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DBMS > Microsoft Azure Synapse Analytics vs. PostGIS vs. Tarantool vs. TinkerGraph

System Properties Comparison Microsoft Azure Synapse Analytics vs. PostGIS vs. Tarantool vs. TinkerGraph

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Editorial information provided by DB-Engines
NameMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonPostGIS  Xexclude from comparisonTarantool  Xexclude from comparisonTinkerGraph  Xexclude from comparison
DescriptionElastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerSpatial extension of PostgreSQLIn-memory computing platform with a flexible data schema for efficiently building high-performance applicationsA lightweight, in-memory graph engine that serves as a reference implementation of the TinkerPop3 API
Primary database modelRelational DBMSSpatial DBMSDocument store
Key-value store
Relational DBMS
Graph DBMS
Secondary database modelsRelational DBMSSpatial DBMS infowith Tarantool/GIS extension
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score19.93
Rank#31  Overall
#19  Relational DBMS
Score21.72
Rank#29  Overall
#1  Spatial DBMS
Score1.67
Rank#143  Overall
#25  Document stores
#25  Key-value stores
#65  Relational DBMS
Score0.13
Rank#345  Overall
#35  Graph DBMS
Websiteazure.microsoft.com/­services/­synapse-analyticspostgis.netwww.tarantool.iotinkerpop.apache.org/­docs/­current/­reference/­#tinkergraph-gremlin
Technical documentationdocs.microsoft.com/­azure/­synapse-analyticspostgis.net/­documentationwww.tarantool.io/­en/­doc
DeveloperMicrosoftVK
Initial release2016200520082009
Current release3.4.2, February 20242.10.0, May 2022
License infoCommercial or Open SourcecommercialOpen Source infoGPL v2.0Open Source infoBSD-2, source-available extensions (modules), commercial licenses for Tarantool EnterpriseOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++CC and C++Java
Server operating systemshostedBSD
Linux
macOS
Data schemeyesyesFlexible data schema: relational definition for tables with ability to store json-like documents in columnsschema-free
Typing infopredefined data types such as float or dateyesyesstring, double, decimal, uuid, integer, blob, boolean, datetimeyes
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.noyesnono
Secondary indexesyesyesyesno
SQL infoSupport of SQLyesyesFull-featured ANSI SQL supportno
APIs and other access methodsADO.NET
JDBC
ODBC
Open binary protocolTinkerPop 3
Supported programming languagesC#
Java
PHP
C
C#
C++
Erlang
Go
Java
JavaScript
Lua
Perl
PHP
Python
Rust
Groovy
Java
Server-side scripts infoStored proceduresTransact SQLuser defined functionsLua, C and SQL stored proceduresno
Triggersnoyesyes, before/after data modification events, on replication events, client session eventsno
Partitioning methods infoMethods for storing different data on different nodesSharding, horizontal partitioningyes infobased on PostgreSQLSharding, partitioned with virtual buckets by user defined affinity key. Live resharding for scale up and scale down without maintenance downtime.none
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes infobased on PostgreSQLAsynchronous replication with multi-master option
Configurable replication topology (full-mesh, chain, star)
Synchronous quorum replication (with Raft)
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyCasual consistency across sharding partitions
Eventual consistency within replicaset partition infowhen using asyncronous replication
Immediate Consistency within single instance
Sequential consistency including linearizable read within replicaset partition infowhen using Raft
none
Foreign keys infoReferential integrityno infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsyesyesyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID, with serializable isolation and linearizable read (within partition); Configurable MVCC (within partition); No cross-shard distributed transactionsno
Concurrency infoSupport for concurrent manipulation of datayesyesyes, cooperative multitaskingno
Durability infoSupport for making data persistentyesyesyes, write ahead loggingoptional
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes, full featured in-memory storage engine with persistenceyes
User concepts infoAccess controlyesyes infobased on PostgreSQLAccess Control Lists
Mutual TLS authentication for Tarantol Enterprise
Password based authentication
Role-based access control (RBAC) and LDAP for Tarantol Enterprise
Users and Roles
no

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More resources
Microsoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehousePostGISTarantoolTinkerGraph
DB-Engines blog posts

Spatial database management systems
6 April 2021, Matthias Gelbmann

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Data processing speed and reliability: in-memory synchronous replication
9 November 2021,  Vladimir Perepelytsya, Tarantool (sponsor) 

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