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DBMS > GeoMesa vs. HugeGraph vs. Interbase vs. Kdb vs. Microsoft Azure Synapse Analytics

System Properties Comparison GeoMesa vs. HugeGraph vs. Interbase vs. Kdb vs. Microsoft Azure Synapse Analytics

Editorial information provided by DB-Engines
NameGeoMesa  Xexclude from comparisonHugeGraph  Xexclude from comparisonInterbase  Xexclude from comparisonKdb  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparison
DescriptionGeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.A fast-speed and highly-scalable Graph DBMSLight-weight proven RDBMS infooriginally from BorlandHigh performance Time Series DBMSElastic, large scale data warehouse service leveraging the broad eco-system of SQL Server
Primary database modelSpatial DBMSGraph DBMSRelational DBMSTime Series DBMS
Vector DBMS
Relational DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.86
Rank#205  Overall
#4  Spatial DBMS
Score0.17
Rank#335  Overall
#31  Graph DBMS
Score4.08
Rank#75  Overall
#41  Relational DBMS
Score7.71
Rank#49  Overall
#2  Time Series DBMS
#1  Vector DBMS
Score19.93
Rank#31  Overall
#19  Relational DBMS
Websitewww.geomesa.orggithub.com/­hugegraph
hugegraph.apache.org
www.embarcadero.com/­products/­interbasekx.comazure.microsoft.com/­services/­synapse-analytics
Technical documentationwww.geomesa.org/­documentation/­stable/­user/­index.htmlhugegraph.apache.org/­docsdocs.embarcadero.com/­products/­interbasecode.kx.comdocs.microsoft.com/­azure/­synapse-analytics
DeveloperCCRi and othersBaiduEmbarcaderoKx Systems, a division of First Derivatives plcMicrosoft
Initial release2014201819842000 infokdb was released 2000, kdb+ in 20032016
Current release5.0.0, May 20240.9InterBase 2020, December 20193.6, May 2018
License infoCommercial or Open SourceOpen Source infoApache License 2.0Open Source infoApache Version 2.0commercialcommercial infofree 32-bit versioncommercial
Cloud-based only infoOnly available as a cloud servicenonononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageScalaJavaCqC++
Server operating systemsLinux
macOS
Unix
Android
iOS
Linux
OS X
Windows
Linux
OS X
Solaris
Windows
hosted
Data schemeyesyesyesyesyes
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.nonono infoexport as XML data possibleyesno
Secondary indexesyesyes infoalso supports composite index and range indexyesyes infotable attribute 'grouped'yes
SQL infoSupport of SQLnonoyesSQL-like query language (q)yes
APIs and other access methodsJava API
RESTful HTTP API
TinkerPop Gremlin
ADO.NET
JDBC
ODBC
HTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket
ADO.NET
JDBC
ODBC
Supported programming languagesGroovy
Java
Python
.Net
C
C++
Delphi
Java
Object Pascal
PHP
Ruby
C
C#
C++
Go
J
Java
JavaScript
Lua
MatLab
Perl
PHP
Python
R
Scala
C#
Java
PHP
Server-side scripts infoStored proceduresnoasynchronous Gremlin script jobsyes infoInterbase procedure and trigger languageuser defined functionsTransact SQL
Triggersnonoyesyes infowith viewsno
Partitioning methods infoMethods for storing different data on different nodesdepending on storage layeryes infodepending on used storage backend, e.g. Cassandra and HBasenonehorizontal partitioningSharding, horizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesdepending on storage layeryes infodepending on used storage backend, e.g. Cassandra and HBaseInterbase Change ViewsSource-replica replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesvia hugegraph-sparknono infosimilar paradigm used for internal processingno
Consistency concepts infoMethods to ensure consistency in a distributed systemdepending on storage layerEventual ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes infoedges in graphyesyesno 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 datanoACIDACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoMultiversion concurreny controlyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.depending on storage layeryesyesyes
User concepts infoAccess controlyes infodepending on the DBMS used for storageUsers, roles and permissionsfine grained access rights according to SQL-standardrights management via user accountsyes
More information provided by the system vendor
GeoMesaHugeGraphInterbaseKdbMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse
Specific characteristicsIntegrated columnar database & programming system for streaming, real time and historical...
» more
Competitive advantagesprovides seamless scalability; runs on industry standard server platforms; is top-ranked...
» more
Typical application scenariostick database streaming sensor data massive intelligence applications oil and gas...
» more
Key customersGoldman Sachs Morgan Stanley Merrill Lynch J.P. Morgan Deutsche Bank IEX Securities...
» more
Market metricskdb+ performance and reliability proven by our customers in critical infrastructure...
» more
Licensing and pricing modelsupon request
» more

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More resources
GeoMesaHugeGraphInterbaseKdbMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse
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