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DBMS > Brytlyt vs. EsgynDB vs. Google BigQuery vs. NuoDB vs. YDB

System Properties Comparison Brytlyt vs. EsgynDB vs. Google BigQuery vs. NuoDB vs. YDB

Editorial information provided by DB-Engines
NameBrytlyt  Xexclude from comparisonEsgynDB  Xexclude from comparisonGoogle BigQuery  Xexclude from comparisonNuoDB  Xexclude from comparisonYDB  Xexclude from comparison
DescriptionScalable GPU-accelerated RDBMS for very fast analytic and streaming workloads, leveraging PostgreSQLEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionLarge scale data warehouse service with append-only tablesNuoDB is a webscale distributed database that supports SQL and ACID transactionsA distributed fault-tolerant database service, with high availability, scalability, immediate consistency and ACID transactions and providing an Amazon DynamoDB compatible API
Primary database modelRelational DBMSRelational DBMSRelational DBMSRelational DBMSDocument store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.38
Rank#279  Overall
#126  Relational DBMS
Score0.23
Rank#319  Overall
#141  Relational DBMS
Score61.90
Rank#19  Overall
#13  Relational DBMS
Score0.99
Rank#195  Overall
#92  Relational DBMS
Score0.34
Rank#285  Overall
#43  Document stores
#130  Relational DBMS
Websitebrytlyt.iowww.esgyn.cncloud.google.com/­bigquerywww.3ds.com/­nuodb-distributed-sql-databasegithub.com/­ydb-platform/­ydb
ydb.tech
Technical documentationdocs.brytlyt.iocloud.google.com/­bigquery/­docsdoc.nuodb.comydb.tech/­en/­docs
DeveloperBrytlytEsgynGoogleDassault Systèmes infooriginally NuoDB, Inc.Yandex
Initial release20162015201020132019
Current release5.0, August 2023
License infoCommercial or Open Sourcecommercialcommercialcommercialcommercial infolimited edition freeOpen Source infoApache 2.0; commercial license available
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC, C++ and CUDAC++, JavaC++
Server operating systemsLinux
OS X
Windows
Linuxhostedhosted infoAmazon EC2, Windows Azure, SoftLayer
Linux
OS X
Windows
Linux
Data schemeyesyesyesyesFlexible Schema (defined schema, partial schema, schema free)
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.nononono
Secondary indexesyesyesnoyesyes
SQL infoSupport of SQLyesyesyesyesSQL-like query language (YQL)
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
ADO.NET
JDBC
ODBC
RESTful HTTP/JSON APIADO.NET
JDBC
ODBC
RESTful HTTP API (DynamoDB compatible)
Supported programming languages.Net
C
C++
Delphi
Java
Perl
Python
Tcl
All languages supporting JDBC/ODBC/ADO.Net.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
.Net
C
C++
Go
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
Go
Java
JavaScript (Node.js)
PHP
Python
Server-side scripts infoStored proceduresuser defined functions infoin PL/pgSQLJava Stored Proceduresuser defined functions infoin JavaScriptJava, SQLno
Triggersyesnonoyes
Partitioning methods infoMethods for storing different data on different nodesShardingnonedata is dynamically stored/cached on the nodes where it is read/writtenSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-source replication between multi datacentersyes infoManaged transparently by NuoDBActive-passive shard replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDno infoSince BigQuery is designed for querying dataACID infotunable commit protocolACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infoMVCCyes
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.nonoyes infoTemporary tableno
User concepts infoAccess controlfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardAccess privileges (owner, writer, reader) on dataset, table or view level infoGoogle Cloud Identity & Access Management (IAM)Standard SQL roles/ privileges, Administrative UsersAccess rights defined for Yandex Cloud users

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More resources
BrytlytEsgynDBGoogle BigQueryNuoDBYDB
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