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DBMS > Brytlyt vs. Drizzle vs. Google Cloud Firestore vs. HEAVY.AI vs. Teradata Aster

System Properties Comparison Brytlyt vs. Drizzle vs. Google Cloud Firestore vs. HEAVY.AI vs. Teradata Aster

Editorial information provided by DB-Engines
NameBrytlyt  Xexclude from comparisonDrizzle  Xexclude from comparisonGoogle Cloud Firestore  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonTeradata Aster  Xexclude from comparison
Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.Teradata Aster has been integrated into other Teradata systems and therefore will be removed from the DB-Engines ranking.
DescriptionScalable GPU-accelerated RDBMS for very fast analytic and streaming workloads, leveraging PostgreSQLMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.Cloud Firestore is an auto-scaling document database for storing, syncing, and querying data for mobile and web apps. It offers seamless integration with other Firebase and Google Cloud Platform products.A high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwarePlatform for big data analytics on multistructured data sources and types
Primary database modelRelational DBMSRelational DBMSDocument storeRelational DBMSRelational DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.27
Rank#292  Overall
#132  Relational DBMS
Score6.63
Rank#54  Overall
#9  Document stores
Score1.41
Rank#153  Overall
#71  Relational DBMS
Websitebrytlyt.iofirebase.google.com/­products/­firestoregithub.com/­heavyai/­heavydb
www.heavy.ai
Technical documentationdocs.brytlyt.iofirebase.google.com/­docs/­firestoredocs.heavy.ai
DeveloperBrytlytDrizzle project, originally started by Brian AkerGoogleHEAVY.AI, Inc.Teradata
Initial release20162008201720162005
Current release5.0, August 20237.2.4, September 20125.10, January 2022
License infoCommercial or Open SourcecommercialOpen Source infoGNU GPLcommercialOpen Source infoApache Version 2; enterprise edition availablecommercial
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++ and CUDAC++C++ and CUDA
Server operating systemsLinux
OS X
Windows
FreeBSD
Linux
OS X
hostedLinuxLinux
Data schemeyesyesschema-freeyesFlexible Schema (defined schema, partial schema, schema free) infodefined schema within the relational store; partial schema or schema free in the Aster File Store
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.nonoyes infoin Aster File Store
Secondary indexesyesyesyesnoyes
SQL infoSupport of SQLyesyes infowith proprietary extensionsnoyesyes
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
JDBCAndroid
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
JDBC
ODBC
Thrift
Vega
ADO.NET
JDBC
ODBC
OLE DB
Supported programming languages.Net
C
C++
Delphi
Java
Perl
Python
Tcl
C
C++
Java
PHP
Go
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
All languages supporting JDBC/ODBC/Thrift
Python
C
C#
C++
Java
Python
R
Server-side scripts infoStored proceduresuser defined functions infoin PL/pgSQLnoyes, Firebase Rules & Cloud FunctionsnoR packages
Triggersyesno infohooks for callbacks inside the server can be used.yes, with Cloud Functionsnono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infoRound robinSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-source replication
Source-replica replication
Multi-source replicationMulti-source replicationyes infoDimension tables are replicated across all nodes in the cluster. The number of replicas for the file store can be configured.
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoUsing Cloud Dataflownoyes infoSQL Map-Reduce Framework
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integrityyesyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDyesnoACID
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.yesno
User concepts infoAccess controlfine grained access rights according to SQL-standardPluggable authentication mechanisms infoe.g. LDAP, HTTPAccess rights for users, groups and roles based on Google Cloud Identity and Access Management. Security Rules for 3rd party authentication using Firebase Auth.fine grained access rights according to SQL-standardfine grained access rights according to SQL-standard

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More resources
BrytlytDrizzleGoogle Cloud FirestoreHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022Teradata Aster
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