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DBMS > Brytlyt vs. Google BigQuery vs. Ingres vs. Newts vs. SQLite

System Properties Comparison Brytlyt vs. Google BigQuery vs. Ingres vs. Newts vs. SQLite

Editorial information provided by DB-Engines
NameBrytlyt  Xexclude from comparisonGoogle BigQuery  Xexclude from comparisonIngres  Xexclude from comparisonNewts  Xexclude from comparisonSQLite  Xexclude from comparison
DescriptionScalable GPU-accelerated RDBMS for very fast analytic and streaming workloads, leveraging PostgreSQLLarge scale data warehouse service with append-only tablesWell established RDBMSTime Series DBMS based on CassandraWidely used embeddable, in-process RDBMS
Primary database modelRelational DBMSRelational DBMSRelational DBMSTime Series DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.29
Rank#288  Overall
#131  Relational DBMS
Score60.38
Rank#19  Overall
#13  Relational DBMS
Score4.11
Rank#81  Overall
#44  Relational DBMS
Score0.00
Rank#383  Overall
#41  Time Series DBMS
Score114.32
Rank#10  Overall
#7  Relational DBMS
Websitebrytlyt.iocloud.google.com/­bigquerywww.actian.com/­databases/­ingresopennms.github.io/­newtswww.sqlite.org
Technical documentationdocs.brytlyt.iocloud.google.com/­bigquery/­docsdocs.actian.com/­ingresgithub.com/­OpenNMS/­newts/­wikiwww.sqlite.org/­docs.html
DeveloperBrytlytGoogleActian CorporationOpenNMS GroupDwayne Richard Hipp
Initial release201620101974 infooriginally developed at University Berkely in early 1970s20142000
Current release5.0, August 202311.2, May 20223.45.3  (15 April 2024), April 2024
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source infoApache 2.0Open Source infoPublic Domain
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++ and CUDACJavaC
Server operating systemsLinux
OS X
Windows
hostedAIX
HP Open VMS
HP-UX
Linux
Solaris
Windows
Linux
OS X
Windows
server-less
Data schemeyesyesyesschema-freeyes infodynamic column types
Typing infopredefined data types such as float or dateyesyesyesyesyes infonot rigid because of 'dynamic typing' concept.
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.nono infobut tools for importing/exporting data from/to XML-files availablenono
Secondary indexesyesnoyesnoyes
SQL infoSupport of SQLyesyesyesnoyes infoSQL-92 is not fully supported
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
RESTful HTTP/JSON API.NET Client API
JDBC
ODBC
proprietary protocol (OpenAPI)
HTTP REST
Java API
ADO.NET infoinofficial driver
JDBC infoinofficial driver
ODBC infoinofficial driver
Supported programming languages.Net
C
C++
Delphi
Java
Perl
Python
Tcl
.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
JavaActionscript
Ada
Basic
C
C#
C++
D
Delphi
Forth
Fortran
Haskell
Java
JavaScript
Lisp
Lua
MatLab
Objective-C
OCaml
Perl
PHP
PL/SQL
Python
R
Ruby
Scala
Scheme
Smalltalk
Tcl
Server-side scripts infoStored proceduresuser defined functions infoin PL/pgSQLuser defined functions infoin JavaScriptyesnono
Triggersyesnoyesnoyes
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioning infoIngres Star to access multiple databases simultaneouslySharding infobased on Cassandranone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationIngres Replicatorselectable replication factor infobased on Cassandranone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Foreign keys infoReferential integrityyesnoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno infoSince BigQuery is designed for querying dataACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoMVCCyesyes infovia file-system locks
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.nononoyes
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)fine grained access rights according to SQL-standardnono

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