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DBMS > Amazon Redshift vs. Ehcache vs. HEAVY.AI vs. Kinetica vs. PouchDB

System Properties Comparison Amazon Redshift vs. Ehcache vs. HEAVY.AI vs. Kinetica vs. PouchDB

Editorial information provided by DB-Engines
NameAmazon Redshift  Xexclude from comparisonEhcache  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonKinetica  Xexclude from comparisonPouchDB  Xexclude from comparison
DescriptionLarge scale data warehouse service for use with business intelligence toolsA widely adopted Java cache with tiered storage optionsA high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareFully vectorized database across both GPUs and CPUsJavaScript DBMS with an API inspired by CouchDB
Primary database modelRelational DBMSKey-value storeRelational DBMSRelational DBMSDocument store
Secondary database modelsSpatial DBMSSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score16.88
Rank#35  Overall
#22  Relational DBMS
Score4.64
Rank#68  Overall
#8  Key-value stores
Score1.64
Rank#145  Overall
#67  Relational DBMS
Score0.66
Rank#234  Overall
#107  Relational DBMS
Score2.34
Rank#112  Overall
#21  Document stores
Websiteaws.amazon.com/­redshiftwww.ehcache.orggithub.com/­heavyai/­heavydb
www.heavy.ai
www.kinetica.compouchdb.com
Technical documentationdocs.aws.amazon.com/­redshiftwww.ehcache.org/­documentationdocs.heavy.aidocs.kinetica.compouchdb.com/­guides
DeveloperAmazon (based on PostgreSQL)Terracotta Inc, owned by Software AGHEAVY.AI, Inc.KineticaApache Software Foundation
Initial release20122009201620122012
Current release3.10.0, March 20225.10, January 20227.1, August 20217.1.1, June 2019
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2; commercial licenses availableOpen Source infoApache Version 2; enterprise edition availablecommercialOpen Source
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCJavaC++ and CUDAC, C++JavaScript
Server operating systemshostedAll OS with a Java VMLinuxLinuxserver-less, requires a JavaScript environment (browser, Node.js)
Data schemeyesschema-freeyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyesno
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.nonononono
Secondary indexesrestrictednonoyesyes infovia views
SQL infoSupport of SQLyes infodoes not fully support an SQL-standardnoyesSQL-like DML and DDL statementsno
APIs and other access methodsJDBC
ODBC
JCacheJDBC
ODBC
Thrift
Vega
JDBC
ODBC
RESTful HTTP API
HTTP REST infoonly for PouchDB Server
JavaScript API
Supported programming languagesAll languages supporting JDBC/ODBCJavaAll languages supporting JDBC/ODBC/Thrift
Python
C++
Java
JavaScript (Node.js)
Python
JavaScript
Server-side scripts infoStored proceduresuser defined functions infoin Pythonnonouser defined functionsView functions in JavaScript
Triggersnoyes infoCache Event Listenersnoyes infotriggers when inserted values for one or more columns fall within a specified rangeyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoby using Terracotta ServerSharding infoRound robinShardingSharding infowith a proxy-based framework, named couchdb-lounge
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes infoby using Terracotta ServerMulti-source replicationSource-replica replicationMulti-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyTunable Consistency (Strong, Eventual, Weak)Immediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationEventual Consistency
Foreign keys infoReferential integrityyes infoinformational only, not enforced by the systemnonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyes infosupports JTA and can work as an XA resourcenonono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infousing a tiered cache-storage approachyesyesyes infoby using IndexedDB, WebSQL or LevelDB as backend
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyesyes infoGPU vRAM or System RAMyes
User concepts infoAccess controlfine grained access rights according to SQL-standardnofine grained access rights according to SQL-standardAccess rights for users and roles on table levelno

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More resources
Amazon RedshiftEhcacheHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022KineticaPouchDB
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