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DBMS > atoti vs. Blueflood vs. Brytlyt vs. Databend

System Properties Comparison atoti vs. Blueflood vs. Brytlyt vs. Databend

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Editorial information provided by DB-Engines
Nameatoti  Xexclude from comparisonBlueflood  Xexclude from comparisonBrytlyt  Xexclude from comparisonDatabend  Xexclude from comparison
DescriptionAn in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.Scalable TimeSeries DBMS based on CassandraScalable GPU-accelerated RDBMS for very fast analytic and streaming workloads, leveraging PostgreSQLAn open-source, elastic, and workload-aware cloud data warehouse designed to meet businesses' massive-scale analytics needs at low cost and with low complexity
Primary database modelObject oriented DBMSTime Series DBMSRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.56
Rank#245  Overall
#10  Object oriented DBMS
Score0.06
Rank#353  Overall
#34  Time Series DBMS
Score0.29
Rank#288  Overall
#131  Relational DBMS
Score0.30
Rank#287  Overall
#130  Relational DBMS
Websiteatoti.ioblueflood.iobrytlyt.iogithub.com/­datafuselabs/­databend
www.databend.com
Technical documentationdocs.atoti.iogithub.com/­rax-maas/­blueflood/­wikidocs.brytlyt.iodocs.databend.com
DeveloperActiveViamRackspaceBrytlytDatabend Labs
Initial release201320162021
Current release5.0, August 20231.0.59, April 2023
License infoCommercial or Open Sourcecommercial infofree versions availableOpen Source infoApache 2.0commercialOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJavaC, C++ and CUDARust
Server operating systemsLinux
OS X
Linux
OS X
Windows
hosted
Linux
macOS
Data schemepredefined schemeyesyes
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.noyes infospecific XML-type available, but no XML query functionality.no
Secondary indexesnoyesno
SQL infoSupport of SQLMultidimensional Expressions (MDX)noyesyes
APIs and other access methodsHTTP RESTADO.NET
JDBC
native C library
ODBC
streaming API for large objects
CLI Client
JDBC
RESTful HTTP API
Supported programming languages.Net
C
C++
Delphi
Java
Perl
Python
Tcl
Go
Java
JavaScript (Node.js)
Python
Rust
Server-side scripts infoStored proceduresPythonnouser defined functions infoin PL/pgSQLno
Triggersnoyesno
Partitioning methods infoMethods for storing different data on different nodesSharding, horizontal partitioningSharding infobased on Cassandranone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infobased on CassandraSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDyes
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.yesno
User concepts infoAccess controlnofine grained access rights according to SQL-standardUsers with fine-grained authorization concept, user roles

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More resources
atotiBluefloodBrytlytDatabend
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