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

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

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Editorial information provided by DB-Engines
Nameatoti  Xexclude from comparisonDerby infooften called Apache Derby, originally IBM Cloudscape; contained in the Java SDK as JavaDB  Xexclude from comparisonGeoMesa  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparison
DescriptionAn in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.Full-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.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 Server
Primary database modelObject oriented DBMSRelational DBMSSpatial DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.59
Rank#242  Overall
#10  Object oriented DBMS
Score5.30
Rank#66  Overall
#36  Relational DBMS
Score0.81
Rank#214  Overall
#4  Spatial DBMS
Score22.71
Rank#30  Overall
#18  Relational DBMS
Websiteatoti.iodb.apache.org/­derbywww.geomesa.orgazure.microsoft.com/­services/­synapse-analytics
Technical documentationdocs.atoti.iodb.apache.org/­derby/­manuals/­index.htmlwww.geomesa.org/­documentation/­stable/­user/­index.htmldocs.microsoft.com/­azure/­synapse-analytics
DeveloperActiveViamApache Software FoundationCCRi and othersMicrosoft
Initial release199720142016
Current release10.17.1.0, November 20234.0.5, February 2024
License infoCommercial or Open Sourcecommercial infofree versions availableOpen Source infoApache version 2Open Source infoApache License 2.0commercial
Cloud-based only infoOnly available as a cloud servicenononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaScalaC++
Server operating systemsAll OS with a Java VMhosted
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.yesnono
Secondary indexesyesyesyes
SQL infoSupport of SQLMultidimensional Expressions (MDX)yesnoyes
APIs and other access methodsJDBCADO.NET
JDBC
ODBC
Supported programming languagesJavaC#
Java
PHP
Server-side scripts infoStored proceduresPythonJava Stored ProceduresnoTransact SQL
Triggersyesnono
Partitioning methods infoMethods for storing different data on different nodesSharding, horizontal partitioningnonedepending on storage layerSharding, horizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationdepending on storage layeryes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistencydepending on storage layerImmediate Consistency
Foreign keys infoReferential integrityyesnono 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 dataACIDnoACID
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.yesyesdepending on storage layer
User concepts infoAccess controlfine grained access rights according to SQL-standardyes infodepending on the DBMS used for storageyes

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More resources
atotiDerby infooften called Apache Derby, originally IBM Cloudscape; contained in the Java SDK as JavaDBGeoMesaMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse
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