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DBMS > Linter vs. OpenTSDB vs. PouchDB vs. ScyllaDB

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

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Editorial information provided by DB-Engines
NameLinter  Xexclude from comparisonOpenTSDB  Xexclude from comparisonPouchDB  Xexclude from comparisonScyllaDB  Xexclude from comparison
DescriptionRDBMS for high security requirementsScalable Time Series DBMS based on HBaseJavaScript DBMS with an API inspired by CouchDBCassandra and DynamoDB compatible wide column store
Primary database modelRelational DBMSTime Series DBMSDocument storeWide column store
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
Score1.68
Rank#146  Overall
#12  Time Series DBMS
Score2.28
Rank#115  Overall
#21  Document stores
Score4.75
Rank#68  Overall
#5  Wide column stores
Websitelinter.ruopentsdb.netpouchdb.comwww.scylladb.com
Technical documentationopentsdb.net/­docs/­build/­html/­index.htmlpouchdb.com/­guidesdocs.scylladb.com
Developerrelex.rucurrently maintained by Yahoo and other contributorsApache Software FoundationScyllaDB
Initial release1990201120122015
Current release7.1.1, June 2019ScyllaDB Open Source 5.4.1, January 2024
License infoCommercial or Open SourcecommercialOpen Source infoLGPLOpen SourceOpen Source infoOpen Source (AGPL), commercial license available
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++JavaJavaScriptC++
Server operating systemsAIX
Android
BSD
HP Open VMS
iOS
Linux
OS X
VxWorks
Windows
Linux
Windows
server-less, requires a JavaScript environment (browser, Node.js)Linux
Data schemeyesschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyesnumeric data for metrics, strings for tagsnoyes
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 indexesyesnoyes infovia viewsyes infocluster global secondary indices
SQL infoSupport of SQLyesnonoSQL-like DML and DDL statements (CQL)
APIs and other access methodsADO.NET
JDBC
LINQ
ODBC
OLE DB
Oracle Call Interface (OCI)
HTTP API
Telnet API
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
Supported programming languagesC
C#
C++
Java
Perl
PHP
Python
Qt
Ruby
Tcl
Erlang
Go
Java
Python
R
Ruby
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/SQLnoView functions in JavaScriptyes, Lua
Triggersyesnoyesno
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infobased on HBaseSharding infowith a proxy-based framework, named couchdb-loungeSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationselectable replication factor infobased on HBaseMulti-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
selectable replication factor infoRepresentation of geographical distribution of servers is possible
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency infobased on HBaseEventual ConsistencyEventual Consistency
Tunable Consistency infocan be individually decided for each write operation
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonono infoAtomicity and isolation are supported for single operations
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes infoby using IndexedDB, WebSQL or LevelDB as backendyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes infoin-memory tables
User concepts infoAccess controlfine grained access rights according to SQL-standardnonoAccess rights for users can be defined per object
More information provided by the system vendor
LinterOpenTSDBPouchDBScyllaDB
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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LinterOpenTSDBPouchDBScyllaDB
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