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DBMS > Brytlyt vs. GridGain vs. Heroic vs. Kingbase vs. Microsoft Azure Synapse Analytics

System Properties Comparison Brytlyt vs. GridGain vs. Heroic vs. Kingbase vs. Microsoft Azure Synapse Analytics

Editorial information provided by DB-Engines
NameBrytlyt  Xexclude from comparisonGridGain  Xexclude from comparisonHeroic  Xexclude from comparisonKingbase  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparison
DescriptionScalable GPU-accelerated RDBMS for very fast analytic and streaming workloads, leveraging PostgreSQLGridGain is an in-memory computing platform, built on Apache IgniteTime Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchAn enterprise-class RDBMS compatible with PostgreSQL and Oracle and widely used in China.Elastic, large scale data warehouse service leveraging the broad eco-system of SQL Server
Primary database modelRelational DBMSKey-value store
Relational DBMS
Time Series DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.29
Rank#288  Overall
#131  Relational DBMS
Score1.47
Rank#154  Overall
#26  Key-value stores
#72  Relational DBMS
Score0.51
Rank#255  Overall
#21  Time Series DBMS
Score0.45
Rank#262  Overall
#123  Relational DBMS
Score20.56
Rank#31  Overall
#19  Relational DBMS
Websitebrytlyt.iowww.gridgain.comgithub.com/­spotify/­heroicwww.kingbase.com.cnazure.microsoft.com/­services/­synapse-analytics
Technical documentationdocs.brytlyt.iowww.gridgain.com/­docs/­index.htmlspotify.github.io/­heroicdocs.microsoft.com/­azure/­synapse-analytics
DeveloperBrytlytGridGain Systems, Inc.SpotifyBeiJing KINGBASE Information technologies inc.Microsoft
Initial release20162007201419992016
Current release5.0, August 2023GridGain 8.5.1V8.0, August 2021
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache 2.0commercialcommercial
Cloud-based only infoOnly available as a cloud servicenonononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++ and CUDAJava, C++, .NetJavaC and JavaC++
Server operating systemsLinux
OS X
Windows
Linux
OS X
Solaris
Windows
Linux
Windows
hosted
Data schemeyesyesschema-freeyesyes
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.yesnoyesno
Secondary indexesyesyesyes infovia Elasticsearchyesyes
SQL infoSupport of SQLyesANSI-99 for query and DML statements, subset of DDLnoStandard with numerous extensionsyes
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
HQL (Heroic Query Language, a JSON-based language)
HTTP API
ADO.NET
gokb
JDBC
kdbndp
ODBC
PDI
PDO
Pro*C
psycopg2
QT
ADO.NET
JDBC
ODBC
Supported programming languages.Net
C
C++
Delphi
Java
Perl
Python
Tcl
C#
C++
Java
PHP
Python
Ruby
Scala
.Net
C
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
C#
Java
PHP
Server-side scripts infoStored proceduresuser defined functions infoin PL/pgSQLyes (compute grid and cache interceptors can be used instead)nouser defined functionsTransact SQL
Triggersyesyes (cache interceptors and events)noyesno
Partitioning methods infoMethods for storing different data on different nodesShardingShardinghorizontal partitioning (by range, list and hash) and vertical partitioningSharding, horizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyes (replicated cache)yesyesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes (compute grid and hadoop accelerator)nonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnonoyesno infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraints
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACIDACID
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-standardSecurity Hooks for custom implementationsfine grained access rights according to SQL-standardyes

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More resources
BrytlytGridGainHeroicKingbaseMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse
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