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DBMS > Linter vs. PouchDB vs. ScyllaDB vs. Warp 10

System Properties Comparison Linter vs. PouchDB vs. ScyllaDB vs. Warp 10

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Editorial information provided by DB-Engines
NameLinter  Xexclude from comparisonPouchDB  Xexclude from comparisonScyllaDB  Xexclude from comparisonWarp 10  Xexclude from comparison
DescriptionRDBMS for high security requirementsJavaScript DBMS with an API inspired by CouchDBCassandra and DynamoDB compatible wide column storeTimeSeries DBMS specialized on timestamped geo data based on LevelDB or HBase
Primary database modelRelational DBMSDocument storeWide column storeTime Series DBMS
Secondary database modelsSpatial DBMSKey-value store
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
Score0.07
Rank#349  Overall
#32  Time Series DBMS
Websitelinter.rupouchdb.comwww.scylladb.comwww.warp10.io
Technical documentationpouchdb.com/­guidesdocs.scylladb.comwww.warp10.io/­content/­02_Getting_started
Developerrelex.ruApache Software FoundationScyllaDBSenX
Initial release1990201220152015
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 infoApache License 2.0
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++Java
Server operating systemsAIX
Android
BSD
HP Open VMS
iOS
Linux
OS X
VxWorks
Windows
server-less, requires a JavaScript environment (browser, Node.js)LinuxLinux
OS X
Windows
Data schemeyesschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyesnoyesyes
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)no
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
HTTP API
Jupyter
WebSocket
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
Server-side scripts infoStored proceduresyes infoproprietary syntax with the possibility to convert from PL/SQLView functions in JavaScriptyes, Luayes infoWarpScript
Triggersyesyesnono
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infowith a proxy-based framework, named couchdb-loungeShardingSharding infobased on HBase
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 possibleselectable replication factor infobased on HBase
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
Immediate Consistency infobased on HBase
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnono infoAtomicity and isolation are supported for single operationsno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
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 objectMandatory use of cryptographic tokens, containing fine-grained authorizations
More information provided by the system vendor
LinterPouchDBScyllaDBWarp 10
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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