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DBMS > Dragonfly vs. GridGain vs. Rockset vs. ScyllaDB

System Properties Comparison Dragonfly vs. GridGain vs. Rockset vs. ScyllaDB

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Editorial information provided by DB-Engines
NameDragonfly  Xexclude from comparisonGridGain  Xexclude from comparisonRockset  Xexclude from comparisonScyllaDB  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 instanceGridGain is an in-memory computing platform, built on Apache IgniteA scalable, reliable search and analytics service in the cloud, built on RocksDBCassandra and DynamoDB compatible wide column store
Primary database modelKey-value storeKey-value store
Relational DBMS
Document storeWide column store
Secondary database modelsRelational DBMS
Search engine
Key-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.41
Rank#266  Overall
#38  Key-value stores
Score1.47
Rank#154  Overall
#26  Key-value stores
#72  Relational DBMS
Score0.79
Rank#211  Overall
#35  Document stores
Score4.75
Rank#68  Overall
#5  Wide column stores
Websitegithub.com/­dragonflydb/­dragonfly
www.dragonflydb.io
www.gridgain.comrockset.comwww.scylladb.com
Technical documentationwww.dragonflydb.io/­docswww.gridgain.com/­docs/­index.htmldocs.rockset.comdocs.scylladb.com
DeveloperDragonflyDB team and community contributorsGridGain Systems, Inc.RocksetScyllaDB
Initial release2023200720192015
Current release1.0, March 2023GridGain 8.5.1ScyllaDB Open Source 5.4.1, January 2024
License infoCommercial or Open SourceOpen Source infoBSL 1.1commercialcommercialOpen Source infoOpen Source (AGPL), commercial license available
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Scylla Cloud: Create real-time applications that run at global scale with Scylla Cloud, the industry’s most powerful NoSQL DBaaS
Implementation languageC++Java, C++, .NetC++C++
Server operating systemsLinuxLinux
OS X
Solaris
Windows
hostedLinux
Data schemescheme-freeyesschema-freeschema-free
Typing infopredefined data types such as float or datestrings, hashes, lists, sets, sorted sets, bit arraysyesdynamic typingyes
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.noyesno infoingestion from XML files supportedno
Secondary indexesnoyesall fields are automatically indexedyes infocluster global secondary indices
SQL infoSupport of SQLnoANSI-99 for query and DML statements, subset of DDLRead-only SQL queries, including JOINsSQL-like DML and DDL statements (CQL)
APIs and other access methodsProprietary protocol infoRESP - REdis Serialization ProtocolHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
HTTP RESTProprietary protocol (CQL) infocompatible with CQL (Cassandra Query Language, an SQL-like language)
RESTful HTTP API (DynamoDB compatible)
Thrift
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#
C++
Java
PHP
Python
Ruby
Scala
Go
Java
JavaScript (Node.js)
Python
For CQL interface: C#, C++, Clojure, Erlang, Go, Haskell, Java, JavaScript, Node.js, Perl, PHP, Python, Ruby, Rust, Scala
For DynamoDB interface: .Net, ColdFusion, Erlang, Groovy, Java, JavaScript, Perl, PHP, Python, Ruby
Server-side scripts infoStored proceduresLuayes (compute grid and cache interceptors can be used instead)noyes, Lua
Triggerspublish/subscribe channels provide some trigger functionalityyes (cache interceptors and events)nono
Partitioning methods infoMethods for storing different data on different nodesShardingAutomatic shardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyes (replicated cache)yesselectable replication factor infoRepresentation of geographical distribution of servers is possible
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes (compute grid and hadoop accelerator)nono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyEventual ConsistencyEventual Consistency
Tunable Consistency infocan be individually decided for each write operation
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of command blocks and scriptsACIDnono infoAtomicity and isolation are supported for single operations
Concurrency infoSupport for concurrent manipulation of datayes, strict serializability by the serveryesyesyes
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 infoin-memory tables
User concepts infoAccess controlPassword-based authenticationSecurity Hooks for custom implementationsAccess rights for users and organizations can be defined via Rockset consoleAccess rights for users can be defined per object
More information provided by the system vendor
DragonflyGridGainRocksetScyllaDB
Specific characteristicsScyllaDB is engineered to deliver predictable performance at scale. It’s adopted...
» more
Competitive advantagesHighly-performant (efficiently utilizes full resources of a node and network; millions...
» more
Typical application scenariosScyllaDB is ideal for applications that require high throughput and low latency at...
» more
Key customersDiscord, Epic Games, Expedia, Zillow, Comcast, Disney+ Hotstar, Samsung, ShareChat,...
» more
Market metricsScyllaDB typically offers ~75% total cost of ownership savings, with ~5X higher throughput...
» more
Licensing and pricing modelsScyllaDB Open Source - free open source software (AGPL) ScyllaDB Enterprise - subscription-based...
» more

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DragonflyGridGainRocksetScyllaDB
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