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DBMS > GridGain vs. Quasardb vs. Rockset vs. ScyllaDB

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

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Editorial information provided by DB-Engines
NameGridGain  Xexclude from comparisonQuasardb  Xexclude from comparisonRockset  Xexclude from comparisonScyllaDB  Xexclude from comparison
DescriptionGridGain is an in-memory computing platform, built on Apache IgniteDistributed, high-performance timeseries databaseA scalable, reliable search and analytics service in the cloud, built on RocksDBCassandra and DynamoDB compatible wide column store
Primary database modelKey-value store
Relational DBMS
Time Series DBMSDocument 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
Score1.47
Rank#154  Overall
#26  Key-value stores
#72  Relational DBMS
Score0.14
Rank#332  Overall
#29  Time Series DBMS
Score0.79
Rank#211  Overall
#35  Document stores
Score4.75
Rank#68  Overall
#5  Wide column stores
Websitewww.gridgain.comquasar.airockset.comwww.scylladb.com
Technical documentationwww.gridgain.com/­docs/­index.htmldoc.quasar.ai/­masterdocs.rockset.comdocs.scylladb.com
DeveloperGridGain Systems, Inc.quasardbRocksetScyllaDB
Initial release2007200920192015
Current releaseGridGain 8.5.13.14.1, January 2024ScyllaDB Open Source 5.4.1, January 2024
License infoCommercial or Open Sourcecommercialcommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensescommercialOpen 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 languageJava, C++, .NetC++C++C++
Server operating systemsLinux
OS X
Solaris
Windows
BSD
Linux
OS X
Windows
hostedLinux
Data schemeyesschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyesyes infointeger and binarydynamic 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.yesnono infoingestion from XML files supportedno
Secondary indexesyesyes infowith tagsall fields are automatically indexedyes infocluster global secondary indices
SQL infoSupport of SQLANSI-99 for query and DML statements, subset of DDLSQL-like query languageRead-only SQL queries, including JOINsSQL-like DML and DDL statements (CQL)
APIs and other access methodsHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
HTTP APIHTTP RESTProprietary protocol (CQL) infocompatible with CQL (Cassandra Query Language, an SQL-like language)
RESTful HTTP API (DynamoDB compatible)
Thrift
Supported programming languagesC#
C++
Java
PHP
Python
Ruby
Scala
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
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 proceduresyes (compute grid and cache interceptors can be used instead)nonoyes, Lua
Triggersyes (cache interceptors and events)nonono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoconsistent hashingAutomatic shardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes (replicated cache)Source-replica replication with selectable replication factoryesselectable replication factor infoRepresentation of geographical distribution of servers is possible
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes (compute grid and hadoop accelerator)with Hadoop integrationnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate 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 dataACIDACIDnono infoAtomicity and isolation are supported for single operations
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infoby using LevelDByesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infoTransient modeyes infoin-memory tables
User concepts infoAccess controlSecurity Hooks for custom implementationsCryptographically strong user authentication and audit trailAccess 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
GridGainQuasardbRocksetScyllaDB
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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More resources
GridGainQuasardbRocksetScyllaDB
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