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DBMS > Apache Spark (SQL) vs. Kdb vs. Pinecone

System Properties Comparison Apache Spark (SQL) vs. Kdb vs. Pinecone

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Editorial information provided by DB-Engines
NameApache Spark (SQL)  Xexclude from comparisonKdb  Xexclude from comparisonPinecone  Xexclude from comparison
DescriptionApache Spark SQL is a component on top of 'Spark Core' for structured data processingHigh performance Time Series DBMSA managed, cloud-native vector database
Primary database modelRelational DBMSTime Series DBMS
Vector DBMS
Vector DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score17.39
Rank#32  Overall
#20  Relational DBMS
Score6.99
Rank#51  Overall
#3  Time Series DBMS
#2  Vector DBMS
Score3.23
Rank#80  Overall
#4  Vector DBMS
Websitespark.apache.org/­sqlkx.comwww.pinecone.io
Technical documentationspark.apache.org/­docs/­latest/­sql-programming-guide.htmlcode.kx.comdocs.pinecone.io/­docs/­overview
DeveloperApache Software FoundationKx Systems, a division of First Derivatives plcPinecone Systems, Inc
Initial release20142000 infokdb was released 2000, kdb+ in 20032019
Current release3.5.0 ( 2.13), September 20233.6, May 2018
License infoCommercial or Open SourceOpen Source infoApache 2.0commercial infofree 32-bit versioncommercial
Cloud-based only infoOnly available as a cloud servicenonoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageScalaq
Server operating systemsLinux
OS X
Windows
Linux
OS X
Solaris
Windows
hosted
Data schemeyesyes
Typing infopredefined data types such as float or dateyesyesString, Number, Boolean
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.noyesno
Secondary indexesnoyes infotable attribute 'grouped'
SQL infoSupport of SQLSQL-like DML and DDL statementsSQL-like query language (q)no
APIs and other access methodsJDBC
ODBC
HTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket
RESTful HTTP API
Supported programming languagesJava
Python
R
Scala
C
C#
C++
Go
J
Java
JavaScript
Lua
MatLab
Perl
PHP
Python
R
Scala
Python
Server-side scripts infoStored proceduresnouser defined functions
Triggersnoyes infowith views
Partitioning methods infoMethods for storing different data on different nodesyes, utilizing Spark Corehorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infosimilar paradigm used for internal processingno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integritynoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanono
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesno
User concepts infoAccess controlnorights management via user accounts
More information provided by the system vendor
Apache Spark (SQL)KdbPinecone
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
Apache Spark (SQL)KdbPinecone
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