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

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

Editorial information provided by DB-Engines
NameDrizzle  Xexclude from comparisonGeoMesa  Xexclude from comparisonHugeGraph  Xexclude from comparisonKdb  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparison
Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.
DescriptionMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.GeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.A fast-speed and highly-scalable Graph DBMSHigh performance Time Series DBMSElastic, large scale data warehouse service leveraging the broad eco-system of SQL Server
Primary database modelRelational DBMSSpatial DBMSGraph 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
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
kx.comazure.microsoft.com/­services/­synapse-analytics
Technical documentationwww.geomesa.org/­documentation/­stable/­user/­index.htmlhugegraph.apache.org/­docscode.kx.comdocs.microsoft.com/­azure/­synapse-analytics
DeveloperDrizzle project, originally started by Brian AkerCCRi and othersBaiduKx Systems, a division of First Derivatives plcMicrosoft
Initial release2008201420182000 infokdb was released 2000, kdb+ in 20032016
Current release7.2.4, September 20125.0.0, May 20240.93.6, May 2018
License infoCommercial or Open SourceOpen Source infoGNU GPLOpen Source infoApache License 2.0Open Source infoApache Version 2.0commercial 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 languageC++ScalaJavaqC++
Server operating systemsFreeBSD
Linux
OS X
Linux
macOS
Unix
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.nonoyesno
Secondary indexesyesyesyes infoalso supports composite index and range indexyes infotable attribute 'grouped'yes
SQL infoSupport of SQLyes infowith proprietary extensionsnonoSQL-like query language (q)yes
APIs and other access methodsJDBCJava API
RESTful HTTP API
TinkerPop Gremlin
HTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket
ADO.NET
JDBC
ODBC
Supported programming languagesC
C++
Java
PHP
Groovy
Java
Python
C
C#
C++
Go
J
Java
JavaScript
Lua
MatLab
Perl
PHP
Python
R
Scala
C#
Java
PHP
Server-side scripts infoStored proceduresnonoasynchronous Gremlin script jobsuser defined functionsTransact SQL
Triggersno infohooks for callbacks inside the server can be used.nonoyes infowith viewsno
Partitioning methods infoMethods for storing different data on different nodesShardingdepending on storage layeryes infodepending on used storage backend, e.g. Cassandra and HBasehorizontal partitioningSharding, horizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
depending on storage layeryes infodepending on used storage backend, e.g. Cassandra and HBaseSource-replica replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesvia hugegraph-sparkno infosimilar paradigm used for internal processingno
Consistency concepts infoMethods to ensure consistency in a distributed systemdepending on storage layerEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnoyes infoedges in graphyesno 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 dataACIDnoACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
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 layeryesyes
User concepts infoAccess controlPluggable authentication mechanisms infoe.g. LDAP, HTTPyes infodepending on the DBMS used for storageUsers, roles and permissionsrights management via user accountsyes
More information provided by the system vendor
DrizzleGeoMesaHugeGraphKdbMicrosoft 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...
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Typical application scenariostick database streaming sensor data massive intelligence applications oil and gas...
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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...
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Licensing and pricing modelsupon request
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More resources
DrizzleGeoMesaHugeGraphKdbMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse
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