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DBMS > Drizzle vs. GeoMesa vs. GigaSpaces vs. Microsoft Azure Synapse Analytics vs. Warp 10

System Properties Comparison Drizzle vs. GeoMesa vs. GigaSpaces vs. Microsoft Azure Synapse Analytics vs. Warp 10

Editorial information provided by DB-Engines
NameDrizzle  Xexclude from comparisonGeoMesa  Xexclude from comparisonGigaSpaces  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonWarp 10  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.High performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsElastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerTimeSeries DBMS specialized on timestamped geo data based on LevelDB or HBase
Primary database modelRelational DBMSSpatial DBMSDocument store
Object oriented DBMS infoValues are user defined objects
Relational DBMSTime Series DBMS
Secondary database modelsGraph DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.86
Rank#205  Overall
#4  Spatial DBMS
Score1.03
Rank#188  Overall
#32  Document stores
#6  Object oriented DBMS
Score19.93
Rank#31  Overall
#19  Relational DBMS
Score0.14
Rank#344  Overall
#32  Time Series DBMS
Websitewww.geomesa.orgwww.gigaspaces.comazure.microsoft.com/­services/­synapse-analyticswww.warp10.io
Technical documentationwww.geomesa.org/­documentation/­stable/­user/­index.htmldocs.gigaspaces.com/­latest/­landing.htmldocs.microsoft.com/­azure/­synapse-analyticswww.warp10.io/­content/­02_Getting_started
DeveloperDrizzle project, originally started by Brian AkerCCRi and othersGigaspaces TechnologiesMicrosoftSenX
Initial release20082014200020162015
Current release7.2.4, September 20125.0.0, May 202415.5, September 2020
License infoCommercial or Open SourceOpen Source infoGNU GPLOpen Source infoApache License 2.0Open Source infoApache Version 2; Commercial licenses availablecommercialOpen Source infoApache License 2.0
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++ScalaJava, C++, .NetC++Java
Server operating systemsFreeBSD
Linux
OS X
Linux
macOS
Solaris
Windows
hostedLinux
OS X
Windows
Data schemeyesyesschema-freeyesschema-free
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.nono infoXML can be used for describing objects metadatanono
Secondary indexesyesyesyesyesno
SQL infoSupport of SQLyes infowith proprietary extensionsnoSQL-99 for query and DML statementsyesno
APIs and other access methodsJDBCGigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
ADO.NET
JDBC
ODBC
HTTP API
Jupyter
WebSocket
Supported programming languagesC
C++
Java
PHP
.Net
C++
Java
Python
Scala
C#
Java
PHP
Server-side scripts infoStored proceduresnonoyesTransact SQLyes infoWarpScript
Triggersno infohooks for callbacks inside the server can be used.noyes, event driven architecturenono
Partitioning methods infoMethods for storing different data on different nodesShardingdepending on storage layerShardingSharding, horizontal partitioningSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
depending on storage layerMulti-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
yesselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyes infoMap-Reduce pattern can be built with XAP task executorsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemdepending on storage layerImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYImmediate ConsistencyImmediate Consistency infobased on HBase
Foreign keys infoReferential integrityyesnonono infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACIDno
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 storageRole-based access controlyesMandatory use of cryptographic tokens, containing fine-grained authorizations

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More resources
DrizzleGeoMesaGigaSpacesMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseWarp 10
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