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DBMS > Amazon Redshift vs. Datastax Enterprise vs. HarperDB

System Properties Comparison Amazon Redshift vs. Datastax Enterprise vs. HarperDB

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Editorial information provided by DB-Engines
NameAmazon Redshift  Xexclude from comparisonDatastax Enterprise  Xexclude from comparisonHarperDB  Xexclude from comparison
DescriptionLarge scale data warehouse service for use with business intelligence toolsDataStax Enterprise (DSE) is the always-on, scalable data platform built on Apache Cassandra and designed for hybrid Cloud. DSE integrates graph, search, analytics, administration, developer tooling, and monitoring into a unified platform.Ultra-low latency distributed database with an intuitive REST API supporting NoSQL and SQL (including joins). Deployment of functions and databases simultaneously with a consolidated node-level architecture.
Primary database modelRelational DBMSWide column storeDocument store
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score26.17
Rank#31  Overall
#18  Relational DBMS
Score8.46
Rank#57  Overall
#4  Wide column stores
Score0.40
Rank#258  Overall
#39  Document stores
Websiteaws.amazon.com/­redshiftwww.datastax.com/­products/­datastax-enterpriseharperdb.io
Technical documentationdocs.aws.amazon.com/­redshiftdocs.datastax.comharperdb.io/­developers/­documentation/­overview
DeveloperAmazon (based on PostgreSQL)DataStaxHarperDB
Initial release201220112017
Current release6.8, April 20203.1, August 2021
License infoCommercial or Open Sourcecommercialcommercialcommercial infofree community edition available
Cloud-based only infoOnly available as a cloud serviceyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Datastax Astra DB: Astra DB simplifies cloud-native Cassandra application development for your apps, microservices and functions. Deploy in minutes on AWS, Google Cloud, Azure, and have it managed for you by the experts, with serverless, pay-as-you-go pricing.
Implementation languageCJavaNode.js
Server operating systemshostedLinux
OS X
Linux
OS X
Data schemeyesschema-freedynamic schema
Typing infopredefined data types such as float or dateyesyesyes infoJSON data types
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.nonono
Secondary indexesrestrictedyesyes
SQL infoSupport of SQLyes infodoes not fully support an SQL-standardSQL-like DML and DDL statements (CQL); Spark SQLSQL-like data manipulation statements
APIs and other access methodsJDBC
ODBC
Proprietary protocol infoCQL (Cassandra Query Language)
TinkerPop Gremlin infowith DSE Graph
JDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
Supported programming languagesAll languages supporting JDBC/ODBCC
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
C
C#
C++
ColdFusion
D
Dart
Delphi
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
MatLab
Objective C
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Rust
Scala
Swift
Server-side scripts infoStored proceduresuser defined functions infoin PythonnoCustom Functions infosince release 3.1
Triggersnoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infono "single point of failure"A table resides as a whole on one (or more) nodes in a cluster
Replication methods infoMethods for redundantly storing data on multiple nodesyesconfigurable replication factor, datacenter aware, advanced replication for edge computingyes infothe nodes on which a table resides can be defined
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Tunable Consistency infoconsistency level can be individually decided with each write operation
Immediate Consistency
Foreign keys infoReferential integrityyes infoinformational only, not enforced by the systemnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno infoAtomicity and isolation are supported for single operationsAtomic execution of specific operations
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes, using LMDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users can be defined per objectAccess rights for users and roles
More information provided by the system vendor
Amazon RedshiftDatastax EnterpriseHarperDB
Specific characteristicsDataStax Enterprise is scale-out data infrastructure for enterprises that need to...
» more
HarperDB is the first distributed database with hybrid SQL & NoSQL functionality...
» more
Competitive advantagesSupporting the following application requirements: Zero downtime - Built on Apache...
» more
By combining the functionality of the best SQL, NoSQL, and NewSQL products on the...
» more
Typical application scenariosApplications that must be massively and linearly scalable with 100% uptime and able...
» more
Use cases where HarperDB is a better fit than other solutions include: Rapid app...
» more
Key customersCapital One, Cisco, Comcast, eBay, McDonald's, Microsoft, Safeway, Sony, UBS, and...
» more
A few highlighted customers include: US Army, US Airforce, Chelan PUD, TATA, & Lumen....
» more
Market metricsAmong the Forbes 100 Most Innovative Companies, DataStax is trusted by 5 of the top...
» more
Over 94K total HarperDB users : 16,500+ npm downloads 73,600+ on Docker Hub 4,200+...
» more
Licensing and pricing modelsAnnual subscription
» more
HarperDB follows a freemium/premium model . A data base is only as powerful as it...
» more

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More resources
Amazon RedshiftDatastax EnterpriseHarperDB
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