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DBMS > Dragonfly vs. GeoSpock vs. H2GIS vs. YugabyteDB

System Properties Comparison Dragonfly vs. GeoSpock vs. H2GIS vs. YugabyteDB

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Editorial information provided by DB-Engines
NameDragonfly  Xexclude from comparisonGeoSpock  Xexclude from comparisonH2GIS  Xexclude from comparisonYugabyteDB  Xexclude from comparison
GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.
DescriptionA drop-in Redis replacement that scales vertically to support millions of operations per second and terabyte sized workloads, all on a single instanceSpatial and temporal data processing engine for extreme data scaleSpatial extension of H2High-performance distributed SQL database for global, internet-scale applications. Wire and feature compatible with PostgreSQL.
Primary database modelKey-value storeRelational DBMSSpatial DBMSRelational DBMS
Secondary database modelsTime Series DBMSRelational DBMSDocument store
Wide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.41
Rank#266  Overall
#38  Key-value stores
Score0.00
Rank#383  Overall
#7  Spatial DBMS
Score2.91
Rank#102  Overall
#51  Relational DBMS
Websitegithub.com/­dragonflydb/­dragonfly
www.dragonflydb.io
geospock.comwww.h2gis.orgwww.yugabyte.com
Technical documentationwww.dragonflydb.io/­docswww.h2gis.org/­docs/­homedocs.yugabyte.com
github.com/­yugabyte/­yugabyte-db
DeveloperDragonflyDB team and community contributorsGeoSpockCNRSYugabyte Inc.
Initial release202320132017
Current release1.0, March 20232.0, September 20192.19, September 2023
License infoCommercial or Open SourceOpen Source infoBSL 1.1commercialOpen Source infoLGPL 3.0Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
YugabyteDB Managed is the fully managed database-as-a-service offering of YugabyteDB. Get started quickly, and effortlessly ensure continuous availability and limitless scale of your cloud native applications.
Implementation languageC++Java, JavascriptJavaC and C++
Server operating systemsLinuxhostedLinux
OS X
Data schemescheme-freeyesyesdepending on used data model
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 indexesnotemporal, categoricalyesyes
SQL infoSupport of SQLnoANSI SQL for query only (using Presto)yesyes, PostgreSQL compatible
APIs and other access methodsProprietary protocol infoRESP - REdis Serialization ProtocolJDBCJDBC
YCQL, an SQL-based flexible-schema API with its roots in Cassandra Query Language
YSQL - a fully relational SQL API that is wire compatible with the SQL language in PostgreSQL
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
JavaC
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Rust
Scala
Server-side scripts infoStored proceduresLuanoyes infobased on H2yes infosql, plpgsql, C
Triggerspublish/subscribe channels provide some trigger functionalitynoyesyes
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingnoneHash and Range Sharding, row-level geo-partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyes infobased on H2Based on Raft distributed consensus protocol, minimum 3 replicas for continuous availability
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate ConsistencyStrong consistency on writes and tunable consistency on reads
Foreign keys infoReferential integritynonoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of command blocks and scriptsnoACIDDistributed ACID with Serializable & Snapshot Isolation. Inspired by Google Spanner architecture.
Concurrency infoSupport for concurrent manipulation of datayes, strict serializability by the serveryesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyesyesyes infobased on RocksDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyesno
User concepts infoAccess controlPassword-based authenticationAccess rights for users can be defined per tableyes infobased on H2yes
More information provided by the system vendor
DragonflyGeoSpockH2GISYugabyteDB
Specific characteristicsYugabyteDB is an open source distributed SQL database for cloud native transactional...
» more
Competitive advantagesPostgreSQL compatible: Get instantly productive with a PostgreSQL compatible RDBMS....
» more
Typical application scenariosSystems of record and engagement for cloud native applications that require resilience,...
» more
Market metrics2 Million+ lifetime clusters deployed, 6.5K+ GitHub stars, 7K YugabyteDB Community...
» more
Licensing and pricing modelsApache 2.0 license for the database
» more

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DragonflyGeoSpockH2GISYugabyteDB
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