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DBMS > Altibase vs. GridGain vs. ScyllaDB vs. Yanza

System Properties Comparison Altibase vs. GridGain vs. ScyllaDB vs. Yanza

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Editorial information provided by DB-Engines
NameAltibase  Xexclude from comparisonGridGain  Xexclude from comparisonScyllaDB  Xexclude from comparisonYanza  Xexclude from comparison
Yanza seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionAn enterprise grade, high-performance RDBMSGridGain is an in-memory computing platform, built on Apache IgniteCassandra and DynamoDB compatible wide column storeTime Series DBMS for IoT Applications
Primary database modelRelational DBMSKey-value store
Relational DBMS
Wide column storeTime Series DBMS
Secondary database modelsKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.07
Rank#186  Overall
#87  Relational DBMS
Score1.47
Rank#154  Overall
#26  Key-value stores
#72  Relational DBMS
Score4.75
Rank#68  Overall
#5  Wide column stores
Websitealtibase.comwww.gridgain.comwww.scylladb.comyanza.com
Technical documentationgithub.com/­ALTIBASE/­Documents/­tree/­master/­Manualswww.gridgain.com/­docs/­index.htmldocs.scylladb.com
DeveloperAltibaseGridGain Systems, Inc.ScyllaDBYanza
Initial release1999200720152015
Current releasev7.3, 2023, August 2023GridGain 8.5.1ScyllaDB Open Source 5.4.1, January 2024
License infoCommercial or Open Sourcecommercial infoOpen source edition discontinued with March 2023commercialOpen Source infoOpen Source (AGPL), commercial license availablecommercial infofree version available
Cloud-based only infoOnly available as a cloud servicenononono infobut mainly used as a service provided by Yanza
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++
Server operating systemsAIX
HP-UX
Linux
Linux
OS X
Solaris
Windows
LinuxWindows
Data schemeyesyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyesno
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.noyesnono
Secondary indexesyesyesyes infocluster global secondary indicesno
SQL infoSupport of SQLANSI SQL-92ANSI-99 for query and DML statements, subset of DDLSQL-like DML and DDL statements (CQL)no
APIs and other access methodsJDBC
ODBC
Proprietary protocol
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
Proprietary protocol (CQL) infocompatible with CQL (Cassandra Query Language, an SQL-like language)
RESTful HTTP API (DynamoDB compatible)
Thrift
HTTP API
Supported programming languagesC
C++
Java
C#
C++
Java
PHP
Python
Ruby
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
any language that supports HTTP calls
Server-side scripts infoStored proceduresstored procedures and stored functionsyes (compute grid and cache interceptors can be used instead)yes, Luano
Triggersyesyes (cache interceptors and events)noyes infoTimer and event based
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes (replicated cache)selectable replication factor infoRepresentation of geographical distribution of servers is possiblenone
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 systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Tunable Consistency infocan be individually decided for each write operation
Immediate Consistency
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDno infoAtomicity and isolation are supported for single operationsno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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 controlfine grained access rights according to SQL-standardSecurity Hooks for custom implementationsAccess rights for users can be defined per objectno
More information provided by the system vendor
AltibaseGridGainScyllaDBYanza
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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AltibaseGridGainScyllaDBYanza
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