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DBMS > Brytlyt vs. Ignite vs. Tarantool

System Properties Comparison Brytlyt vs. Ignite vs. Tarantool

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Editorial information provided by DB-Engines
NameBrytlyt  Xexclude from comparisonIgnite  Xexclude from comparisonTarantool  Xexclude from comparison
DescriptionScalable GPU-accelerated RDBMS for very fast analytic and streaming workloads, leveraging PostgreSQLApache Ignite is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads, delivering in-memory speeds at petabyte scale.In-memory database with an integrated application server
Primary database modelRelational DBMSKey-value store
Relational DBMS
Key-value store
Secondary database modelsDocument store
Relational DBMS
Spatial DBMS infowith Tarantool/GIS extension
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.36
Rank#260  Overall
#121  Relational DBMS
Score6.43
Rank#62  Overall
#8  Key-value stores
#34  Relational DBMS
Score1.65
Rank#134  Overall
#24  Key-value stores
Websitewww.brytlyt.comignite.apache.orgwww.tarantool.io
Technical documentationapacheignite.readme.io/­docswww.tarantool.io/­en/­doc
DeveloperBrytlytApache Software FoundationMail.ru Group
Initial release201620152008
Current release0.9, October 2016Apache Ignite 2.62.4.2, July 2020
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open Source infoBSD
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC, C++ and CUDAC++, Java, .NetC and C++
Server operating systemsLinux
OS X
Windows
Linux
OS X
Solaris
Windows
BSD
Linux
macOS
Data schemeyesyesschema-free, schema definition possible
Typing infopredefined data types such as float or dateyesyesstring, double, decimal, uuid, integer, blob, boolean
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.yesno
Secondary indexesyesyesyes
SQL infoSupport of SQLyesANSI-99 for query and DML statements, subset of DDLFull-featured ANSI SQL support
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
Open binary protocol
Supported programming languages.Net
C
C++
Delphi
Java
Perl
Python
Tcl
C#
C++
Java
PHP
Python
Ruby
Scala
C
C#
C++
Erlang
Go
Java
JavaScript
Lua
Perl
PHP
Python
Rust
Server-side scripts infoStored proceduresuser defined functions infoin PL/pgSQLyes (compute grid and cache interceptors can be used instead)Lua, C and SQL stored procedures
Triggersyesyes (cache interceptors and events)yes
Partitioning methods infoMethods for storing different data on different nodesShardingHash sharding based on virtual buckets
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyes (replicated cache)Multi-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes (compute grid and hadoop accelerator)
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnoyes, with SQL
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID, read commited
Concurrency infoSupport for concurrent manipulation of datayesyesyes, cooperative multitasking
Durability infoSupport for making data persistentyesyesyes, regular snapshots on disk, write ahead logging
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes, full featured in-memory storage engine with persistence
User concepts infoAccess controlfine grained access rights according to SQL-standardSecurity Hooks for custom implementationsAccess rights for users and roles

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More resources
BrytlytIgniteTarantool
DB-Engines blog posts

Data processing speed and reliability: in-memory synchronous replication
9 November 2021,  Vladimir Perepelytsya, Tarantool (sponsor) 

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Recent citations in the news

USD 361.56 million growth for GPU Database Market from 2020 to 2025 |Evolving Opportunities with BlazingSQL Inc., Brytlyt Ltd. & Hetero DB Co. Ltd.|17000+ Technavio Reports
26 November 2021, PRNewswire

Brytlyt Unleashes Serverless GPU-Acceleration for Analytics
15 September 2021, PR Newswire UK

Brytlyt Awarded US Patent for Relational JOINs Algorithm
27 August 2021, PRNewswire

Brytlyt Lauded by Frost & Sullivan for Building BrytlytDB, a GPU-powered Analytics Platform that Is Transforming the Way Companies Leverage Data
21 June 2021, MarTech Series

Brytlyt Secures Series A to Turbocharge Real-Time Data Analytics
20 May 2020, PRNewswire

provided by Google News

First Apache Ignite Summit Energizes Global Audience
10 June 2021, GlobeNewswire

GridGain Expands SaaS Portfolio, Makes GridGain Nebula Available to All Apache Ignite Users
28 October 2021, GlobeNewswire

GridGain Opens Registration, Announces Call for Papers for Ignite Summit
31 August 2021, GlobeNewswire

GridGain Expands Ignite Summit, Adds Pre-conference Day
5 October 2021, GlobeNewswire

GridGain Offers Sneak Peek at Featured Speakers for First Ignite Summit
14 April 2021, GlobeNewswire

provided by Google News

Tarantool: A Lua-based database engine and in-memory data grid
13 April 2016, opensource.com

provided by Google News

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