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DBMS > Brytlyt vs. EsgynDB vs. NuoDB vs. RRDtool vs. Snowflake

System Properties Comparison Brytlyt vs. EsgynDB vs. NuoDB vs. RRDtool vs. Snowflake

Editorial information provided by DB-Engines
NameBrytlyt  Xexclude from comparisonEsgynDB  Xexclude from comparisonNuoDB  Xexclude from comparisonRRDtool  Xexclude from comparisonSnowflake  Xexclude from comparison
DescriptionScalable GPU-accelerated RDBMS for very fast analytic and streaming workloads, leveraging PostgreSQLEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionNuoDB is a webscale distributed database that supports SQL and ACID transactionsIndustry standard data logging and graphing tool for time series data. RRD is an acronym for round-robin database. infoThe data is stored in a circular buffer, thus the system storage footprint remains constant over time.Cloud-based data warehousing service for structured and semi-structured data
Primary database modelRelational DBMSRelational DBMSRelational DBMSTime Series DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.38
Rank#276  Overall
#127  Relational DBMS
Score0.25
Rank#312  Overall
#138  Relational DBMS
Score0.94
Rank#197  Overall
#92  Relational DBMS
Score1.90
Rank#132  Overall
#11  Time Series DBMS
Score130.36
Rank#8  Overall
#5  Relational DBMS
Websitebrytlyt.iowww.esgyn.cnwww.3ds.com/­nuodb-distributed-sql-databaseoss.oetiker.ch/­rrdtoolwww.snowflake.com
Technical documentationdocs.brytlyt.iodoc.nuodb.comoss.oetiker.ch/­rrdtool/­docdocs.snowflake.net/­manuals/­index.html
DeveloperBrytlytEsgynDassault Systèmes infooriginally NuoDB, Inc.Tobias OetikerSnowflake Computing Inc.
Initial release20162015201319992014
Current release5.0, August 20231.8.0, 2022
License infoCommercial or Open Sourcecommercialcommercialcommercial infolimited edition freeOpen Source infoGPL V2 and FLOSScommercial
Cloud-based only infoOnly available as a cloud servicenonononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++ and CUDAC++, JavaC++C infoImplementations in Java (e.g. RRD4J) and C# available
Server operating systemsLinux
OS X
Windows
Linuxhosted infoAmazon EC2, Windows Azure, SoftLayer
Linux
OS X
Windows
HP-UX
Linux
hosted
Data schemeyesyesyesyesyes infosupport of semi-structured data formats (JSON, XML, Avro)
Typing infopredefined data types such as float or dateyesyesyesNumeric data onlyyes
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.nonono infoExporting into and restoring from XML files possibleyes
Secondary indexesyesyesyesno
SQL infoSupport of SQLyesyesyesnoyes
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
ADO.NET
JDBC
ODBC
ADO.NET
JDBC
ODBC
in-process shared library
Pipes
CLI Client
JDBC
ODBC
Supported programming languages.Net
C
C++
Delphi
Java
Perl
Python
Tcl
All languages supporting JDBC/ODBC/ADO.Net.Net
C
C++
Go
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
C infowith librrd library
C# infowith a different implementation of RRDTool
Java infowith a different implementation of RRDTool
JavaScript (Node.js) infowith a different implementation of RRDTool
Lua
Perl
PHP infowith a wrapper library
Python
Ruby
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresuser defined functions infoin PL/pgSQLJava Stored ProceduresJava, SQLnouser defined functions
Triggersyesnoyesnono infosimilar concept for controling cloud resources
Partitioning methods infoMethods for storing different data on different nodesShardingdata is dynamically stored/cached on the nodes where it is read/writtennoneyes
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-source replication between multi datacentersyes infoManaged transparently by NuoDBnoneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencynoneImmediate Consistency
Foreign keys infoReferential integrityyesyesyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID infotunable commit protocolnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoMVCCyes infoby using the rrdcached daemonyes
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.noyes infoTemporary tableyesno
User concepts infoAccess controlfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardStandard SQL roles/ privileges, Administrative UsersnoUsers with fine-grained authorization concept, user roles and pluggable authentication

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More resources
BrytlytEsgynDBNuoDBRRDtoolSnowflake
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