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DBMS > Brytlyt vs. JaguarDB vs. OpenTSDB vs. Sadas Engine

System Properties Comparison Brytlyt vs. JaguarDB vs. OpenTSDB vs. Sadas Engine

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Editorial information provided by DB-Engines
NameBrytlyt  Xexclude from comparisonJaguarDB  Xexclude from comparisonOpenTSDB  Xexclude from comparisonSadas Engine  Xexclude from comparison
DescriptionScalable GPU-accelerated RDBMS for very fast analytic and streaming workloads, leveraging PostgreSQLPerformant, highly scalable DBMS for AI and IoT applicationsScalable Time Series DBMS based on HBaseSADAS Engine is a columnar DBMS specifically designed for high performance in data warehouse environments
Primary database modelRelational DBMSKey-value store
Vector DBMS
Time Series DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.38
Rank#276  Overall
#127  Relational DBMS
Score0.06
Rank#381  Overall
#59  Key-value stores
#15  Vector DBMS
Score1.68
Rank#142  Overall
#12  Time Series DBMS
Score0.07
Rank#373  Overall
#157  Relational DBMS
Websitebrytlyt.iowww.jaguardb.comopentsdb.netwww.sadasengine.com
Technical documentationdocs.brytlyt.iowww.jaguardb.com/­support.htmlopentsdb.net/­docs/­build/­html/­index.htmlwww.sadasengine.com/­en/­sadas-engine-download-free-trial-and-documentation/­#documentation
DeveloperBrytlytDataJaguar, Inc.currently maintained by Yahoo and other contributorsSADAS s.r.l.
Initial release2016201520112006
Current release5.0, August 20233.3 July 20238.0
License infoCommercial or Open SourcecommercialOpen Source infoGPL V3.0Open Source infoLGPLcommercial infofree trial version available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++ and CUDAC++ infothe server part. Clients available in other languagesJavaC++
Server operating systemsLinux
OS X
Windows
LinuxLinux
Windows
AIX
Linux
Windows
Data schemeyesyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesnumeric data for metrics, strings for tagsyes
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.nonono
Secondary indexesyesyesnoyes
SQL infoSupport of SQLyesA subset of ANSI SQL is implemented infobut no views, foreign keys, triggersnoyes
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
JDBC
ODBC
HTTP API
Telnet API
JDBC
ODBC
Proprietary protocol
Supported programming languages.Net
C
C++
Delphi
Java
Perl
Python
Tcl
C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
Erlang
Go
Java
Python
R
Ruby
.Net
C
C#
C++
Groovy
Java
PHP
Python
Server-side scripts infoStored proceduresuser defined functions infoin PL/pgSQLnonono
Triggersyesnonono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infobased on HBasehorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-source replicationselectable replication factor infobased on HBasenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate Consistency infobased on HBaseImmediate Consistency
Foreign keys infoReferential integrityyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes infomanaged by 'Learn by Usage'
User concepts infoAccess controlfine grained access rights according to SQL-standardrights management via user accountsnoAccess rights for users, groups and roles according to SQL-standard

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More resources
BrytlytJaguarDBOpenTSDBSadas Engine
DB-Engines blog posts

Time Series DBMS are the database category with the fastest increase in popularity
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Recent citations in the 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 Secures $4M in Series A Funding
20 May 2020, Datanami

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

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Comparing Different Time-Series Databases
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28 June 2016, SiliconANGLE News

A real-time processing revival - O'Reilly Radar
2 April 2015, O'Reilly Radar

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