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DBMS > Apache Pinot vs. GeoMesa vs. Heroic vs. Microsoft Azure SQL Database vs. Microsoft Azure Synapse Analytics

System Properties Comparison Apache Pinot vs. GeoMesa vs. Heroic vs. Microsoft Azure SQL Database vs. Microsoft Azure Synapse Analytics

Editorial information provided by DB-Engines
NameApache Pinot  Xexclude from comparisonGeoMesa  Xexclude from comparisonHeroic  Xexclude from comparisonMicrosoft Azure SQL Database infoformerly SQL Azure  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparison
DescriptionRealtime distributed OLAP datastore, designed to answer OLAP queries with low latencyGeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.Time Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchDatabase as a Service offering with high compatibility to Microsoft SQL ServerElastic, large scale data warehouse service leveraging the broad eco-system of SQL Server
Primary database modelRelational DBMSSpatial DBMSTime Series DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.38
Rank#275  Overall
#126  Relational DBMS
Score0.86
Rank#205  Overall
#4  Spatial DBMS
Score0.46
Rank#265  Overall
#22  Time Series DBMS
Score76.78
Rank#16  Overall
#11  Relational DBMS
Score19.93
Rank#31  Overall
#19  Relational DBMS
Websitepinot.apache.orgwww.geomesa.orggithub.com/­spotify/­heroicazure.microsoft.com/­en-us/­products/­azure-sql/­databaseazure.microsoft.com/­services/­synapse-analytics
Technical documentationdocs.pinot.apache.orgwww.geomesa.org/­documentation/­stable/­user/­index.htmlspotify.github.io/­heroicdocs.microsoft.com/­en-us/­azure/­azure-sqldocs.microsoft.com/­azure/­synapse-analytics
DeveloperApache Software Foundation and contributorsCCRi and othersSpotifyMicrosoftMicrosoft
Initial release20152014201420102016
Current release1.0.0, September 20235.0.0, May 2024V12
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache License 2.0Open Source infoApache 2.0commercialcommercial
Cloud-based only infoOnly available as a cloud servicenononoyesyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaScalaJavaC++C++
Server operating systemsAll OS with a Java JDK11 or higherhostedhosted
Data schemeyesyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.nonoyesno
Secondary indexesyesyes infovia Elasticsearchyesyes
SQL infoSupport of SQLSQL-like query languagenonoyesyes
APIs and other access methodsJDBCHQL (Heroic Query Language, a JSON-based language)
HTTP API
ADO.NET
JDBC
ODBC
ADO.NET
JDBC
ODBC
Supported programming languagesGo
Java
Python
.Net
C#
Java
JavaScript (Node.js)
PHP
Python
Ruby
C#
Java
PHP
Server-side scripts infoStored proceduresnonoTransact SQLTransact SQL
Triggersnonoyesno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningdepending on storage layerShardingSharding, horizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesdepending on storage layeryesyes, with always 3 replicas availableyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemdepending on storage layerEventual Consistency
Immediate Consistency
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesno 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 datanonoACIDACID
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 layerno
User concepts infoAccess controlyes infodepending on the DBMS used for storagefine grained access rights according to SQL-standardyes

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More resources
Apache PinotGeoMesaHeroicMicrosoft Azure SQL Database infoformerly SQL AzureMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse
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