DB-EnginesExtremeDB: mitigate connectivity issues in a DBMSEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by solid IT

DBMS > GeoMesa vs. Microsoft Azure Synapse Analytics vs. SAP SQL Anywhere vs. SQream DB

System Properties Comparison GeoMesa vs. Microsoft Azure Synapse Analytics vs. SAP SQL Anywhere vs. SQream DB

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
NameGeoMesa  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonSAP SQL Anywhere infoformerly called Adaptive Server Anywhere  Xexclude from comparisonSQream DB  Xexclude from comparison
DescriptionGeoMesa 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 ServerRDBMS database and synchronization technologies for server, desktop, remote office, and mobile environmentsa GPU-based, columnar RDBMS for big data analytics workloads
Primary database modelSpatial DBMSRelational DBMSRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.78
Rank#213  Overall
#4  Spatial DBMS
Score20.56
Rank#31  Overall
#19  Relational DBMS
Score4.25
Rank#79  Overall
#43  Relational DBMS
Score0.70
Rank#227  Overall
#104  Relational DBMS
Websitewww.geomesa.orgazure.microsoft.com/­services/­synapse-analyticswww.sap.com/­products/­technology-platform/­sql-anywhere.htmlsqream.com
Technical documentationwww.geomesa.org/­documentation/­stable/­user/­index.htmldocs.microsoft.com/­azure/­synapse-analyticshelp.sap.com/­docs/­SAP_SQL_Anywheredocs.sqream.com
DeveloperCCRi and othersMicrosoftSAP infoformerly SybaseSQream Technologies
Initial release2014201619922017
Current release4.0.5, February 202417, July 20152022.1.6, December 2022
License infoCommercial or Open SourceOpen Source infoApache License 2.0commercialcommercialcommercial
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageScalaC++C++, CUDA, Haskell, Java, Scala
Server operating systemshostedAIX
HP-UX
Linux
OS X
Solaris
Windows
Linux
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyes, ANSI Standard SQL Types
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 indexesyesyesyesno
SQL infoSupport of SQLnoyesyesyes
APIs and other access methodsADO.NET
JDBC
ODBC
ADO.NET
HTTP API
JDBC
ODBC
.Net
JDBC
ODBC
Supported programming languagesC#
Java
PHP
C
C#
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnoTransact SQLyes, in C/C++, Java, .Net or Perluser defined functions in Python
Triggersnonoyesno
Partitioning methods infoMethods for storing different data on different nodesdepending on storage layerSharding, horizontal partitioningnonehorizontal and vertical partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesdepending on storage layeryesSource-replica replication infoDatabase mirroringnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemdepending on storage layerImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynono infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACID
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.depending on storage layeryes
User concepts infoAccess controlyes infodepending on the DBMS used for storageyesfine grained access rights according to SQL-standard

More information provided by the system vendor

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
GeoMesaMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseSAP SQL Anywhere infoformerly called Adaptive Server AnywhereSQream DB
DB-Engines blog posts

Spatial database management systems
6 April 2021, Matthias Gelbmann

show all

Recent citations in the news

Migrate Microsoft Azure Synapse Analytics to Amazon Redshift using AWS SCT | Amazon Web Services
18 October 2023, AWS Blog

Azure Synapse vs. Databricks: Data Platform Comparison 2024
26 March 2024, eWeek

Azure Synapse Runtime for Apache Spark 3.2 End of Support | Azure updates
22 March 2024, Microsoft

Azure Synapse Analytics: Everything you need to know about Microsoft's cloud analytics platform
24 September 2023, DataScientest

Azure Synapse Link for Cosmos DB: New Analytics Capabilities
10 November 2023, InfoQ.com

provided by Google News

SAP vulnerabilities Let Attacker Inject OS Commands—Patch Now!
11 July 2023, CybersecurityNews

SAP Again Named a Leader in 2021 Gartner® Magic Quadrant™ for Cloud Database Management Systems
16 December 2021, SAP News

SAP launches HANA cloud platform, partners with Siemens, Intel
6 May 2015, Channel Daily News

AWS, IBM, Microsoft, Google emerge Cloud DBMS leaders
22 December 2022, Daily Host News

provided by Google News

SQream Announces Strategic Integration for Powerful Big Data Analytics with Dataiku
9 February 2024, insideBIGDATA

I SQream, you SQream, we all SQream for … data analytics?
5 October 2023, fierce-network.com

SQream Joins Samsung Cloud Platform Ecosystem
26 July 2023, Datanami

GPU data warehouse startup SQream lands $39.4M funding round
24 June 2020, SiliconANGLE News

SQream Technologies raises $39.4 million for GPU-accelerated databases
24 June 2020, VentureBeat

provided by Google News



Share this page

Featured Products

RaimaDB logo

RaimaDB, embedded database for mission-critical applications. When performance, footprint and reliability matters.
Try RaimaDB for free.

SingleStore logo

Build AI apps with Vectors on SQL and JSON with milliseconds response times.
Try it today.

Neo4j logo

See for yourself how a graph database can make your life easier.
Use Neo4j online for free.

Datastax Astra logo

Bring all your data to Generative AI applications with vector search enabled by the most scalable
vector database available.
Try for Free

Milvus logo

Vector database designed for GenAI, fully equipped for enterprise implementation.
Try Managed Milvus for Free

Present your product here