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DBMS > Heroic vs. Kinetica vs. Oracle

System Properties Comparison Heroic vs. Kinetica vs. Oracle

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Editorial information provided by DB-Engines
NameHeroic  Xexclude from comparisonKinetica  Xexclude from comparisonOracle  Xexclude from comparison
DescriptionTime Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchGPU-accelerated database for real-time analysis of large and streaming datasetsWidely used RDBMS
Primary database modelTime Series DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument store
Graph DBMS infowith Oracle Spatial and Graph
RDF store infowith Oracle Spatial and Graph
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.39
Rank#248  Overall
#18  Time Series DBMS
Score0.75
Rank#194  Overall
#98  Relational DBMS
Score1316.67
Rank#1  Overall
#1  Relational DBMS
Websitespotify.github.io/­heroic/­#!/­indexwww.kinetica.comwww.oracle.com/­database
Technical documentationspotify.github.io/­heroic/­#!/­docs/­overviewwww.kinetica.com/­docsdocs.oracle.com/­en/­database
DeveloperSpotifyKineticaOracle
Initial release201420121980
Current release6.019c, February 2019
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialcommercial inforestricted free version is available
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC, C++C and C++
Server operating systemsLinuxAIX
HP-UX
Linux
OS X
Solaris
Windows
z/OS
Data schemeschema-freeyesyes infoSchemaless in JSON and XML columns
Typing infopredefined data types such as float or dateyesyesyes
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.nonoyes
Secondary indexesyes infovia Elasticsearchyesyes
SQL infoSupport of SQLnoSQL-like DML and DDL statementsyes infowith proprietary extensions
APIs and other access methodsHQL (Heroic Query Language, a JSON-based language)
HTTP API
JDBC
ODBC
RESTful HTTP API
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Supported programming languagesC++
Java
JavaScript (Node.js)
Python
C
C#
C++
Clojure
Cobol
Delphi
Eiffel
Erlang
Fortran
Groovy
Haskell
Java
JavaScript
Lisp
Objective C
OCaml
Perl
PHP
Python
R
Ruby
Scala
Tcl
Visual Basic
Server-side scripts infoStored proceduresnouser defined functionsPL/SQL infoalso stored procedures in Java possible
Triggersnoyes infotriggers when inserted values for one or more columns fall within a specified rangeyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding, horizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replicationMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono infocan be realized in PL/SQL
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Immediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integritynoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACID infoisolation level can be parameterized
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.noyes infoGPU vRAM or System RAMyes infoVersion 12c introduced the new option 'Oracle Database In-Memory'
User concepts infoAccess controlAccess rights for users and roles on table levelfine grained access rights according to SQL-standard

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More resources
HeroicKineticaOracle
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Recent citations in the news

Review: Google Bigtable scales with ease
7 September 2016, InfoWorld

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GPU Database Market to Witness Huge Growth by 2027 | Kinetica, Omnisci, Sqream and Others
22 February 2021, NY Market Reports

GPU Database Market Competitive Insights and Analysis 2021-2026 | Kinetica, OmniSci, SQream, Neo4j, NVIDIA, Brytlyt, Blazegraph, BlazingDB, Zilliz, and Jedox. Moreover, the other prospective players in the GPU database market are HeteroDB, H2O.ai, FASTDATA.io, Fuzzy Logix, and Anaconda.
23 February 2021, NeighborWebSJ

GPU Database Market Dynamics Forces, New Market Opportunities by Players – Graphistry, BlazingDB, Kinetica, SQream, Zilliz, OmniSci, Brytlyt, NVIDIA, Blazegraph, Jedox, Neo4j, HeteroDB, Fuzzy Logix, Anaconda
23 February 2021, The Bisouv Network

GPU Database Market is set to garner staggering revenues by 2028: Kinetica, OmniSci,SQream , Neo4j , NVIDIA , Brytlyt, Blazegraph. – NeighborWebSJ
18 February 2021, NeighborWebSJ

GPU Database Market 2020 Size, Share, Demand And Detailed Competitive Outlook by 2028 – NY Market Reports
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