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DBMS > Dragonfly vs. GreptimeDB vs. H2 vs. Hazelcast

System Properties Comparison Dragonfly vs. GreptimeDB vs. H2 vs. Hazelcast

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Editorial information provided by DB-Engines
NameDragonfly  Xexclude from comparisonGreptimeDB  Xexclude from comparisonH2  Xexclude from comparisonHazelcast  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 instanceAn open source Time Series DBMS built for increased scalability, high performance and efficiencyFull-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.A widely adopted in-memory data grid
Primary database modelKey-value storeTime Series DBMSRelational DBMSKey-value store
Secondary database modelsSpatial DBMSDocument store infoJSON support with IMDG 3.12
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.49
Rank#261  Overall
#38  Key-value stores
Score0.12
Rank#351  Overall
#34  Time Series DBMS
Score8.33
Rank#46  Overall
#30  Relational DBMS
Score5.46
Rank#61  Overall
#7  Key-value stores
Websitegithub.com/­dragonflydb/­dragonfly
www.dragonflydb.io
greptime.comwww.h2database.comhazelcast.com
Technical documentationwww.dragonflydb.io/­docsdocs.greptime.comwww.h2database.com/­html/­main.htmlhazelcast.org/­imdg/­docs
DeveloperDragonflyDB team and community contributorsGreptime Inc.Thomas MuellerHazelcast
Initial release2023202220052008
Current release1.0, March 20232.2.220, July 20235.3.6, November 2023
License infoCommercial or Open SourceOpen Source infoBSL 1.1Open Source infoApache Version 2.0Open Source infodual-licence (Mozilla public license, Eclipse public license)Open Source infoApache Version 2; commercial licenses available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++RustJavaJava
Server operating systemsLinuxAndroid
Docker
FreeBSD
Linux
macOS
Windows
All OS with a Java VMAll OS with a Java VM
Data schemescheme-freeschema-free, schema definition possibleyesschema-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.nononoyes infothe object must implement a serialization strategy
Secondary indexesnoyesyesyes
SQL infoSupport of SQLnoyesyesSQL-like query language
APIs and other access methodsProprietary protocol infoRESP - REdis Serialization ProtocolgRPC
HTTP API
JDBC
JDBC
ODBC
JCache
JPA
Memcached protocol
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
C++
Erlang
Go
Java
JavaScript
Java.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
Server-side scripts infoStored proceduresLuaPythonJava Stored Procedures and User-Defined Functionsyes infoEvent Listeners, Executor Services
Triggerspublish/subscribe channels provide some trigger functionalityyesyes infoEvents
Partitioning methods infoMethods for storing different data on different nodesShardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationWith clustering: 2 database servers on different computers operate on identical copies of a databaseyes infoReplicated Map
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus Algorithm
Foreign keys infoReferential integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of command blocks and scriptsACIDone or two-phase-commit; repeatable reads; read commited
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.yesyesyes
User concepts infoAccess controlPassword-based authenticationSimple rights management via user accountsfine grained access rights according to SQL-standardRole-based access control
More information provided by the system vendor
DragonflyGreptimeDBH2Hazelcast
Specific characteristicsGreptimeDB is a SQL & Python-enabled timeseries database system built from scratch...
» more
Competitive advantages- Inherits advantages of Rust, such as excellent performance, memory safe, resource...
» more
Typical application scenariosFor IoT industries, GreptimeDB can seamless integrate with message queues and other...
» more
Key customersGreptime's clients span multiple sectors including IoT, connected vehicles, and energy...
» more
Market metricsGreptimeDB has garnered global recognition by topping GitHub trends following its...
» more
Licensing and pricing modelsGreptimeDB: open source, distributed, cloud-native TSDB; supports Hybrid Time-series...
» more

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DragonflyGreptimeDBH2Hazelcast
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