erlang infocommunity-supported driver
Go infocommunity-supported driver
Haskell infocommunity-supported driver
Java infoofficial driver
JavaScript (Node.js) infoofficial driver
Lisp infocommunity-supported driver
Lua infocommunity-supported driver
Objective-C infocommunity-supported driver
Perl infocommunity-supported driver
PHP infocommunity-supported driver
Python infoofficial driver
Ruby infoofficial driver
Scala infocommunity-supported driver
Server-side scripts infoStored proceduresuser defined functions infoin PL/pgSQLuser defined functions and aggregatesnono
TriggersyesnonoClient-side triggers through changefeeds
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud serviceSharding infobased on CassandraSharding inforange based
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyesyes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.selectable replication factor infobased on CassandraSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate Consistency
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDoptimistic lockingnoAtomic single-document operations
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes infoMVCC based
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.nononono
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights based on private key authentication or shared access signaturesnoyes infousers and table-level permissions
More information provided by the system vendor
BrytlytDatabricksMicrosoft Azure Table StorageNewtsRethinkDB
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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