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DBMS > BoltDB vs. Cubrid vs. EDB Postgres vs. GeoMesa vs. Microsoft Azure Synapse Analytics

System Properties Comparison BoltDB vs. Cubrid vs. EDB Postgres vs. GeoMesa vs. Microsoft Azure Synapse Analytics

Editorial information provided by DB-Engines
NameBoltDB  Xexclude from comparisonCubrid  Xexclude from comparisonEDB Postgres  Xexclude from comparisonGeoMesa  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparison
DescriptionAn embedded key-value store for Go.CUBRID is an open-source SQL-based relational database management system with object extensions for OLTPThe EDB Postgres Platform is an enterprise-class data management platform based on the open source database PostgreSQL with flexible deployment options and Oracle compatibility features, complemented by tool kits for management, integration, and migration.GeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.Elastic, large scale data warehouse service leveraging the broad eco-system of SQL Server
Primary database modelKey-value storeRelational DBMSRelational DBMSSpatial DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.70
Rank#225  Overall
#31  Key-value stores
Score0.97
Rank#189  Overall
#86  Relational DBMS
Score1.86
Rank#131  Overall
#61  Relational DBMS
Score0.78
Rank#214  Overall
#4  Spatial DBMS
Score18.98
Rank#31  Overall
#19  Relational DBMS
Websitegithub.com/­boltdb/­boltcubrid.com (korean)
cubrid.org (english)
www.enterprisedb.comwww.geomesa.orgazure.microsoft.com/­services/­synapse-analytics
Technical documentationcubrid.org/­manualswww.enterprisedb.com/­docswww.geomesa.org/­documentation/­stable/­user/­index.htmldocs.microsoft.com/­azure/­synapse-analytics
DeveloperCUBRID Corporation, CUBRID FoundationEnterpriseDBCCRi and othersMicrosoft
Initial release20132008200520142016
Current release11.0, January 202114, December 20215.0.1, July 2024
License infoCommercial or Open SourceOpen Source infoMIT LicenseOpen Source infoApache Version 2.0commercial infoBSD for PostgreSQL-componentsOpen Source infoApache License 2.0commercial
Cloud-based only infoOnly available as a cloud servicenonononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoC, C++, JavaCScalaC++
Server operating systemsBSD
Linux
OS X
Solaris
Windows
Linux
Windows
Linux
Windows
hosted
Data schemeschema-freeyesyesyesyes
Typing infopredefined data types such as float or datenoyesyesyesyes
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.nonoyes infospecific XML-type available, but no XML query functionality.nono
Secondary indexesnoyesyesyesyes
SQL infoSupport of SQLnoyesyes infostandard with numerous extensionsnoyes
APIs and other access methodsADO.NET
JDBC
ODBC
OLE DB
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
ADO.NET
JDBC
ODBC
Supported programming languagesGoC
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
.Net
C
C++
Delphi
Java
Perl
PHP
Python
Tcl
C#
Java
PHP
Server-side scripts infoStored proceduresnoJava Stored Proceduresuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.noTransact SQL
Triggersnoyesyesnono
Partitioning methods infoMethods for storing different data on different nodesnonenonehorizontal partitioning infoby hash, list or rangedepending on storage layerSharding, horizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSource-replica replicationMulti-source replicationdepending on storage layeryes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate Consistencydepending on storage layerImmediate Consistency
Foreign keys infoReferential integritynoyesyesnono 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 datayesACIDACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yesyes
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.nononodepending on storage layer
User concepts infoAccess controlnofine grained access rights according to SQL-standardfine grained access rights according to SQL-standardyes infodepending on the DBMS used for storageyes

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More resources
BoltDBCubridEDB PostgresGeoMesaMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse
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