DB-EnginesExtremeDB for everyone with an RTOSEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by solid IT

DBMS > atoti vs. BigObject vs. Blueflood vs. Brytlyt

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

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
Nameatoti  Xexclude from comparisonBigObject  Xexclude from comparisonBlueflood  Xexclude from comparisonBrytlyt  Xexclude from comparison
DescriptionAn in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.Analytic DBMS for real-time computations and queriesScalable TimeSeries DBMS based on CassandraScalable GPU-accelerated RDBMS for very fast analytic and streaming workloads, leveraging PostgreSQL
Primary database modelObject oriented DBMSRelational DBMS infoa hierachical model (tree) can be imposedTime Series DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.61
Rank#243  Overall
#10  Object oriented DBMS
Score0.19
Rank#329  Overall
#146  Relational DBMS
Score0.13
Rank#346  Overall
#33  Time Series DBMS
Score0.38
Rank#276  Overall
#127  Relational DBMS
Websiteatoti.iobigobject.ioblueflood.iobrytlyt.io
Technical documentationdocs.atoti.iodocs.bigobject.iogithub.com/­rax-maas/­blueflood/­wikidocs.brytlyt.io
DeveloperActiveViamBigObject, Inc.RackspaceBrytlyt
Initial release201520132016
Current release5.0, August 2023
License infoCommercial or Open Sourcecommercial infofree versions availablecommercial infofree community edition availableOpen Source infoApache 2.0commercial
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 CUDA
Server operating systemsLinux infodistributed as a docker-image
OS X infodistributed as a docker-image (boot2docker)
Windows infodistributed as a docker-image (boot2docker)
Linux
OS X
Linux
OS X
Windows
Data schemeyespredefined schemeyes
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.nonoyes infospecific XML-type available, but no XML query functionality.
Secondary indexesyesnoyes
SQL infoSupport of SQLMultidimensional Expressions (MDX)SQL-like DML and DDL statementsnoyes
APIs and other access methodsfluentd
ODBC
RESTful HTTP API
HTTP RESTADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languages.Net
C
C++
Delphi
Java
Perl
Python
Tcl
Server-side scripts infoStored proceduresPythonLuanouser defined functions infoin PL/pgSQL
Triggersnonoyes
Partitioning methods infoMethods for storing different data on different nodesSharding, horizontal partitioningnoneSharding infobased on Cassandra
Replication methods infoMethods for redundantly storing data on multiple nodesnoneselectable replication factor infobased on CassandraSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate Consistency
Foreign keys infoReferential integrityyes infoautomatically between fact table and dimension tablesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACID
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yes infoRead/write lock on objects (tables, trees)yesyes
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.yesyesno
User concepts infoAccess controlnonofine grained access rights according to SQL-standard

More information provided by the system vendor

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
atotiBigObjectBluefloodBrytlyt
Recent citations in the news

Best use of cloud: ActiveViam
28 November 2023, Risk.net

provided by Google News

Real-Time Performance and Health Monitoring Using Netdata
2 September 2019, CNX Software

provided by Google News

Brytlyt releases version 5.0, introducing a more intuitive, intelligent and flexible analytics platform
1 August 2023, PR Newswire

London data analytics startup Brytlyt raises €4.43M from Amsterdam-based Finch Capital, others
22 December 2021, Silicon Canals

Brytlyt becomes NVIDIA Inception Premier Partner
31 January 2023, PR Newswire

Bringing GPUs To Bear On Bog Standard Relational Databases
26 February 2018, The Next Platform

Brytlyt raises £3.8m for '1000x faster analytics'
22 December 2021, BusinessCloud

provided by Google News



Share this page

Featured Products

Datastax Astra logo

Bring all your data to Generative AI applications with vector search enabled by the most scalable
vector database available.
Try for Free

Milvus logo

Vector database designed for GenAI, fully equipped for enterprise implementation.
Try Managed Milvus for Free

Neo4j logo

See for yourself how a graph database can make your life easier.
Use Neo4j online for free.

Present your product here