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DBMS > Brytlyt vs. Google Cloud Spanner vs. HEAVY.AI vs. Rockset

System Properties Comparison Brytlyt vs. Google Cloud Spanner vs. HEAVY.AI vs. Rockset

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Editorial information provided by DB-Engines
NameBrytlyt  Xexclude from comparisonGoogle Cloud Spanner  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonRockset  Xexclude from comparison
DescriptionScalable GPU-accelerated RDBMS for very fast analytic and streaming workloads, leveraging PostgreSQLA horizontally scalable, globally consistent, relational database service. It is the externalization of the core Google database that runs the biggest aspects of Google, like Ads and Google Play.A high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareA scalable, reliable search and analytics service in the cloud, built on RocksDB
Primary database modelRelational DBMSRelational DBMSRelational DBMSDocument store
Secondary database modelsSpatial DBMSRelational DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.29
Rank#288  Overall
#131  Relational DBMS
Score2.89
Rank#103  Overall
#52  Relational DBMS
Score1.77
Rank#141  Overall
#65  Relational DBMS
Score0.79
Rank#211  Overall
#35  Document stores
Websitebrytlyt.iocloud.google.com/­spannergithub.com/­heavyai/­heavydb
www.heavy.ai
rockset.com
Technical documentationdocs.brytlyt.iocloud.google.com/­spanner/­docsdocs.heavy.aidocs.rockset.com
DeveloperBrytlytGoogleHEAVY.AI, Inc.Rockset
Initial release2016201720162019
Current release5.0, August 20235.10, January 2022
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache Version 2; enterprise edition availablecommercial
Cloud-based only infoOnly available as a cloud servicenoyesnoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC, C++ and CUDAC++ and CUDAC++
Server operating systemsLinux
OS X
Windows
hostedLinuxhosted
Data schemeyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesdynamic typing
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 infoingestion from XML files supported
Secondary indexesyesyesnoall fields are automatically indexed
SQL infoSupport of SQLyesyes infoQuery statements complying to ANSI 2011yesRead-only SQL queries, including JOINs
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
gRPC (using protocol buffers) API
JDBC infoAt present, JDBC supports read-only queries. No support for DDL or DML statements.
RESTful HTTP API
JDBC
ODBC
Thrift
Vega
HTTP REST
Supported programming languages.Net
C
C++
Delphi
Java
Perl
Python
Tcl
Go
Java
JavaScript (Node.js)
Python
All languages supporting JDBC/ODBC/Thrift
Python
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresuser defined functions infoin PL/pgSQLnonono
Triggersyesnonono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoRound robinAutomatic sharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-source replication with 3 replicas for regional instances.Multi-source replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infousing Google Cloud Dataflownono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyesyes infoby using interleaved tables, this features focuses more on performance improvements than on referential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID infoStrict serializable isolationnono
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.noyes
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)fine grained access rights according to SQL-standardAccess rights for users and organizations can be defined via Rockset console

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More resources
BrytlytGoogle Cloud SpannerHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022Rockset
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

London’s Brytlyt raises €4.4 million for its data analytics and visualisation technology
22 December 2021, EU-Startups

Brytlyt becomes NVIDIA Inception Premier Partner
31 January 2023, PR Newswire

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provided by Google News

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HEAVY.AI Launches HEAVY 7.0, Introducing Real-Time Machine Learning Capabilities
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Honing business data with AI real-time analytics
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Rockset targets cost control with latest database update
31 January 2024, TechTarget

Rockset Announces 2024 Index Conference, Industry Event for Engineers Building Search, Analytics, and AI ...
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Rockset Releases New Instance Class, Gains Momentum as the Search and Analytics Database Built for the Cloud
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provided by Google News



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