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DBMS > Linter vs. PouchDB vs. ScyllaDB vs. YottaDB

System Properties Comparison Linter vs. PouchDB vs. ScyllaDB vs. YottaDB

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Editorial information provided by DB-Engines
NameLinter  Xexclude from comparisonPouchDB  Xexclude from comparisonScyllaDB  Xexclude from comparisonYottaDB  Xexclude from comparison
DescriptionRDBMS for high security requirementsJavaScript DBMS with an API inspired by CouchDBCassandra and DynamoDB compatible wide column storeA fast and solid embedded Key-value store
Primary database modelRelational DBMSDocument storeWide column storeKey-value store
Secondary database modelsSpatial DBMSKey-value storeRelational DBMS infousing the Octo plugin
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.09
Rank#346  Overall
#152  Relational DBMS
Score2.28
Rank#115  Overall
#21  Document stores
Score4.75
Rank#68  Overall
#5  Wide column stores
Score0.20
Rank#317  Overall
#47  Key-value stores
Websitelinter.rupouchdb.comwww.scylladb.comyottadb.com
Technical documentationpouchdb.com/­guidesdocs.scylladb.comyottadb.com/­resources/­documentation
Developerrelex.ruApache Software FoundationScyllaDBYottaDB, LLC
Initial release1990201220152001
Current release7.1.1, June 2019ScyllaDB Open Source 5.4.1, January 2024
License infoCommercial or Open SourcecommercialOpen SourceOpen Source infoOpen Source (AGPL), commercial license availableOpen Source infoAGPL 3.0
Cloud-based only infoOnly available as a cloud servicenononono
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 and C++JavaScriptC++C
Server operating systemsAIX
Android
BSD
HP Open VMS
iOS
Linux
OS X
VxWorks
Windows
server-less, requires a JavaScript environment (browser, Node.js)LinuxDocker
Linux
Data schemeyesschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyesnoyesno
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.nononono
Secondary indexesyesyes infovia viewsyes infocluster global secondary indicesno
SQL infoSupport of SQLyesnoSQL-like DML and DDL statements (CQL)by using the Octo plugin
APIs and other access methodsADO.NET
JDBC
LINQ
ODBC
OLE DB
Oracle Call Interface (OCI)
HTTP REST infoonly for PouchDB Server
JavaScript API
Proprietary protocol (CQL) infocompatible with CQL (Cassandra Query Language, an SQL-like language)
RESTful HTTP API (DynamoDB compatible)
Thrift
PostgreSQL wire protocol infousing the Octo plugin
Proprietary protocol
Supported programming languagesC
C#
C++
Java
Perl
PHP
Python
Qt
Ruby
Tcl
JavaScriptFor 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
C
Go
JavaScript (Node.js)
Lua
M
Perl
Python
Rust
Server-side scripts infoStored proceduresyes infoproprietary syntax with the possibility to convert from PL/SQLView functions in JavaScriptyes, Lua
Triggersyesyesno
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infowith a proxy-based framework, named couchdb-loungeSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
selectable replication factor infoRepresentation of geographical distribution of servers is possibleyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyEventual Consistency
Tunable Consistency infocan be individually decided for each write operation
Foreign keys infoReferential integrityyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnono infoAtomicity and isolation are supported for single operationsoptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes infoby using IndexedDB, WebSQL or LevelDB as backendyesyes
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 controlfine grained access rights according to SQL-standardnoAccess rights for users can be defined per objectUsers and groups based on OS-security mechanisms
More information provided by the system vendor
LinterPouchDBScyllaDBYottaDB
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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LinterPouchDBScyllaDBYottaDB
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