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DBMS > HEAVY.AI vs. Kdb vs. PouchDB vs. SingleStore

System Properties Comparison HEAVY.AI vs. Kdb vs. PouchDB vs. SingleStore

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Editorial information provided by DB-Engines
NameHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonKdb  Xexclude from comparisonPouchDB  Xexclude from comparisonSingleStore infoformer name was MemSQL  Xexclude from comparison
DescriptionA high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareHigh performance Time Series DBMSJavaScript DBMS with an API inspired by CouchDBMySQL 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 modelRelational DBMSTime Series DBMS
Vector DBMS
Document storeRelational DBMS
Secondary database modelsSpatial DBMSRelational DBMSDocument store
Spatial DBMS
Time Series DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.41
Rank#153  Overall
#71  Relational DBMS
Score7.73
Rank#45  Overall
#2  Time Series DBMS
#1  Vector DBMS
Score2.18
Rank#114  Overall
#21  Document stores
Score4.02
Rank#74  Overall
#39  Relational DBMS
Websitegithub.com/­heavyai/­heavydb
www.heavy.ai
kx.compouchdb.comwww.singlestore.com
Technical documentationdocs.heavy.aicode.kx.compouchdb.com/­guidesdocs.singlestore.com
DeveloperHEAVY.AI, Inc.Kx Systems, a division of First Derivatives plcApache Software FoundationSingleStore Inc.
Initial release20162000 infokdb was released 2000, kdb+ in 200320122013
Current release5.10, January 20223.6, May 20187.1.1, June 20198.5, January 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2; enterprise edition availablecommercial infofree 32-bit versionOpen Sourcecommercial infofree developer edition 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.
Implementation languageC++ and CUDAqJavaScriptC++, Go
Server operating systemsLinuxLinux
OS X
Solaris
Windows
server-less, requires a JavaScript environment (browser, Node.js)Linux info64 bit version required
Data schemeyesyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesnoyes
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 indexesnoyes infotable attribute 'grouped'yes infovia viewsyes
SQL infoSupport of SQLyesSQL-like query language (q)noyes infobut no triggers and foreign keys
APIs and other access methodsJDBC
ODBC
Thrift
Vega
HTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket
HTTP REST infoonly for PouchDB Server
JavaScript API
Cluster Management API infoas HTTP Rest and CLI
HTTP API
JDBC
MongoDB API
ODBC
Supported programming languagesAll languages supporting JDBC/ODBC/Thrift
Python
C
C#
C++
Go
J
Java
JavaScript
Lua
MatLab
Perl
PHP
Python
R
Scala
JavaScriptBash
C
C#
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnouser defined functionsView functions in JavaScriptyes
Triggersnoyes infowith viewsyesno
Partitioning methods infoMethods for storing different data on different nodesSharding infoRound robinhorizontal partitioningSharding infowith a proxy-based framework, named couchdb-loungeSharding infohash partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationSource-replica replicationMulti-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
Source-replica replication infostores two copies of each physical data partition on two separate nodes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono infosimilar paradigm used for internal processingyesno infocan define user-defined aggregate functions for map-reduce-style calculations
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyesyes infoby using IndexedDB, WebSQL or LevelDB as backendyes 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.yesyesyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardrights management via user accountsnoFine grained access control via users, groups and roles
More information provided by the system vendor
HEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022KdbPouchDBSingleStore infoformer name was MemSQL
Specific characteristicsIntegrated columnar database & programming system for streaming, real time and historical...
» more
Competitive advantagesprovides seamless scalability; runs on industry standard server platforms; is top-ranked...
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Typical application scenariostick database streaming sensor data massive intelligence applications oil and gas...
» more
Key customersGoldman Sachs Morgan Stanley Merrill Lynch J.P. Morgan Deutsche Bank IEX Securities...
» more
Market metricskdb+ performance and reliability proven by our customers in critical infrastructure...
» more
Licensing and pricing modelsupon request
» more

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More resources
HEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022KdbPouchDBSingleStore infoformer name was MemSQL
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Recent citations in the news

5 Q’s for Mike Flaxman, Vice President of Heavy.AI
15 August 2024, Center for Data Innovation

Dr. Mike Flaxman, VP or Product Management at HEAVY.AI – Interview Series
19 September 2024, Unite.AI

HEAVY.AI Accelerates Big Data Analytics with Vultr's High-Performance GPU Cloud Infrastructure
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19 April 2023, Business Wire

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18 May 2023, AWS Blog

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9 August 2023, Professional Motorsport World

KX Brings the Power and Performance of kdb+ to Python Developers with PyKX
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Third time was the charm for SingleStore in the cloud, CEO says
8 July 2024, The Register

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24 January 2024, VentureBeat

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