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DBMS > Brytlyt vs. GridDB vs. Heroic vs. TempoIQ vs. Warp 10

System Properties Comparison Brytlyt vs. GridDB vs. Heroic vs. TempoIQ vs. Warp 10

Editorial information provided by DB-Engines
NameBrytlyt  Xexclude from comparisonGridDB  Xexclude from comparisonHeroic  Xexclude from comparisonTempoIQ infoformerly TempoDB  Xexclude from comparisonWarp 10  Xexclude from comparison
TempoIQ seems to be decommissioned. It will be removed from the DB-Engines ranking.
DescriptionScalable GPU-accelerated RDBMS for very fast analytic and streaming workloads, leveraging PostgreSQLScalable in-memory time series database optimized for IoT and Big DataTime Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchScalable analytics DBMS for sensor data, provided as a service (SaaS)TimeSeries DBMS specialized on timestamped geo data based on LevelDB or HBase
Primary database modelRelational DBMSTime Series DBMSTime Series DBMSTime Series DBMSTime Series DBMS
Secondary database modelsKey-value store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.38
Rank#276  Overall
#127  Relational DBMS
Score2.09
Rank#120  Overall
#10  Time Series DBMS
Score0.46
Rank#265  Overall
#22  Time Series DBMS
Score0.14
Rank#344  Overall
#32  Time Series DBMS
Websitebrytlyt.iogriddb.netgithub.com/­spotify/­heroictempoiq.com (offline)www.warp10.io
Technical documentationdocs.brytlyt.iodocs.griddb.netspotify.github.io/­heroicwww.warp10.io/­content/­02_Getting_started
DeveloperBrytlytToshiba CorporationSpotifyTempoIQSenX
Initial release20162013201420122015
Current release5.0, August 20235.1, August 2022
License infoCommercial or Open SourcecommercialOpen Source infoAGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also availableOpen Source infoApache 2.0commercialOpen Source infoApache License 2.0
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC, C++ and CUDAC++JavaJava
Server operating systemsLinux
OS X
Windows
LinuxLinux
OS X
Windows
Data schemeyesyesschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyesyes infonumerical, string, blob, geometry, boolean, timestampyesyesyes
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.nononono
Secondary indexesyesyesyes infovia Elasticsearchno
SQL infoSupport of SQLyesSQL92, SQL-like TQL (Toshiba Query Language)nonono
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
JDBC
ODBC
Proprietary protocol
RESTful HTTP/JSON API
HQL (Heroic Query Language, a JSON-based language)
HTTP API
HTTP APIHTTP API
Jupyter
WebSocket
Supported programming languages.Net
C
C++
Delphi
Java
Perl
Python
Tcl
C
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C#
Java
JavaScript infoNode.js
Python
Ruby
Server-side scripts infoStored proceduresuser defined functions infoin PL/pgSQLnononoyes infoWarpScript
Triggersyesyesnoyes infoRealtime Alertsno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationSource-replica replicationyesselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoConnector for using GridDB as an input source and output destination for Hadoop MapReduce jobsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate consistency within container, eventual consistency across containersEventual Consistency
Immediate Consistency
Immediate Consistency infobased on HBase
Foreign keys infoReferential integrityyesnononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID at container levelnonono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnonoyes
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users can be defined per databasesimple authentication-based access controlMandatory use of cryptographic tokens, containing fine-grained authorizations
More information provided by the system vendor
BrytlytGridDBHeroicTempoIQ infoformerly TempoDBWarp 10
Specific characteristicsGridDB is a highly scalable, in-memory time series database optimized for IoT and...
» more
Competitive advantages1. Optimized for IoT Equipped with Toshiba's proprietary key-container data model...
» more
Typical application scenariosFactory IoT, Automative Industry, Energy, BEMS, Smart Community, Monitoring system.
» more
Key customersDenso International [see use case ] An Electric Power company [see use case ] Ishinomaki...
» more
Market metricsGitHub trending repository
» more
Licensing and pricing modelsOpen Source license (AGPL v3 & Apache v2) Commercial license (subscription)
» more

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BrytlytGridDBHeroicTempoIQ infoformerly TempoDBWarp 10
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