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DBMS > Brytlyt vs. Google Cloud Bigtable vs. Graph Engine vs. KairosDB vs. Microsoft Azure Synapse Analytics

System Properties Comparison Brytlyt vs. Google Cloud Bigtable vs. Graph Engine vs. KairosDB vs. Microsoft Azure Synapse Analytics

Editorial information provided by DB-Engines
NameBrytlyt  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonGraph Engine infoformer name: Trinity  Xexclude from comparisonKairosDB  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 PostgreSQLGoogle's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.A distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engineDistributed Time Series DBMS based on Cassandra or H2Elastic, large scale data warehouse service leveraging the broad eco-system of SQL Server
Primary database modelRelational DBMSKey-value store
Wide column store
Graph DBMS
Key-value store
Time Series DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.29
Rank#288  Overall
#131  Relational DBMS
Score3.26
Rank#92  Overall
#13  Key-value stores
#8  Wide column stores
Score0.61
Rank#240  Overall
#21  Graph DBMS
#35  Key-value stores
Score0.62
Rank#239  Overall
#20  Time Series DBMS
Score20.56
Rank#31  Overall
#19  Relational DBMS
Websitebrytlyt.iocloud.google.com/­bigtablewww.graphengine.iogithub.com/­kairosdb/­kairosdbazure.microsoft.com/­services/­synapse-analytics
Technical documentationdocs.brytlyt.iocloud.google.com/­bigtable/­docswww.graphengine.io/­docs/­manualkairosdb.github.iodocs.microsoft.com/­azure/­synapse-analytics
DeveloperBrytlytGoogleMicrosoftMicrosoft
Initial release20162015201020132016
Current release5.0, August 20231.2.2, November 2018
License infoCommercial or Open SourcecommercialcommercialOpen Source infoMIT LicenseOpen Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud servicenoyesnonoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++ and CUDA.NET and CJavaC++
Server operating systemsLinux
OS X
Windows
hosted.NETLinux
OS X
Windows
hosted
Data schemeyesschema-freeyesschema-freeyes
Typing infopredefined data types such as float or dateyesnoyesyesyes
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 indexesyesnonoyes
SQL infoSupport of SQLyesnononoyes
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
gRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
RESTful HTTP APIGraphite protocol
HTTP REST
Telnet API
ADO.NET
JDBC
ODBC
Supported programming languages.Net
C
C++
Delphi
Java
Perl
Python
Tcl
C#
C++
Go
Java
JavaScript (Node.js)
Python
C#
C++
F#
Visual Basic
Java
JavaScript infoNode.js
PHP
Python
C#
Java
PHP
Server-side scripts infoStored proceduresuser defined functions infoin PL/pgSQLnoyesnoTransact SQL
Triggersyesnononono
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioningSharding infobased on CassandraSharding, horizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationInternal replication in Colossus, and regional replication between two clusters in different zonesselectable replication factor infobased on Cassandrayes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Eventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate Consistency
Foreign keys infoReferential integrityyesnononono 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 dataACIDAtomic single-row operationsnonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesoptional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storageyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesno
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)simple password-based access controlyes

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BrytlytGoogle Cloud BigtableGraph Engine infoformer name: TrinityKairosDBMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse
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