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DBMS > Brytlyt vs. Spark SQL vs. Tarantool

System Properties Comparison Brytlyt vs. Spark SQL vs. Tarantool

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Editorial information provided by DB-Engines
NameBrytlyt  Xexclude from comparisonSpark SQL  Xexclude from comparisonTarantool  Xexclude from comparison
DescriptionScalable GPU-accelerated RDBMS for very fast analytic and streaming workloads, leveraging PostgreSQLSpark SQL is a component on top of 'Spark Core' for structured data processingIn-memory database with an integrated application server
Primary database modelRelational DBMSRelational DBMSKey-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
Score0.39
Rank#253  Overall
#119  Relational DBMS
Score22.94
Rank#34  Overall
#20  Relational DBMS
Score1.56
Rank#137  Overall
#26  Key-value stores
Websitewww.brytlyt.comspark.apache.org/­sqlwww.tarantool.io
Technical documentationspark.apache.org/­docs/­latest/­sql-programming-guide.htmlwww.tarantool.io/­en/­doc
DeveloperBrytlytApache Software FoundationMail.ru Group
Initial release201620142008
Current release0.9, October 20163.1.1, March 20212.4.2, 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

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Implementation languageC, C++ and CUDAScalaC and C++
Server operating systemsLinux
OS X
Windows
Linux
OS X
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.nono
Secondary indexesyesnoyes
SQL infoSupport of SQLyesSQL-like DML and DDL statementsFull-featured ANSI SQL support
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
JDBC
ODBC
Open binary protocol
Supported programming languages.Net
C
C++
Delphi
Java
Perl
Python
Tcl
Java
Python
R
Scala
C
C#
C++
Erlang
Go
Java
JavaScript
Lua
Perl
PHP
Python
Rust
Server-side scripts infoStored proceduresuser defined functions infoin PL/pgSQLnoLua, C and SQL stored procedures
Triggersyesnoyes
Partitioning methods infoMethods for storing different data on different nodesyes, utilizing Spark CoreHash sharding based on virtual buckets
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationnoneMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnoyes, with SQL
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID, 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.noyes, full featured in-memory storage engine with persistence
User concepts infoAccess controlfine grained access rights according to SQL-standardnoAccess rights for users and roles

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More resources
BrytlytSpark SQLTarantool
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GPU Database Market 2021 Production Share, Growth Rate Analysis by – Neo4j, Brytlyt, Blazegraph, HeteroDB, Graphistry, etc – Puck77
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“Global GPU Database Market SWOT Analysis 2021 by Top Manufacturers: Kinetica , Omnisci , Sqream , Neo4j , Nvidia , Brytlyt , Jedox , Blazegraph , Blazingdb , Zilliz , Heterodb , H2o.Ai , Fastdata.Io , Fuzzy Logix , Graphistry , Anaconda , etc….” – Puck77
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