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DBMS > GigaSpaces vs. ScyllaDB vs. Valentina Server

System Properties Comparison GigaSpaces vs. ScyllaDB vs. Valentina Server

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Editorial information provided by DB-Engines
NameGigaSpaces  Xexclude from comparisonScyllaDB  Xexclude from comparisonValentina Server  Xexclude from comparison
DescriptionHigh performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsCassandra and DynamoDB compatible wide column storeObject-relational database and reports server
Primary database modelDocument store
Object oriented DBMS infoValues are user defined objects
Wide column storeRelational DBMS
Secondary database modelsGraph DBMS
Search engine
Key-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.02
Rank#192  Overall
#32  Document stores
#6  Object oriented DBMS
Score5.27
Rank#67  Overall
#5  Wide column stores
Score0.18
Rank#329  Overall
#144  Relational DBMS
Websitewww.gigaspaces.comwww.scylladb.comwww.valentina-db.net
Technical documentationdocs.gigaspaces.com/­latest/­landing.htmldocs.scylladb.comvalentina-db.com/­docs/­dokuwiki/­v5/­doku.php
DeveloperGigaspaces TechnologiesScyllaDBParadigma Software
Initial release200020151999
Current release15.5, September 2020ScyllaDB Open Source 5.4.1, January 20245.7.5
License infoCommercial or Open SourceOpen Source infoApache Version 2; Commercial licenses availableOpen Source infoOpen Source (AGPL), commercial license availablecommercial
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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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++
Server operating systemsLinux
macOS
Solaris
Windows
LinuxLinux
OS X
Windows
Data schemeschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyesyes
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.no infoXML can be used for describing objects metadatano
Secondary indexesyesyes infocluster global secondary indicesyes
SQL infoSupport of SQLSQL-99 for query and DML statementsSQL-like DML and DDL statements (CQL)yes
APIs and other access methodsGigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
Proprietary protocol (CQL) infocompatible with CQL (Cassandra Query Language, an SQL-like language)
RESTful HTTP API (DynamoDB compatible)
Thrift
ODBC
Supported programming languages.Net
C++
Java
Python
Scala
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
.Net
C
C#
C++
Objective-C
PHP
Ruby
Visual Basic
Visual Basic.NET
Server-side scripts infoStored proceduresyesyes, Luayes
Triggersyes, event driven architecturenoyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
selectable replication factor infoRepresentation of geographical distribution of servers is possible
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoMap-Reduce pattern can be built with XAP task executorsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYEventual Consistency
Tunable Consistency infocan be individually decided for each write operation
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno infoAtomicity and isolation are supported for single operations
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infoin-memory tablesyes
User concepts infoAccess controlRole-based access controlAccess rights for users can be defined per objectfine grained access rights according to SQL-standard
More information provided by the system vendor
GigaSpacesScyllaDBValentina Server
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
GigaSpacesScyllaDBValentina Server
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