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DBMS > Kdb vs. Postgres-XL vs. PouchDB vs. ScyllaDB vs. SingleStore

System Properties Comparison Kdb vs. Postgres-XL vs. PouchDB vs. ScyllaDB vs. SingleStore

Editorial information provided by DB-Engines
NameKdb  Xexclude from comparisonPostgres-XL  Xexclude from comparisonPouchDB  Xexclude from comparisonScyllaDB  Xexclude from comparisonSingleStore infoformer name was MemSQL  Xexclude from comparison
DescriptionHigh performance Time Series DBMSBased on PostgreSQL enhanced with MPP and write-scale-out cluster featuresJavaScript DBMS with an API inspired by CouchDBCassandra and DynamoDB compatible wide column storeMySQL wire-compliant distributed RDBMS that combines an in-memory row-oriented and a disc-based column-oriented storage with patented universal storage to handle transactional and analytical workloads in one single table type
Primary database modelTime Series DBMS
Vector DBMS
Relational DBMSDocument storeWide column storeRelational DBMS
Secondary database modelsRelational DBMSDocument store
Spatial DBMS
Key-value storeDocument store
Spatial DBMS
Time Series DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.73
Rank#45  Overall
#2  Time Series DBMS
#1  Vector DBMS
Score0.43
Rank#260  Overall
#119  Relational DBMS
Score2.18
Rank#114  Overall
#21  Document stores
Score4.15
Rank#69  Overall
#5  Wide column stores
Score4.02
Rank#74  Overall
#39  Relational DBMS
Websitekx.comwww.postgres-xl.orgpouchdb.comwww.scylladb.comwww.singlestore.com
Technical documentationcode.kx.comwww.postgres-xl.org/­documentationpouchdb.com/­guidesdocs.scylladb.comdocs.singlestore.com
DeveloperKx Systems, a division of First Derivatives plcApache Software FoundationScyllaDBSingleStore Inc.
Initial release2000 infokdb was released 2000, kdb+ in 20032014 infosince 2012, originally named StormDB201220152013
Current release3.6, May 201810 R1, October 20187.1.1, June 2019ScyllaDB Open Source 6.0.2, July 20248.5, January 2024
License infoCommercial or Open Sourcecommercial infofree 32-bit versionOpen Source infoMozilla public licenseOpen SourceOpen Source infoOpen Source (AGPL), commercial license availablecommercial infofree developer edition available
Cloud-based only infoOnly available as a cloud servicenonononono
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 languageqCJavaScriptC++C++, Go
Server operating systemsLinux
OS X
Solaris
Windows
Linux
macOS
server-less, requires a JavaScript environment (browser, Node.js)LinuxLinux info64 bit version required
Data schemeyesyesschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyesnoyesyes
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.yesyes infoXML type, but no XML query functionalitynonono
Secondary indexesyes infotable attribute 'grouped'yesyes infovia viewsyes infocluster global secondary indicesyes
SQL infoSupport of SQLSQL-like query language (q)yes infodistributed, parallel query executionnoSQL-like DML and DDL statements (CQL)yes infobut no triggers and foreign keys
APIs and other access methodsHTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
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
Cluster Management API infoas HTTP Rest and CLI
HTTP API
JDBC
MongoDB API
ODBC
Supported programming languagesC
C#
C++
Go
J
Java
JavaScript
Lua
MatLab
Perl
PHP
Python
R
Scala
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
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
Bash
C
C#
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresuser defined functionsuser defined functionsView functions in JavaScriptyes, Luayes
Triggersyes infowith viewsyesyesnono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioninghorizontal partitioningSharding infowith a proxy-based framework, named couchdb-loungeShardingSharding infohash partitioning
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 possibleSource-replica replication infostores two copies of each physical data partition on two separate nodes
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infosimilar paradigm used for internal processingnoyesnono infocan define user-defined aggregate functions for map-reduce-style calculations
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual ConsistencyEventual Consistency
Tunable Consistency infocan be individually decided for each write operation
Immediate Consistency
Foreign keys infoReferential integrityyesyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID infoMVCCnono infoAtomicity and isolation are supported for single operationsACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyesyes infoby using IndexedDB, WebSQL or LevelDB as backendyesyes infoAll updates are persistent, including those to disk-based columnstores and memory-based row stores. Transaction commits are supported via write-ahead log.
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyesyes infoin-memory tablesyes
User concepts infoAccess controlrights management via user accountsfine grained access rights according to SQL-standardnoAccess rights for users can be defined per objectFine grained access control via users, groups and roles
More information provided by the system vendor
KdbPostgres-XLPouchDBScyllaDBSingleStore infoformer name was MemSQL
Specific characteristicsIntegrated columnar database & programming system for streaming, real time and historical...
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ScyllaDB is engineered to deliver predictable performance at scale. It’s adopted...
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Competitive advantagesprovides seamless scalability; runs on industry standard server platforms; is top-ranked...
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Highly-performant (efficiently utilizes full resources of a node and network; millions...
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Typical application scenariostick database streaming sensor data massive intelligence applications oil and gas...
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ScyllaDB is ideal for applications that require high throughput and low latency at...
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Key customersGoldman Sachs Morgan Stanley Merrill Lynch J.P. Morgan Deutsche Bank IEX Securities...
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Discord, Epic Games, Expedia, Zillow, Comcast, Disney+ Hotstar, Samsung, ShareChat,...
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Market metricskdb+ performance and reliability proven by our customers in critical infrastructure...
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ScyllaDB typically offers ~75% total cost of ownership savings, with ~5X higher throughput...
» more
Licensing and pricing modelsupon request
» more
ScyllaDB Open Source - free open source software (AGPL) ScyllaDB Enterprise - subscription-based...
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More resources
KdbPostgres-XLPouchDBScyllaDBSingleStore infoformer name was MemSQL
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