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DBMS > atoti vs. GeoMesa vs. Microsoft Azure Synapse Analytics vs. TigerGraph

System Properties Comparison atoti vs. GeoMesa vs. Microsoft Azure Synapse Analytics vs. TigerGraph

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Editorial information provided by DB-Engines
Nameatoti  Xexclude from comparisonGeoMesa  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonTigerGraph  Xexclude from comparison
DescriptionAn in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.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 ServerA complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-time
Primary database modelObject oriented DBMSSpatial DBMSRelational DBMSGraph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.56
Rank#245  Overall
#10  Object oriented DBMS
Score0.78
Rank#213  Overall
#4  Spatial DBMS
Score20.56
Rank#31  Overall
#19  Relational DBMS
Score1.83
Rank#139  Overall
#13  Graph DBMS
Websiteatoti.iowww.geomesa.orgazure.microsoft.com/­services/­synapse-analyticswww.tigergraph.com
Technical documentationdocs.atoti.iowww.geomesa.org/­documentation/­stable/­user/­index.htmldocs.microsoft.com/­azure/­synapse-analyticsdocs.tigergraph.com
DeveloperActiveViamCCRi and othersMicrosoft
Initial release201420162017
Current release4.0.5, February 2024
License infoCommercial or Open Sourcecommercial infofree versions availableOpen Source infoApache License 2.0commercialcommercial
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaScalaC++C++
Server operating systemshostedLinux
Data schemeyesyesyes
Typing infopredefined data types such as float or dateyesyesyes
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.nonono
Secondary indexesyesyes
SQL infoSupport of SQLMultidimensional Expressions (MDX)noyesSQL-like query language (GSQL)
APIs and other access methodsADO.NET
JDBC
ODBC
GSQL (TigerGraph Query Language)
Kafka
RESTful HTTP/JSON API
Supported programming languagesC#
Java
PHP
C++
Java
Server-side scripts infoStored proceduresPythonnoTransact SQLyes
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesSharding, horizontal partitioningdepending on storage layerSharding, horizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesdepending on storage layeryes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemdepending on storage layerImmediate Consistency
Foreign keys infoReferential integritynono infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesdepending on storage layerno
User concepts infoAccess controlyes infodepending on the DBMS used for storageyesRole-based access control

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More resources
atotiGeoMesaMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseTigerGraph
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