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DBMS > Dragonfly vs. Geode vs. H2GIS vs. Microsoft Azure Table Storage

System Properties Comparison Dragonfly vs. Geode vs. H2GIS vs. Microsoft Azure Table Storage

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Editorial information provided by DB-Engines
NameDragonfly  Xexclude from comparisonGeode  Xexclude from comparisonH2GIS  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparison
DescriptionA drop-in Redis replacement that scales vertically to support millions of operations per second and terabyte sized workloads, all on a single instanceGeode is a distributed data container, pooling memory, CPU, network resources, and optionally local disk across multiple processesSpatial extension of H2A Wide Column Store for rapid development using massive semi-structured datasets
Primary database modelKey-value storeKey-value storeSpatial DBMSWide column store
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.49
Rank#261  Overall
#38  Key-value stores
Score1.86
Rank#134  Overall
#24  Key-value stores
Score0.08
Rank#368  Overall
#7  Spatial DBMS
Score4.04
Rank#77  Overall
#6  Wide column stores
Websitegithub.com/­dragonflydb/­dragonfly
www.dragonflydb.io
geode.apache.orgwww.h2gis.orgazure.microsoft.com/­en-us/­services/­storage/­tables
Technical documentationwww.dragonflydb.io/­docsgeode.apache.org/­docswww.h2gis.org/­docs/­home
DeveloperDragonflyDB team and community contributorsOriginally developed by Gemstone. They outsourced the project to Apache in 2015 but still deliver a commercial version as Gemfire.CNRSMicrosoft
Initial release2023200220132012
Current release1.0, March 20231.1, February 2017
License infoCommercial or Open SourceOpen Source infoBSL 1.1Open Source infoApache Version 2; commercial licenses available as GemfireOpen Source infoLGPL 3.0commercial
Cloud-based only infoOnly available as a cloud servicenononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++JavaJava
Server operating systemsLinuxAll OS with a Java VM infothe JDK (8 or later) is also requiredhosted
Data schemescheme-freeschema-freeyesschema-free
Typing infopredefined data types such as float or datestrings, hashes, lists, sets, sorted sets, bit arraysyesyesyes
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 indexesnonoyesno
SQL infoSupport of SQLnoSQL-like query language (OQL)yesno
APIs and other access methodsProprietary protocol infoRESP - REdis Serialization ProtocolJava Client API
Memcached protocol
RESTful HTTP API
RESTful HTTP API
Supported programming languagesC
C#
C++
Clojure
D
Dart
Elixir
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
Lua
Objective-C
Perl
PHP
Python
R
Ruby
Rust
Scala
Swift
Tcl
.Net
All JVM based languages
C++
Groovy
Java
Scala
Java.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresLuauser defined functionsyes infobased on H2no
Triggerspublish/subscribe channels provide some trigger functionalityyes infoCache Event Listenersyesno
Partitioning methods infoMethods for storing different data on different nodesShardingnoneSharding infoImplicit feature of the cloud service
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-source replicationyes infobased on H2yes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of command blocks and scriptsyes, on a single nodeACIDoptimistic locking
Concurrency infoSupport for concurrent manipulation of datayes, strict serializability by the serveryesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyesno
User concepts infoAccess controlPassword-based authenticationAccess rights per client and object definableyes infobased on H2Access rights based on private key authentication or shared access signatures

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More resources
DragonflyGeodeH2GISMicrosoft Azure Table Storage
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