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DBMS > Brytlyt vs. Dgraph

System Properties Comparison Brytlyt vs. Dgraph

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Our visitors often compare Brytlyt and Dgraph with Blazegraph, Redis and Stardog.

Editorial information provided by DB-Engines
NameBrytlyt  Xexclude from comparisonDgraph  Xexclude from comparison
DescriptionScalable GPU-accelerated RDBMS for very fast analytic and streaming workloads, leveraging PostgreSQLDistributed and scalable native Graph DBMS
Primary database modelRelational DBMSGraph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.29
Rank#263  Overall
#119  Relational DBMS
Score1.69
Rank#134  Overall
#10  Graph DBMS
Websitewww.brytlyt.comdgraph.io
Technical documentationdgraph.io/­docs
DeveloperBrytlytDgraph Labs, Inc.
Initial release20162016
Current release0.9, October 2016
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC, C++ and CUDAGo
Server operating systemsLinux
OS X
Windows
Linux
OS X
Windows
Data schemeyesschema-free
Typing infopredefined data types such as float or dateyesyes
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.no
Secondary indexesyesyes
SQL infoSupport of SQLyesno
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
GraphQL query language
gRPC (using protocol buffers) API
HTTP API
Supported programming languages.Net
C
C++
Delphi
Java
Perl
Python
Tcl
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresuser defined functions infoin PL/pgSQLno
Triggersyesno
Partitioning methods infoMethods for storing different data on different nodesyes
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationSynchronous replication via Raft
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardno infoPlanned for future releases
More information provided by the system vendor
BrytlytDgraph
Competitive advantagesHorizontally scalable transactional graph database with fast arbitrary-depth joins...
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More resources
BrytlytDgraph
Recent citations in the news

Global GPU Database Market By Top Key Players- GPU Database are: Kinetica Blazegraph Neo4j Omnisci Jedox Sqream Zilliz Brytlyt Nvidia Blazingdb Graphistry Heterodb Anaconda Fuzzy Logix H2o.Ai Fastdata.Io
3 December 2020, Daily Research Correspondent

GPU Database Market Report 2020 Highlights On Future Development: Top Key players are- Nvidia, Kinetica DB, OmniSci, Neo4j, Brytlyt
3 December 2020, Murphy's Hockey Law

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

GPU Database Market 2020 Present Status, Future Growth 2027 and Top Companies Analysis- Fuzzy Logix, BlazingDB, SQream, HeteroDB, Graphistry, Brytlyt
30 November 2020, Murphy's Hockey Law

GPU Database Market Growth, Business Overview, Challenges, Opportunities, Trends And Market Analysis By 2025|Kinetica, OmniSci, SQream, Neo4j, NVIDIA, Brytlyt, Blazegraph, BlazingDB, Zilliz, and Jedox.
2 December 2020, Murphy's Hockey Law

provided by Google News

Dgraph Labs Launches Slash Enterprise: Fully Hosted, Serverless Version of World's Most Advanced Graph Database
3 December 2020, GlobeNewswire

China's Zillow alternative goes open source to scale a 10 billion node graph database
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