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DBMS > atoti vs. Brytlyt vs. Google BigQuery vs. Snowflake

System Properties Comparison atoti vs. Brytlyt vs. Google BigQuery vs. Snowflake

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Editorial information provided by DB-Engines
Nameatoti  Xexclude from comparisonBrytlyt  Xexclude from comparisonGoogle BigQuery  Xexclude from comparisonSnowflake  Xexclude from comparison
DescriptionAn in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.Scalable GPU-accelerated RDBMS for very fast analytic and streaming workloads, leveraging PostgreSQLLarge scale data warehouse service with append-only tablesCloud-based data warehousing service for structured and semi-structured data
Primary database modelObject oriented DBMSRelational DBMSRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.56
Rank#249  Overall
#10  Object oriented DBMS
Score0.40
Rank#276  Overall
#126  Relational DBMS
Score62.67
Rank#19  Overall
#13  Relational DBMS
Score125.38
Rank#9  Overall
#6  Relational DBMS
Websiteatoti.iobrytlyt.iocloud.google.com/­bigquerywww.snowflake.com
Technical documentationdocs.atoti.iodocs.brytlyt.iocloud.google.com/­bigquery/­docsdocs.snowflake.net/­manuals/­index.html
DeveloperActiveViamBrytlytGoogleSnowflake Computing Inc.
Initial release201620102014
Current release5.0, August 2023
License infoCommercial or Open Sourcecommercial infofree versions availablecommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud servicenonoyesyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC, C++ and CUDA
Server operating systemsLinux
OS X
Windows
hostedhosted
Data schemeyesyesyes infosupport of semi-structured data formats (JSON, XML, Avro)
Typing infopredefined data types such as float or dateyesyesyes
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.noyes
Secondary indexesyesno
SQL infoSupport of SQLMultidimensional Expressions (MDX)yesyesyes
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
RESTful HTTP/JSON APICLI Client
JDBC
ODBC
Supported programming languages.Net
C
C++
Delphi
Java
Perl
Python
Tcl
.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresPythonuser defined functions infoin PL/pgSQLuser defined functions infoin JavaScriptuser defined functions
Triggersyesnono infosimilar concept for controling cloud resources
Partitioning methods infoMethods for storing different data on different nodesSharding, horizontal partitioningnoneyes
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno infoSince BigQuery is designed for querying dataACID
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnono
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess privileges (owner, writer, reader) on dataset, table or view level infoGoogle Cloud Identity & Access Management (IAM)Users with fine-grained authorization concept, user roles and pluggable authentication

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More resources
atotiBrytlytGoogle BigQuerySnowflake
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