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

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

Editorial information provided by DB-Engines
NameDrizzle  Xexclude from comparisonGeoMesa  Xexclude from comparisonHarperDB  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.Ultra-low latency distributed database with an intuitive REST API supporting NoSQL and SQL (including joins). Deployment of functions and databases simultaneously with a consolidated node-level architecture.Elastic, 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 storeRelational DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.86
Rank#205  Overall
#4  Spatial DBMS
Score0.60
Rank#244  Overall
#38  Document stores
Score19.93
Rank#31  Overall
#19  Relational DBMS
Score0.14
Rank#344  Overall
#32  Time Series DBMS
Websitewww.geomesa.orgwww.harperdb.ioazure.microsoft.com/­services/­synapse-analyticswww.warp10.io
Technical documentationwww.geomesa.org/­documentation/­stable/­user/­index.htmldocs.harperdb.io/­docsdocs.microsoft.com/­azure/­synapse-analyticswww.warp10.io/­content/­02_Getting_started
DeveloperDrizzle project, originally started by Brian AkerCCRi and othersHarperDBMicrosoftSenX
Initial release20082014201720162015
Current release7.2.4, September 20125.0.0, May 20243.1, August 2021
License infoCommercial or Open SourceOpen Source infoGNU GPLOpen Source infoApache License 2.0commercial infofree community edition 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++ScalaNode.jsC++Java
Server operating systemsFreeBSD
Linux
OS X
Linux
OS X
hostedLinux
OS X
Windows
Data schemeyesyesdynamic schemayesschema-free
Typing infopredefined data types such as float or dateyesyesyes infoJSON data typesyesyes
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.nononono
Secondary indexesyesyesyesyesno
SQL infoSupport of SQLyes infowith proprietary extensionsnoSQL-like data manipulation statementsyesno
APIs and other access methodsJDBCJDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
ADO.NET
JDBC
ODBC
HTTP API
Jupyter
WebSocket
Supported programming languagesC
C++
Java
PHP
.Net
C
C#
C++
ColdFusion
D
Dart
Delphi
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
MatLab
Objective C
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Rust
Scala
Swift
C#
Java
PHP
Server-side scripts infoStored proceduresnonoCustom Functions infosince release 3.1Transact SQLyes infoWarpScript
Triggersno infohooks for callbacks inside the server can be used.nononono
Partitioning methods infoMethods for storing different data on different nodesShardingdepending on storage layerA table resides as a whole on one (or more) nodes in a clusterSharding, horizontal partitioningSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
depending on storage layeryes infothe nodes on which a table resides can be definedyesselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemdepending on storage layerImmediate ConsistencyImmediate 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 dataACIDnoAtomic execution of specific operationsACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes, using LMDByesyes
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 storageAccess rights for users and rolesyesMandatory use of cryptographic tokens, containing fine-grained authorizations

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