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DBMS > Databend vs. FoundationDB vs. Microsoft Azure Synapse Analytics vs. PostGIS

System Properties Comparison Databend vs. FoundationDB vs. Microsoft Azure Synapse Analytics vs. PostGIS

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Editorial information provided by DB-Engines
NameDatabend  Xexclude from comparisonFoundationDB  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonPostGIS  Xexclude from comparison
Created as commercial project in 2013, FoundationDB has been acquired by Apple in March 2015 and was withdrawn from the market. As a consequence, the product was removed from the DB-Engines ranking. In April 2018, Apple open-sourced FoundationDB and it therefore reappears in the ranking.
DescriptionAn open-source, elastic, and workload-aware cloud data warehouse designed to meet businesses' massive-scale analytics needs at low cost and with low complexityOrdered key-value store. Core features are complimented by layers.Elastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerSpatial extension of PostgreSQL
Primary database modelRelational DBMSDocument store infosupported via specific layer
Key-value store
Relational DBMS infosupported via specific SQL-layer
Relational DBMSSpatial DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.34
Rank#283  Overall
#130  Relational DBMS
Score1.06
Rank#185  Overall
#31  Document stores
#28  Key-value stores
#85  Relational DBMS
Score19.93
Rank#31  Overall
#19  Relational DBMS
Score21.72
Rank#29  Overall
#1  Spatial DBMS
Websitegithub.com/­datafuselabs/­databend
www.databend.com
github.com/­apple/­foundationdbazure.microsoft.com/­services/­synapse-analyticspostgis.net
Technical documentationdocs.databend.comapple.github.io/­foundationdbdocs.microsoft.com/­azure/­synapse-analyticspostgis.net/­documentation
DeveloperDatabend LabsFoundationDBMicrosoft
Initial release2021201320162005
Current release1.0.59, April 20236.2.28, November 20203.4.2, February 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache 2.0commercialOpen Source infoGPL v2.0
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageRustC++C++C
Server operating systemshosted
Linux
macOS
Linux
OS X
Windows
hosted
Data schemeyesschema-free infosome layers support schemasyesyes
Typing infopredefined data types such as float or dateyesno infosome layers support typingyesyes
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
Secondary indexesnonoyesyes
SQL infoSupport of SQLyessupported in specific SQL layer onlyyesyes
APIs and other access methodsCLI Client
JDBC
RESTful HTTP API
ADO.NET
JDBC
ODBC
Supported programming languagesGo
Java
JavaScript (Node.js)
Python
Rust
.Net
C
C++
Go
Java
JavaScript infoNode.js
PHP
Python
Ruby
Swift
C#
Java
PHP
Server-side scripts infoStored proceduresnoin SQL-layer onlyTransact SQLuser defined functions
Triggersnononoyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingSharding, horizontal partitioningyes infobased on PostgreSQL
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyesyesyes infobased on PostgreSQL
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyLinearizable consistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoin SQL-layer onlyno infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.no
User concepts infoAccess controlUsers with fine-grained authorization concept, user rolesnoyesyes infobased on PostgreSQL

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More resources
DatabendFoundationDBMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehousePostGIS
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