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DBMS > Brytlyt vs. Datomic vs. Geode vs. Microsoft Azure Synapse Analytics

System Properties Comparison Brytlyt vs. Datomic vs. Geode vs. Microsoft Azure Synapse Analytics

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Editorial information provided by DB-Engines
NameBrytlyt  Xexclude from comparisonDatomic  Xexclude from comparisonGeode  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 PostgreSQLDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityGeode is a distributed data container, pooling memory, CPU, network resources, and optionally local disk across multiple processesElastic, large scale data warehouse service leveraging the broad eco-system of SQL Server
Primary database modelRelational DBMSRelational DBMSKey-value storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.38
Rank#276  Overall
#127  Relational DBMS
Score1.66
Rank#144  Overall
#66  Relational DBMS
Score1.86
Rank#134  Overall
#24  Key-value stores
Score19.93
Rank#31  Overall
#19  Relational DBMS
Websitebrytlyt.iowww.datomic.comgeode.apache.orgazure.microsoft.com/­services/­synapse-analytics
Technical documentationdocs.brytlyt.iodocs.datomic.comgeode.apache.org/­docsdocs.microsoft.com/­azure/­synapse-analytics
DeveloperBrytlytCognitectOriginally developed by Gemstone. They outsourced the project to Apache in 2015 but still deliver a commercial version as Gemfire.Microsoft
Initial release2016201220022016
Current release5.0, August 20231.0.7075, December 20231.1, February 2017
License infoCommercial or Open Sourcecommercialcommercial infolimited edition freeOpen Source infoApache Version 2; commercial licenses available as Gemfirecommercial
Cloud-based only infoOnly available as a cloud servicenononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++ and CUDAJava, ClojureJavaC++
Server operating systemsLinux
OS X
Windows
All OS with a Java VMAll OS with a Java VM infothe JDK (8 or later) is also requiredhosted
Data schemeyesyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesyes
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
Secondary indexesyesyesnoyes
SQL infoSupport of SQLyesnoSQL-like query language (OQL)yes
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
RESTful HTTP APIJava Client API
Memcached protocol
RESTful HTTP API
ADO.NET
JDBC
ODBC
Supported programming languages.Net
C
C++
Delphi
Java
Perl
Python
Tcl
Clojure
Java
.Net
All JVM based languages
C++
Groovy
Java
Scala
C#
Java
PHP
Server-side scripts infoStored proceduresuser defined functions infoin PL/pgSQLyes infoTransaction Functionsuser defined functionsTransact SQL
TriggersyesBy using transaction functionsyes infoCache Event Listenersno
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peersShardingSharding, horizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationnone infoBut extensive use of caching in the application peersMulti-source replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnonono 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 dataACIDACIDyes, on a single nodeACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes inforecommended only for testing and developmentyes
User concepts infoAccess controlfine grained access rights according to SQL-standardnoAccess rights per client and object definableyes

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