DBMS > Brytlyt vs. OmniSci

System Properties Comparison Brytlyt vs. OmniSci

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Our visitors often compare Brytlyt and OmniSci with Kinetica, SQream DB and Blazegraph.

Editorial information provided by DB-Engines

Name

Description

Scalable GPU-accelerated RDBMS for very fast analytic and streaming workloads, leveraging PostgreSQL

A high performance, in-memory, column-oriented RDBMS, designed to run on GPUs

Primary database model

Relational DBMS

DB-Engines Ranking measures the popularity of database management systems
Trend Chart

Score	0.38
Rank	#251	Overall
	#116	Relational DBMS

Score	1.51
Rank	#135	Overall
	#69	Relational DBMS

Website

www.brytlyt.com

www.omnisci.com

Technical documentation

docs.omnisci.com

Developer

Brytlyt

MapD Technologies, Inc.

Initial release

2016

Current release

0.9, October 2016

5.5, January 2021

License

Commercial or Open Source

commercial

Open Source

Apache Version 2; enterprise edition available

Cloud-based only

Only available as a cloud service

DBaaS offerings (sponsored links)

Database as a Service

Providers of DBaaS offerings, please contact us to be listed.

Implementation language

C, C++ and CUDA

C++ and CUDA

Server operating systems

Linux
OS X
Windows

Linux

Data scheme

yes

Typing

predefined data types such as float or date

yes

XML support

Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.

yes

specific XML-type available, but no XML query functionality.

Secondary indexes

yes

SQL

Support of SQL

yes

APIs and other access methods

ADO.NET
JDBC
native C library
ODBC
streaming API for large objects

JDBC
ODBC
Thrift

Supported programming languages

.Net
C
C++
Delphi
Java
Perl
Python
Tcl

All languages supporting JDBC/ODBC/Thrift
Python

Server-side scripts

Stored procedures

user defined functions

in PL/pgSQL

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

Sharding

Round robin

Replication methods

Methods for redundantly storing data on multiple nodes

Source-replica replication

Multi-source replication

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Foreign keys

Referential integrity

yes

Transaction concepts

Support to ensure data integrity after non-atomic manipulations of data

ACID

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

yes

In-memory capabilities

Is there an option to define some or all structures to be held in-memory only.

yes

User concepts

Access control

fine grained access rights according to SQL-standard

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More resources

Recent citations in the news

Global GPU Database Market 2025: Kinetica, Omnisci, Sqream, Neo4j, Nvidia, Brytlyt, Jedox, Blazegraph, Blazingdb, Zilliz, Heterodb, H2o.Ai, Fastdata.Io, Fuzzy Logix, Graphistry, Anaconda – NeighborWebSJ
8 March 2021, NeighborWebSJ

How GPU Acceleration is Fueling Modern Insights
25 February 2021, insideHPC

GPU Database Market Research Report 2027 : Kinetica, Omnisci, Sqream, Neo4j, Nvidia, Brytlyt, Jedox, Blazegraph, Blazingdb, Zilliz, Heterodb, H2o.Ai, Fastdata.Io, Fuzzy Logix, Graphistry, Anaconda
4 March 2021, The Bisouv Network

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

GPU Database Market Size 2021, Global Growth Rate by Manufacturers – Graphistry, BlazingDB, Kinetica, SQream, Zilliz, OmniSci, Brytlyt, NVIDIA, Blazegraph, Jedox, Neo4j, HeteroDB, Fuzzy Logix, Anaconda – The Bisouv Network
5 March 2021, The Bisouv Network

provided by Google News

OmniSci Launches Free Edition of Platform to Democratize the Power of Accelerated Analytics
3 March 2021, Yahoo Finance

Global GPU Database Market Analysis By Growth and Forecast 2025: Kinetica, Omnisci, Sqream, Neo4j, Nvidia, Brytlyt, Jedox, Blazegraph, Blazingdb, Zilliz, Heterodb, H2o.Ai, Fastdata.Io, Fuzzy Logix, Graphistry, Anaconda etc.
2 March 2021, NY Market Reports

provided by Google News

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